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Legend:
CC = Baltimore Convention Center,    H = Hilton Baltimore
* = applied session       ! = JSM meeting theme

Activity Details


13 * ! 		Sun, 7/30/2017, 2:00 PM - 3:50 PM CC-339
Big Data and Biology in Mental Health Statistics — Invited Papers
Mental Health Statistics Section , Section on Statistics in Imaging
Organizer(s): Catherine Ann Sugar, University of California, Los Angeles, Wesley Kurt Thompson, UCSD
Chair(s): Rui Yang, Chiltern International Inc
2:05 PM Template-Based Independent Component Analysis of fMRI: Reliable and Efficient Estimation of Subject-Level Resting-State Networks — Amanda Mejia, Indiana University ; Ying Guo, Emory University
2:30 PM Key Issues in Analyzing Big Data for Mental Health Studies: An Illustration Using Functional Data Analysis Methods for EEG — Catherine Ann Sugar, University of California, Los Angeles
2:55 PM Multi-Level Bayesian Models for Psychiatric and Brain Imaging Data — Wesley Kurt Thompson, UCSD
3:20 PM Discussant: Robert M. Bilder, UCLA
3:45 PM Floor Discussion
 
 

58 * 		Sun, 7/30/2017, 4:00 PM - 5:50 PM CC-304
Neuroimaging Statistics for Aging and Dementia Studies — Topic Contributed Papers
Biometrics Section , Section on Statistics in Imaging , International Society for Clinical Biostatistics
Organizer(s): Yorghos Tripodis, Boston University
Chair(s): Alden Gross, Johns Hopkins University
4:05 PM The Effects of White Matter Disease on the Automated Brain Segmentation in an Alzheimer's Disease Population — Dana Tudorascu ; Helmet Karim, University of Pittsburgh ; Lea Alhilali, Barrow Neurological Institute, ; Oscar Lopez, University of Pittsburgh ; Howard Aizenstein, University of Pittsburgh ; Bill Klunk, University of Pittsburgh ; Ciprian M Crainiceanu, Johns Hopkins University
4:25 PM What Happens Before Cognitive Impairment? Brain Aging Revealed by Neuroimaging. — Laurel Beckett ; Teresa Filshtein, University of California, Davis ; Cathy Wang, Harvard University, Dept of Biostatistics
4:45 PM Causal Modeling of Exposure to Repetitive Head Impacts on Tractrography Outcomes — Yorghos Tripodis, Boston University
5:05 PM Floor Discussion
 
 

63 * ! 		Sun, 7/30/2017, 4:00 PM - 5:50 PM CC-323
Statistical Methods for Brain Connectivity and Network Analysis — Topic Contributed Papers
Section on Bayesian Statistical Science , Biopharmaceutical Section , Section on Statistics in Imaging
Organizer(s): Phebe B Kemmer, Eli Lilly and Company
Chair(s): Ixavier Higgins, Emory University
4:05 PM A Longitudinal Model for Functional Connectivity Using fMRI — Brian Hart, University of Minnesota-Div of Biostatistics ; Ivor Cribben, University of Alberta ; Mark Fiecas, University of Minnesota
4:25 PM Estimating Dynamic Brain Functional Networks Using Multi-Subject fMRI Data — Suprateek Kundu, Emory University, Rollins School of Public Health
4:45 PM Clustering DTI Data to Identify White Matter Fiber Bundles Using a Mixture of Langevin Distribution — Subhadip Pal, University of Louisville
5:05 PM Towards Identifying and Refining Individual Connectivity Patterns in the Human Brain — Joaquin Goni, Purdue University ; Enrico Amico, Purdue University
5:25 PM Use of Brain Connectivity Information in Regression Parameter Estimation via Generalized Regularization — Damian Brzyski, Indiana University ; Marta Karas, Indiana University ; Joaquin Goni, Purdue University ; Beau Ances, Washington University School of Medicine ; Timothy Randolph, Fred Hutchinson Cancer Research Center ; Jaroslaw Harezlak, Indiana University School of Public Health
5:45 PM Floor Discussion
 
 

70 * ! 		Sun, 7/30/2017, 4:00 PM - 5:50 PM CC-317
Utilizing High-Dimensional and Complex Data in Personalized Medicine — Contributed Papers
Mental Health Statistics Section , Section on Statistics in Imaging
Chair(s): Himel Mallick, Harvard University
4:05 PM Assessing Latent Dimensionality of a Symptom Battery in a Sample with Many Subjects Exhibiting No Symptoms — William Christensen, Brigham Young University ; Melanie M Wall, Columbia University ; Irini Moustaki, London School of Economics
4:20 PM Sequential Outcome-Weighted Multicategory Learning for Estimating Optimal Individualized Treatment Rules — Xuan Zhou
4:35 PM Empirical Likelihood Estimator of Causal Effect under Subclassification — Junvie Pailden, Southern Illinois University Edwardsville
4:50 PM Integrating Multiple-Domain Rules for Disease Classi fication: With Application to Developing Criteria Sets for Mental Disorders — Christine Mauro, Columbia University ; M. Katherine Shear, Columbia University ; Yuanjia Wang , Columbia University
5:05 PM An Integrative Genomics Approach to Infer Gene Expression Statistical Causal Network — Akram Yazdani, Icahn School of Medicine at Mount Sinai ; Azam Yazdani, The University of Texas School of Public Health, Houston ; Panos Roussos, Icahn School of Medicine at Mount Sinai
5:20 PM Multivariate Analysis of Functional Magnetic Resonance Imaging (fMRI) Data — Abera Wouhib, NIMH/NIH
5:35 PM Evaluation of Brain Activation Changes in Functional Magnetic Resonance Imaging Data Using Cluster Analysis — Arunava Samaddar, University of Georgia
 
 

80 		Sun, 7/30/2017, 4:00 PM - 5:50 PM CC-347
Inference Methods for High-Dimensional and Complex Data — Contributed Papers
Section on Statistics in Imaging , Section on Statistical Learning and Data Science , Statistics Without Borders
Chair(s): William Lamberti, George Mason Univ
4:05 PM Local Nearest Neighbour Classification with Applications to Semi-Supervised Learning — Timothy I. Cannings, Universtiy of Southern California ; Thomas Berrett, University of Cambridge ; Richard J. Samworth, Statistical Laboratory, University of Cambridge
4:20 PM Adaptive Large-Scale Testing under Heterogeneity Sparsity — Xiang Lyu, Purdue University ; Guang Cheng, Purdue
4:35 PM Valid Stepwise Regression — Kory Johnson, University of Vienna ; Dean Foster, Amazon ; Robert Stine, University of Pennsylvania
4:50 PM Bounded-Width Confidence Interval for Gini Index Under Complex Survey — Francis Bilson Darku, University of Texas at Dallas ; Bhargab Chattopadhyay, Indian Institute of Information Technology - Vadodara
5:05 PM Testing Independence Between Two Categorical Variables — Kenneth Liu, Merck & Co.
5:20 PM Floor Discussion
 
 

119 		Mon, 7/31/2017, 8:30 AM - 10:20 AM CC-323
SPEED: Bayesian Methods Student Awards — Contributed Speed
Section on Bayesian Statistical Science , Mental Health Statistics Section , International Society for Bayesian Analysis (ISBA) , Section on Statistics in Imaging , Section on Statistics in Genomics and Genetics
Chair(s): Valarie Jo Bell, Texas Woman's University
8:35 AM Application of Multidimensional Time Model for PDF to Experimental and Statistical Investigations into Statistical Randomness and Normality of Pi Sqrt2 Etc — Michael Fundator, National Academy of Sciences
8:40 AM Biomarker Detection and Categorization in RNA-Seq Meta-Analysis Using Bayesian Hierarchical Model — Tianzhou Ma, Department of Biostatistics, University of Pittsburgh ; Faming Liang, University of Florida ; George Tseng, University of Pittsburgh
8:45 AM Support Points: a New Way to Compact Distributions, with an Application to Optimal MCMC Reduction — Simon Mak, Georgia Institute of Technology ; V. Roshan Joseph, Georgia Institute of Technology
8:50 AM A Bayesian Approach to Dynamic Functional Connectivity in fMRI Data — Ryan Warnick, Rice University ; Marina Vannucci, Rice University ; Michele Guindani, University of California, Irvine ; Erik Erhardt, University of New Mexico ; Elena Allen, Medici Technologies ; Vince Calhoun, University of New Mexico
8:55 AM Heterogeneous Reciprocal Graphical Models — Yang Ni ; Peter Mueller, UT Austin ; Yitan Zhu, NorthShore University HealthSystem ; Yuan Ji, NorthShore University HealthSystem/University of Chicago
9:00 AM A Nonparametric Bayesian Approach to Copula Estimation — Shaoyang Ning ; Neil Shephard, Professor and Chair, Harvard Statistics Department
9:05 AM A Geometric Variational Approach to Bayesian Inference — Abhijoy Saha, Department of Statistics, The Ohio State University ; Karthik Bharath, University of Nottingham ; Sebastian Kurtek, The Ohio State University
9:10 AM Sensitivity Analysis and Emulation for Functional Data Using Bayesian Adaptive Splines — Devin Francom, Lawrence Livermore National Laboratory ; Bruno Sanso, University of California Santa Cruz ; Ana Kupresanin, Lawrence Livermore National Laboratory
9:15 AM A Bayesian Mixture Model for Clustering and Selection of Feature Occurrence Rates Under Mean Constraints — Qiwei Li, Rice University ; Michele Guindani, University of California, Irvine ; Brian Reich, NCSU ; Howard Bondell, NC State University ; Marina Vannucci, Rice University
9:20 AM Semiparametric Bayesian Regression for Multivariate Skewed Responses — Apurva Bhingare
9:30 AM Finding Multiple Outcomes with Similar Linear Models — Tanzy Love, University of Rochester ; Amy LaLonde, University of Rochester
9:35 AM Granger Mediation Analysis of Functional Magnetic Resonance Imaging Time Series — Yi Zhao, Brown University ; Xi Luo, Brown University
9:40 AM Bayesian Methods for Discovering Structure in Neural Spike Trains — Scott Linderman
9:45 AM On some distributional properties of hierarchical processes — Federico Camerlenghi, University of Bologna ; Antonio Lijoi, Bocconi University ; Igor Pruenster, Bocconi University
9:50 AM Bayesian Predictive Synthesis for Probabilistic Forecast Calibration and Combination — Matt Johnson, Duke University ; Mike West, Duke University
9:55 AM Bayesian Estimation and Uncertainty Quantification in Differential Equation Models — Prithwish Bhaumik, Quantifind Inc.
10:00 AM Stagewise Generalized Estimating Equations with Applications to Suicide Prevention — Gregory Vaughan, Department of Statistics, University of Connecticut ; Robert Aseltine, Division of Behavioral Science and Community Health, UConn Health Center ; Kun Chen, Department of Statistics, University of Connecticut ; Jun Yan, University of Connecticut
10:05 AM Failure of Conjugate Priors for MAP Estimation with Unknown Variance — Gemma Moran, Wharton Department of Statistics ; Veronika Rockova, University of Chicago ; Edward I. George, Wharton, University of Pennsylvania
10:10 AM Bayesian Analysis of Time Series with Irregular or Latent Observation Times — Aaron Springford, Queen's University ; David Thomson, Queen's University
10:15 AM Detecting Earthquake Epicenter Temporal Patterns via Dirichlet Process — Meredith Ray, University of Memphis ; Dale Bowman, University of Memphis ; Roy Von Arsdale, University of Memphis ; Hongmei Zhang, University of Memphis
 
 

126 * 		Mon, 7/31/2017, 8:30 AM - 10:20 AM CC-342
Diagnostics, Classification, and Agreement — Contributed Papers
Section on Medical Devices and Diagnostics , Section on Statistics in Imaging
Chair(s): Gene Pennello, Food and Drug Administration
8:35 AM Detection of Prostate Cancer with Multi-Parametric MR Imaging Models Utilizing the Anatomic Structure of the Prostate — Jin Jin, University of Minnesota ; Joseph Koopmeiners, University of Minnesota ; Lin Zhang, University of Minnesota ; Greg Metzger, University of Minnesta ; Ethan Leng, University of Minnesta
8:50 AM Overall Unscaled Indices for Assessing Agreement Among Multiple Raters — Jeong Hoon Jang, Emory University ; Amita Manatunga, Emory University ; Qi Long, University of Pennsylvania
9:05 AM Combining Biomarkers by Maximizing the True Positive Rate for a Fixed False Positive Rate — Allison Meisner, University of Washington ; Marco Carone, University of Washington Department of Biostatistics ; Margaret Pepe, Fred Hutchinson Cancer Research Center ; Katie Kerr, University of Washington Department of Biostatistics
9:20 AM Does Correlation Matter: The Influence of Correlation on Diagnostic Test Performance at the Optimal Point — Beau Nunnally, Air Force Institute of Technology ; Christine M Schubert, Air Force Institute of Technology/ENC ; Katherine A Batterton, Air Force Institute Technology
9:35 AM Sample Size and Confidence Interval Planning for Estimating the Optimal Thresholds in a Sequence of Diagnostic Tests — Christine M Schubert, Air Force Institute of Technology/ENC ; Donna McClish, VCU ; Amber R Wilk, Virginia Commonwealth University
9:50 AM Choosing Between the BP and BN Sequential Strategies — Donna McClish, VCU ; Christine Schubert Kabban, Air Force Institute of Technology ; Amber R Wilk, Virginia Commonwealth University
10:05 AM Evaluating Classification Performance of Biomarkers in Two-Phase Case-Control Studies — Lu Wang, Fred Hutchinson Cancer Research Center ; Ying Huang, Fred Hutchinson Cancer Research Center
 
 

144 ! 		Mon, 7/31/2017, 10:30 AM - 12:20 PM CC-336
Uncover the Essential Truth by Integrating Big and Complex Imaging Data with New Statistical Tools — Invited Papers
SSC , IMS , Section on Statistics in Imaging , Section for Statistical Programmers and Analysts
Organizer(s): Linglong Kong, University of Alberta
Chair(s): Adam Kashlak, Univ of Cambridge
10:35 AM A Bayesian Approach to SENSE Image Reconstruction in fMRI — Daniel B. Rowe, Marquette University
11:00 AM A Hierarchy of Brain Networks Revealed by MVPA Performance Metrics — Stephen Strother, Baycrest & University of Toronto ; Cheryl Grady, Baycrest & University of Toronto
11:25 AM Classification Using the Morlet Transform for fMRI Data — Debashis Ghosh, Colorado School of Public Health ; Manish Dalwani, Colorado School of Medicine
11:50 AM A Potts Mixture Spatiotemporal Joint Model for Combined MEG and EEG Data — Yin Song, University of Victoria ; Farouk Nathoo, University of Victoria
12:15 PM Floor Discussion
 
 

145 * ! 		Mon, 7/31/2017, 10:30 AM - 12:20 PM CC-315
Statistical Methods in Data Integration and Data Harmonization — Invited Papers
ENAR , WNAR , IMS , Section on Statistics in Imaging , Section on Statistics in Genomics and Genetics
Organizer(s): Peter XK Song, University of Michigan,
Chair(s): Peter XK Song, University of Michigan,
10:35 AM Generalized Meta-Analysis: Towards an Unified Paradigm for Model Building Through Integration of Disparate Data Sources — Nilanjan Chatterjee, Johns Hopkins University ; Runlong Tang, Johns Hopkins University ; Prosenjit Kundu, Johns Hopkins University
11:00 AM Meta-Analysis with Extremely Small Number of Studies — Lu Tian, Stanford University ; Minge Xie, Rutgers University ; LJ Wei, Harvard University
11:25 AM Integrating Imaging and Genetic Data for Understanding Neuropsychological Disorders — Heping Zhang, Yale University School of Public Health ; Canhong Wen, Sun Yat-Sen University ; Chintan Mehta, Yale University
11:50 AM Discussant: Ryan Martin, NCSU
12:15 PM Floor Discussion
 
 

150 * 		Mon, 7/31/2017, 10:30 AM - 12:20 PM CC-311
Recent Advances for Modeling Neuroimaging Data — Topic Contributed Papers
Section on Statistics in Imaging , International Chinese Statistical Association , Section on Statistical Learning and Data Science
Organizer(s): Fengqing Zhang, Drexel University
Chair(s): Jiangtao Gou, Hunter College of CUNY
10:35 AM Discovering Linked Dimensions of Psychopathology and Dysconnectivity in High-Dimensional Brain Networks — Theodore Satterthwaite, Univ of Pennsylvania ; Cedric H Xia, UPenn ; Rastko Ciric, University of Pennsylvania ; Zongming Ma, University of Pennsylvania ; Russell Taki Shionhara, UPenn ; Richard Betzel, UPenn ; Monica E Calkins, UPenn ; Phillip A Cook, UPenn ; Angel Garcia de la Garza, UPenn ; Tyler M Moore, UPenn ; David Roalf, University of Pennsylvania ; Kosha Ruparel, University of Pennsylvania ; Daniel H Wolf, UPenn ; Raquel E Gur, University of Pennsylvania ; Ruben C Gur, University of Pennsylvania ; Danielle S Bassett, UPenn
10:55 AM Discovery of Structural Brain Imaging Markers of HIV-Associated Outcomes Using Connectivity-Informed Regularization Approach — Jaroslaw Harezlak, Indiana University School of Public Health ; Damian Brzyski, Indiana University ; Marta Karas, Indiana University ; Joaquin Goni, Purdue University ; Beau Ances, Washington University School of Medicine ; Timothy Randolph, Fred Hutchinson Cancer Research Center
11:15 AM Segmentation of Longitudinal Images Using Total Variation Regulation — Yuan Wang, Washington State University
11:35 AM Computational Learning Methods for Neuroimaging Data Analysis — Don Hong, Middle Tennessee State Univ ; Xin Yang, Southern Arkansas University ; Jingsai Liang, Middle Tennessee State University
11:55 AM An Integrative Model for Assessing Multimodal Neuroimaging Signatures of Post-Traumatic Stress Disorder — Fengqing Zhang, Drexel University ; Xin Niu, Drexel University
12:15 PM Floor Discussion
 
 

154 * ! 		Mon, 7/31/2017, 10:30 AM - 12:20 PM CC-338
Statistical and Imaging Methods in Astronomy and Astrophysics — Topic Contributed Papers
Astrostatistics Special Interest Group , Section on Statistics in Imaging
Organizer(s): Thomas Lee, University of California, Davis
Chair(s): David Jones, SAMSI / Duke
10:35 AM Photometric Classification of Supernova with Biased Training Set — David Van Dyk, Imperial College London ; Roberto Trotta, Imperial College London ; Esben Revsbech, Imperial College London
10:55 AM Fuzzy Boundaries: Regions of Interest in Astronomical Images — Vinay Kashyap, Smithsonian Astrophysical Observatory
11:15 AM Disentangling Stellar Spectra — Jessi Cisewski, Yale University ; Allen Davis, Yale ; Debra Fischer, Yale ; Eric Ford, Penn State ; Xavier Dumusque, Université de Genève
11:35 AM Morphological Analysis of Galaxies — Andreas Zezas, University of Crete / FORTH
11:55 AM Looking for Features in Astronomical Spectra by Testing One Hypothesis Multiple Times — Sara Algeri, Imperial College London
12:15 PM Floor Discussion
 
 

161 		Mon, 7/31/2017, 10:30 AM - 12:20 PM CC-325
SPEED: Nonparametrics and Imaging — Contributed Speed
Section on Nonparametric Statistics , Section on Statistics in Imaging , SSC , IMS
Chair(s): Suzanne Thornton, Rutgers University
10:40 AM Automatic Shape-Constrained Nonparametric Regression — Zhikun Gao, George Washington University ; Huixia Judy Wang, The George Washington University ; Yanlin Tang, School of Mathematical Sciences, Tongji University
10:45 AM Nonparametric Modeling of Heavy-Tailed Distributions with Applications to Extreme Events — Todd Wilson, North Carolina State University ; Sujit K Ghosh, North Carolina State University
10:50 AM Instrument Assisted Partial-Linear Single Index Regression for Errors in Variables Models with Binary Response — Qianqian Wang, University of South Carolina ; Yanyuan Ma, Penn State University ; Guangren Yang, Jinan University ; Xia Cui, Zhongshan University
11:00 AM Estimation of Locally Stationary Spatial Processes with Applications to the American Community Survey — Daniel Weinberg, U.S. Census Bureau ; Tucker McElroy, U. S. Census Bureau ; Soumendra N Lahiri, North Carolina State University
11:05 AM A Comparison of Testing Methods in Scalar-On-Function Regression — Merve Tekbudak, North Carolina State University ; Marcela Alfaro Córdoba, North Carolina State University ; Ana-Maria Staicu, North Carolina State University, Department of Statistics ; Arnab Maity, North Carolina State University
11:10 AM Weighted Quantile Regression Splines using Total Variation Regularization — Jae-Hwan Jhong, Korea University ; Ja-Yong Koo, Korea University
11:20 AM Bayesian Methods for Image Texture Analysis with Applications to Cancer Radiomics — Xiao Li, University of Texas, School of Public Health, Department of Biostatistics ; Michele Guindani, University of California, Irvine ; Chaan Ng, The University of Texas MD Anderson C ; Brian P. Hobbs, The University of Texas MD Anderson Cancer Center
11:30 AM Efficient Multivariate Entropy Estimation Via k-Nearest Neighbour Distances — Thomas Berrett, University of Cambridge
11:35 AM Inference in a Hidden Markov Model with Log-Concave Emission Densities — Nathalie Akakpo, University Pierre and Marie Curie, Paris, France
11:40 AM Enhancing Power of Case-Control Studies by Using Prevalent Cases — Marlena Maziarz, National Cancer Institute ; Jing Qin, National Institute of Allergy and Infectious Diseases ; Ruth Pfeiffer , National Cancer Institute, NIH, HHS
11:45 AM Testing the Adequacy of Linear Mixed Effects Models — Stephanie Chen, North Carolina State University ; Luo Xiao, North Carolina State University ; Ana-Maria Staicu, North Carolina State University, Department of Statistics
11:50 AM Floor Discussion
 
 

183 		Mon, 7/31/2017, 10:30 AM - 11:15 AM CC-Halls A&B
SPEED: Bayesian Methods Student Awards — Contributed Poster Presentations
Section on Bayesian Statistical Science , Mental Health Statistics Section , International Society for Bayesian Analysis (ISBA) , Section on Statistics in Imaging
Chair(s): Jessi Cisewski, Yale University
17: Application of Multidimensional Time Model for PDF to Experimental and Statistical Investigations into Statistical Randomness and Normality of Pi Sqrt2 Etc — Michael Fundator, National Academy of Sciences
18: Biomarker Detection and Categorization in RNA-Seq Meta-Analysis Using Bayesian Hierarchical Model — Tianzhou Ma, Department of Biostatistics, University of Pittsburgh ; Faming Liang, University of Florida ; George Tseng, University of Pittsburgh
19: Support Points: a New Way to Compact Distributions, with an Application to Optimal MCMC Reduction — Simon Mak, Georgia Institute of Technology ; V. Roshan Joseph, Georgia Institute of Technology
20: A Bayesian Approach to Dynamic Functional Connectivity in fMRI Data — Ryan Warnick, Rice University ; Marina Vannucci, Rice University ; Michele Guindani, University of California, Irvine ; Erik Erhardt, University of New Mexico ; Elena Allen, Medici Technologies ; Vince Calhoun, University of New Mexico
21: Heterogeneous Reciprocal Graphical Models — Yang Ni ; Peter Mueller, UT Austin ; Yitan Zhu, NorthShore University HealthSystem ; Yuan Ji, NorthShore University HealthSystem/University of Chicago
22: A Nonparametric Bayesian Approach to Copula Estimation — Shaoyang Ning ; Neil Shephard, Professor and Chair, Harvard Statistics Department
23: A Geometric Variational Approach to Bayesian Inference — Abhijoy Saha, Department of Statistics, The Ohio State University ; Karthik Bharath, University of Nottingham ; Sebastian Kurtek, The Ohio State University
24: Sensitivity Analysis and Emulation for Functional Data Using Bayesian Adaptive Splines — Devin Francom, Lawrence Livermore National Laboratory ; Bruno Sanso, University of California Santa Cruz ; Ana Kupresanin, Lawrence Livermore National Laboratory
25: A Bayesian Mixture Model for Clustering and Selection of Feature Occurrence Rates Under Mean Constraints — Qiwei Li, Rice University ; Michele Guindani, University of California, Irvine ; Brian Reich, NCSU ; Howard Bondell, NC State University ; Marina Vannucci, Rice University
26: Semiparametric Bayesian Regression for Multivariate Skewed Responses — Apurva Bhingare
27: Finding Multiple Outcomes with Similar Linear Models — Tanzy Love, University of Rochester ; Amy LaLonde, University of Rochester
28: Granger Mediation Analysis of Functional Magnetic Resonance Imaging Time Series — Yi Zhao, Brown University ; Xi Luo, Brown University
29: Bayesian Methods for Discovering Structure in Neural Spike Trains — Scott Linderman
30: On some distributional properties of hierarchical processes — Federico Camerlenghi, University of Bologna ; Antonio Lijoi, Bocconi University ; Igor Pruenster, Bocconi University
31: Bayesian Predictive Synthesis for Probabilistic Forecast Calibration and Combination — Matt Johnson, Duke University ; Mike West, Duke University
32: Bayesian Estimation and Uncertainty Quantification in Differential Equation Models — Prithwish Bhaumik, Quantifind Inc.
33: Stagewise Generalized Estimating Equations with Applications to Suicide Prevention — Gregory Vaughan, Department of Statistics, University of Connecticut ; Robert Aseltine, Division of Behavioral Science and Community Health, UConn Health Center ; Kun Chen, Department of Statistics, University of Connecticut ; Jun Yan, University of Connecticut
34: Failure of Conjugate Priors for MAP Estimation with Unknown Variance — Gemma Moran, Wharton Department of Statistics ; Veronika Rockova, University of Chicago ; Edward I. George, Wharton, University of Pennsylvania
35: Bayesian Analysis of Time Series with Irregular or Latent Observation Times — Aaron Springford, Queen's University ; David Thomson, Queen's University
36: Detecting Earthquake Epicenter Temporal Patterns via Dirichlet Process — Meredith Ray, University of Memphis ; Dale Bowman, University of Memphis ; Roy Von Arsdale, University of Memphis ; Hongmei Zhang, University of Memphis
The Speed portion will take place during Session 214516
 
 

202 * ! 		Mon, 7/31/2017, 2:00 PM - 3:50 PM CC-340
New Exploratory Methods and Inference Approaches for Massive Multi-Modal Data with Applications to Brain Imaging — Invited Papers
Section on Statistics in Imaging , ENAR , Biometrics Section
Organizer(s): Hernando Ombao, KAUST and UC Irvine
Chair(s): Hernando Ombao, KAUST and UC Irvine
2:05 PM Structure-Function Coupling in Multimodal Neuroimaging — Russell Shinohara, University of Pennsylvania ; Kristin Linn, University of Pennsylvania ; David Roalf, University of Pennsylvania ; Theodore Satterthwaite, Univ of Pennsylvania ; Simon Vandekar, University of Pennsylvania
2:30 PM A Bayesian Approach for Multi-¬Subject Effective Connectivity Inference Using Multi-¬Modal Neuroimaging Data — Michele Guindani, University of California, Irvine
2:55 PM Beyond Linear Algebra: Analysis of Functional Connectivity with Dense Graph Limit Theory — Peter Diao, SAMSI
3:20 PM A Variance Components Model for Statistical Inference on Functional Connectivity Networks — Mark Fiecas, University of Minnesota
3:45 PM Floor Discussion
 
 

204 * ! 		Mon, 7/31/2017, 2:00 PM - 3:50 PM CC-308
Recent Development in Statistical Methods for Analyzing Big and Complex Neuroimaging Data — Invited Papers
ENAR , Section on Statistics in Imaging , Section on Statistical Learning and Data Science
Organizer(s): Jian Kang, University of Michigan, Yize Zhao, Weill Cornell Medicine, Cornell University
Chair(s): Yize Zhao, Weill Cornell Medicine, Cornell University
2:05 PM Recent Development in Statistical Methods for Analyzing Big and Complex Neuroimaging Data — Ciprian M Crainiceanu, Johns Hopkins University
2:30 PM High-Dimensional Multivariate Mediation with Application to Neuroimaging Data — Martin Lindquist, Johns Hopkins University
2:55 PM Functional Data Modeling of Dynamic PET Data — R. Todd Ogden, Department of Biostatistics, Columbia University ; Yakuan Chen, Columbia University ; Jeff Goldsmith, Columbia University
3:20 PM Functional Regression Models for Nonignorable Missing Scalar Responses — Hongtu Zhu, The University of Texas MD Anderson Cancer Center ; Tengfei Li, MD Anderson
3:45 PM Floor Discussion
 
 

244 		Mon, 7/31/2017, 2:00 PM - 3:50 PM CC-Halls A&B
Contributed Poster Presentations: Section on Medical Devices and Diagnostics — Contributed Poster Presentations
Section on Medical Devices and Diagnostics , Section on Statistics in Imaging
Chair(s): Jessi Cisewski, Yale University
50: Implications for Gamma Characteristic of Reconstructed PET Data — Tian Mou, University College Cork ; Jian Huang, University College Cork ; Finbarr O'Sullivan, University College Cork
51: Impact of Missing Data in Feature Selection — Carmen Khoo
52: An Algorithm for Detecting Melanoma Based on Imaging Biomarkers — Joel Correa da Rosa, Rockefeller University ; Amanda Zong, The Rockefeller University ; Daniel Gareau, The Rockefeller University
53: Quality Control of Blood Sample Analysis for Transplant Patients — Margaret Christy ; Mark Ward, Purdue University ; David Ross, CareDx, Inc. ; Sarah Wang, CareDx, Inc. ; Pazit Sankey, CareDx, Inc. ; Susan Scott, CareDx, Inc.
 
 

252 		Mon, 7/31/2017, 3:05 PM - 3:50 PM CC-Halls A&B
SPEED: Nonparametrics and Imaging — Contributed Poster Presentations
Section on Nonparametric Statistics , Section on Statistics in Imaging , SSC , IMS
Chair(s): Jessi Cisewski, Yale University
2: Automatic Shape-Constrained Nonparametric Regression — Zhikun Gao, George Washington University ; Huixia Judy Wang, The George Washington University ; Yanlin Tang, School of Mathematical Sciences, Tongji University
3: Nonparametric Modeling of Heavy-Tailed Distributions with Applications to Extreme Events — Todd Wilson, North Carolina State University ; Sujit K Ghosh, North Carolina State University
4: Instrument Assisted Partial-Linear Single Index Regression for Errors in Variables Models with Binary Response — Qianqian Wang, University of South Carolina ; Yanyuan Ma, Penn State University ; Guangren Yang, Jinan University ; Xia Cui, Zhongshan University
6: Estimation of Locally Stationary Spatial Processes with Application to the American Community Survey — Daniel Weinberg, U.S. Census Bureau ; Tucker McElroy, U. S. Census Bureau ; Soumendra N Lahiri, North Carolina State University
7: A Comparison of Testing Methods in Scalar-On-Function Regression — Merve Tekbudak, North Carolina State University ; Marcela Alfaro Córdoba, North Carolina State University ; Ana-Maria Staicu, North Carolina State University, Department of Statistics ; Arnab Maity, North Carolina State University
8: Weighted Quantile Regression Splines using Total Variation Regularization — Jae-Hwan Jhong, Korea University ; Ja-Yong Koo, Korea University
10: Bayesian Methods for Image Texture Analysis with Applications to Cancer Radiomics — Xiao Li, University of Texas, School of Public Health, Department of Biostatistics ; Michele Guindani, University of California, Irvine ; Chaan Ng, The University of Texas MD Anderson C ; Brian P. Hobbs, The University of Texas MD Anderson Cancer Center
11: Efficient Multivariate Entropy Estimation Via k-Nearest Neighbour Distances — Thomas Berrett, University of Cambridge
12: Inference in a Hidden Markov Model with Log-Concave Emission Densities — Nathalie Akakpo, University Pierre and Marie Curie, Paris, France
13: Enhancing Power of Case-Control Studies by Using Prevalent Cases — Marlena Maziarz, National Cancer Institute ; Jing Qin, National Institute of Allergy and Infectious Diseases ; Ruth Pfeiffer , National Cancer Institute, NIH, HHS
14: Testing the Adequacy of Linear Mixed Effects Models — Stephanie Chen, North Carolina State University ; Luo Xiao, North Carolina State University ; Ana-Maria Staicu, North Carolina State University, Department of Statistics
The Speed portion will take place during Session 214529
 
 

264 * 		Tue, 8/1/2017, 8:30 AM - 10:20 AM CC-316
Statistical Methods for Novel Imaging Technology — Invited Papers
Section on Statistics in Imaging , Biometrics Section , Statistical and Applied Mathematical Sciences Institute
Organizer(s): Elizabeth M. Sweeney, Flatiron Health
Chair(s): Amanda Mejia, Indiana University
8:35 AM Bayesian Semiparametric Modeling of Near Infra-Red Spectroscopy Data — Timothy D Johnson, University of Michigan
9:00 AM Development of a Multi-Parametric MR Classifier for Prostate Cancer — Joseph Koopmeiners, University of Minnesota ; Jin Jin, University of Minnesota ; Lin Zhang, University of Minnesota ; Ethan Leng, University of Minnesta ; Greg Metzger, University of Minnesta
9:25 AM Structural Image Analysis for Improved Prediction of Patient Outcomes — Ani Eloyan, Brown University
9:50 AM Accounting for Dependent Observations in Multi-Session fMRI Studies of Functional Brain Networks — Manjari Narayan, Stanford University
10:15 AM Floor Discussion
 
 

312 * ! 		Tue, 8/1/2017, 10:30 AM - 12:20 PM CC-338
SAMSI-CCNS: Innovations and Challenges in Computational Neuroscience — Invited Papers
International Indian Statistical Association , Biometrics Section , ENAR , Section on Statistics in Imaging , Section on Statistical Learning and Data Science
Organizer(s): Sujit K. Ghosh, SAMSI
Chair(s): Sujit K Ghosh, North Carolina State University
10:35 AM Population-Based Brain Structural Connectivity Analysis — Hongtu Zhu, The University of Texas MD Anderson Cancer Center ; Anuj Srivastava, Florida State University ; David B. Dunson, Duke University ; Maxime Descoteaux, Université de Sherbrooke ; Zhengwu Zhang, Duke University
11:00 AM Ultra-High-Dimensional Genome-Wide Heritability Analysis with Neuroimaging Phenotypes — Yize Zhao, Weill Cornell Medicine, Cornell University
11:25 AM A New Unified ICA Framework for Decomposing Multimodal Neuroimaging Data — Ying Guo, Emory University ; Subhadip Pal, Emory University ; Jian Kang, University of Michigan
11:50 AM A LAG FUNCTIONAL LINEAR MODEL for PREDICTION of MAGNETIZATION TRANSFER RATIO in MULTIPLE SCLEROSIS LESIONS — Gina-Maria Pomann, Duke University ; Ana-Maria Staicu, North Carolina State University, Department of Statistics ; Edgar Lobaton, North Carolina State University ; Amanda Mejia, Indiana University ; Blake Dewey, NINDS ; Daniel Reich, NINDS ; Elizabeth M. Sweeney, Flatiron Health ; Russell Shinohara, University of Pennsylvania
12:15 PM Floor Discussion
 
 

342 		Tue, 8/1/2017, 10:30 AM - 12:20 PM CC-320
Novel Statistical Testing and Activation-Detection Methods for Imaging Data — Contributed Papers
Section on Statistics in Imaging
Chair(s): Yikai Wang, Emory University
10:35 AM Application of a Global Bayes Factor Detect a Brain Region Activation — Mozhdeh Forghani, University of Northern Colorado ; Khalil Shafie, University of Northern Colorado ; HasniIdayu Saidi, University of Northern Colorado
10:50 AM Inferential Procedures for Dependent Images — Maximillian Chen, Sandia National Laboratories
11:05 AM Improved Activation Detection via Rice-Distributed fMRI Time Series Modeling — Daniel Adrian, Grand Valley State University ; Ranjan Maitra, Iowa State University ; Daniel B. Rowe, Marquette University
11:20 AM Confidence Interval Methods for an Intra-Class Correlation Coefficient: An Application to T1, T2-Mappings in the Heart Using Magnetic Resonance Fingerprinting — Pingfu Fu, Case Western Reserve University ; Shivani Pahwa, Case Western Reserve University ; Seunghee Margevicius, Case Western Reserve University ; Vikas Gulani, Case Western Reserve University
11:35 AM MIMoSA: Method for Inter-Modal Segmentation Analysis — Alessandra Valcarcel, University of Pennsylvania ; Kristin Linn, University of Pennsylvania ; Simon Vandekar, University of Pennsylvania ; Theodore Satterthwaite, Univ of Pennsylvania ; Peter A Calabresi, The Johns Hopkins University ; Russell Taki Shionhara, UPenn
11:50 AM FAST Adaptive Smoothing and Thresholding for Improved Activation Detection in Low-Signal fMRI — Ranjan Maitra, Iowa State University ; Israel Almodovar-Rivera, University of Puerto Rico
12:05 PM Control of False-Positive Rates in Clusterwise fMRI Inferences — Jiangtao Gou, Hunter College of CUNY ; Fengqing Zhang, Drexel University
 
 

347 		Tue, 8/1/2017, 10:30 AM - 12:20 PM CC-Halls A&B
Contributed Poster Presentations: Section on Statistics in Imaging — Contributed Poster Presentations
Section on Statistics in Imaging
Chair(s): Jessi Cisewski, Yale University
1: Illustration of 3D Projective Shape and Kendall Shape Reconstructions from Digital Outputs — Daniel E Osborne, Florida A&M University ; Vic Patrangenaru, Florida State University
2: Construction of ROC Curves for Measurement Error Models as Classifiers — Mengru Zhang, Stony Brook University ; Song Wu, Stony Brook University ; Christine DeLorenzo, Stony Brook University ; Jie Yang, Stony Brook University
4: Image-On-Image Regression: a Spatial Bayesian Latent Factor Model for Predicting Task-Evoked Brain Activity Using Task-Free MRI — Cui Guo, University of Michigan
5: Analysis of Continuous Secondary Phenotypes — Fan Zhou
6: Anatomically Informed Estimation of Functional Brain Networks — Ixavier Higgins, Emory University ; Suprateek Kundu, Emory University, Rollins School of Public Health ; Ying Guo, Emory University
7: A Fully Automatic Method for Comparison of Cartridge Cases — Xiao Hui Tai, Department of Statistics, Carnegie Mellon University ; William F Eddy, Carnegie Mellon University, Department of Statistics
8: Modeling and Estimating the Behavior of Photo-Switching Fluorophores in Super-Resolution — Lekha Patel, Imperial College London ; Edward Cohen, Imperial College London
 
 

378 ! 		Tue, 8/1/2017, 2:00 PM - 3:50 PM CC-309
Statistics in Biosciences Special Invited Papers: Genomics, Metagenomics, and Imaging — Invited Papers
International Chinese Statistical Association , Section on Statistics in Imaging , Section on Statistics in Genomics and Genetics
Organizer(s): Hongzhe Li, University of Pennsylvania
Chair(s): Hongzhe Li, University of Pennsylvania
2:05 PM Some Thoughts on Clustering and Its Applications — Wing Hung Wong, Stanford University
2:30 PM Models for Microbial Community Population Structure — Curtis Huttenhower, Harvard T.H. Chan School of Public Health ; Emma Schwager, Harvard School of Public Health ; Boyu Ren, Harvard T.H. Chan School of Public Health ; Eric A Franzosa, Harvard T.H. Chan School of Public Health
2:55 PM Integrative Association Analysis of Multiple Genomics Platforms — Danyu Lin, University of North Carolina
3:20 PM Bayesian Quantile Functional Regression for Biomedical Imaging Data — Jeffrey S. Morris, The University of Texas M.D. Anderson Cancer Center
3:45 PM Floor Discussion
 
 

399 ! 		Tue, 8/1/2017, 2:00 PM - 3:50 PM CC-315
ASA Statistics in Imaging Section Student Paper Competition — Topic Contributed Papers
Section on Statistics in Imaging
Organizer(s): Lexin Li, University of California at Berkeley
Chair(s): Lexin Li, University of California at Berkeley
2:05 PM Bayesian Low-Rank Graph Regression Models for Mapping Human Connectome Data — Eunjee Lee, University of Michigan ; Hongtu Zhu, The University of Texas MD Anderson Cancer Center ; Joseph G Ibrahim, UNC ; Yong Fan, University of Pennsylvania
2:25 PM A Random Effects Stochastic Block Model for Community Detection in Multiple Networks with Applications to Neuroimaging Studies — Subhadeep Paul, University of Illinois At Urbana Champaign ; Yuguo Chen, University of Illinois at Urbana-Champaign
2:45 PM Evolutionary State-Space Model and Its Application to Time-Frequency Analysis of Local Field Potentials — Xu Gao ; Babak Shahbaba, University of California, Irvine ; Norbert Fortin, University of California, Irvine ; Hernando Ombao, KAUST and UC Irvine
3:05 PM A Bayesian Variable Selection Approach Yields Improved Brain Activation from Complex-Valued fMRI — Cheng-Han Yu, UC Santa Cruz ; Raquel Prado, UC Santa Cruz ; Hernando Ombao, KAUST and UC Irvine ; Daniel B. Rowe, Marquette University
3:25 PM Discussant: Shuo Chen, University of Maryland
3:45 PM Floor Discussion
 
 

214776 		Tue, 8/1/2017, 4:30 PM - 6:00 PM H-Key Ballroom 10
Section on Statistics in Imaging Business Meeting — Other Cmte/Business
Section on Statistics in Imaging
Chair(s): Martin Lindquist, Johns Hopkins University
 
 

214962 		Tue, 8/1/2017, 6:00 PM - 8:00 PM Offsite
Mental Health Statistics Section and Section on Statistics in Imaging Joint Meeting — Other Cmte/Business
Section on Statistics in Imaging , Mental Health Statistics Section
Chair(s): Martin Lindquist, Johns Hopkins University, Elizabeth Stuart, Johns Hopkins University
 
 

479 * ! 		Wed, 8/2/2017, 10:30 AM - 12:20 PM CC-338
Statistical Analysis of Complex Imaging Data — Invited Papers
Section on Nonparametric Statistics , IMS , Section on Statistics in Imaging , ENAR
Organizer(s): Dehan Kong, University of Toronto
Chair(s): Dehan Kong, University of Toronto
10:35 AM JIVE Integration of Behavioral and fMRI Data — J. S. (Steve) Marron, University of North Carolina ; Benjamin Risk, SAMSI, Department of Biostatistics and Bioinformatics, Emory University ; Qunqun Yu, UNC - Statistics & OR
11:00 AM Exploratory and Data Visualization Methods for High-Dimensional Brain Signals — Hernando Ombao, KAUST and UC Irvine ; Yuxiao Wang, University of California, Irvine ; Chee-Ming Ting, KAUST
11:25 AM Am I My Connectome? Fingerprinting with Repeated Resting State Functional MRI Data — Brian Scott Caffo, Johns Hopkins ; Zeyi Wang, Johns Hopkins ; Ciprian M Crainiceanu, Johns Hopkins University ; Martin Lindquist, Johns Hopkins University ; Jim Pekar, Johns Hopkins ; Joshua Vogelstein, Johns Hopkins ; Haris Sair, Johns Hopkins
11:50 AM Statistical Analysis of Registration and Registered Imaging Data — John AD Aston, University of Cambridge ; Eardi Lila, University of Cambridge
12:15 PM Floor Discussion
 
 

514 		Wed, 8/2/2017, 10:30 AM - 12:20 PM CC-339
Recent Advances in Imaging Statistics: Bayesian Methods and Beyond — Contributed Papers
Section on Statistics in Imaging
Chair(s): Andrew Brown, Clemson University
10:35 AM A Study of Some Alternative Statistical Methods for the Characterization of Tumor Risk Based on PET Imaging Data — Eric Wolsztynski, University College Cork ; Tian Mou, University College Cork ; Mark Muzi, UW-Radiology, Neurology & RadOnc ; Finbarr O'Sullivan, University College Cork
10:50 AM Maximum Likelihood Features for Generative Image Models — Lo-Bin Chang, The Ohio State University ; Eran Borenstein, Microsoft Research ; Wei Zhang, Smartleaf, Cambridge ; Stuart Geman, Brown University
11:05 AM Bayesian Spatial Tensor Regression for Neuroimages — Hossein Rekabdarkolaee ; Montserrat Fuentes, Virginia Commonwealth University
11:20 AM Automated Tracking of Neuronal Outgrowth by Markov Chain Monte Carlo — Alvason Li, Fred Hutchinson Cancer Research Center ; Larry Corey, Fred Hutchinson Cancer Research Center ; Jia Zhu, Fred Hutchinson Cancer Research Center
11:35 AM Bayesian Longitudinal Low-Rank Regression Models for Imaging Genetic Data from Longitudinal Studies — Zhaohua Lu, St Jude Children's Research Hospital ; Zakaria Khondke, University of North Carolina at Chapel Hill ; Joseph G Ibrahim, UNC ; Hongtu Zhu, The University of Texas MD Anderson Cancer Center
11:50 AM Experimental Design in Longitudinal MRI for Multiple Sclerosis — Menghan Hu, Brown University ; Ani Eloyan, Brown University ; Matthew Schindler, NIH, NINDS ; Daniel Reich, NINDS ; Russell Taki Shionhara, UPenn ; Blake Dewey, Johns Hopkins Whiting School of Engineering
12:05 PM CUSUM-Based Algorithm for Segmentation of Noisy Images with an Application to Optical Coherence Refractometry — John Lu, NIST ; Jeeseong Hwang, NIST ; Hong Chen, Baruch College, the City University of New York
12:05 PM Floor Discussion
 
 

549 * ! 		Wed, 8/2/2017, 2:00 PM - 3:50 PM CC-309
Recent Development of Statistical Learning Methods for Complex Biomedical Data — Invited Papers
ENAR , Biometrics Section , Section on Statistical Learning and Data Science , Section on Statistics in Imaging
Organizer(s): Wenbin Lu, North Carolina State University
Chair(s): Wenbin Lu, North Carolina State University
2:05 PM Maximum likelihood inference for a large precision matrix — Yunzhang Zhu, Ohio State University ; Xiaotong T Shen, University of Minnesota ; Wei Pan, University of Minnesota
2:30 PM Statistical Modeling of Large-Scale Neural Ensembles — Shizhe Chen, Columbia University ; Ali Shojaie, University of Washington ; Eric Shea-Brown, University of Washington ; Daniela Witten, University of Washington
2:55 PM Optimal Individualized Treatment Strategy with Imaging Covariates — Rui Song, NC State University
3:20 PM Efficient Use of EHR for Comparative Effectiveness Research — Tianxi Cai, Harvard University
3:45 PM Floor Discussion
 
 

557 * 		Wed, 8/2/2017, 2:00 PM - 3:50 PM CC-315
Integrated Statistical Methods for Imaging Genomics and Multimodal Imaging — Invited Papers
Biometrics Section , Section on Statistics in Genomics and Genetics , Section on Statistics in Imaging
Organizer(s): Ani Eloyan, Brown University
Chair(s): Zhijin Wu, Brown University
2:05 PM Bayesian Approaches for Inference on Brain Connectivity Networks — Marina Vannucci, Rice University
2:35 PM Integrating Imaging and Genomics — Arvind Rao, UT MDACC ; Ganesh Rao, UT MDACC ; Veera Baladandayuthapani, University of Texas MD Anderson Cancer Center ; Michael Lehrer, UT MDACC ; Donnie Kim, UT MDACC
3:05 PM Discussant: Ani Eloyan, Brown University
3:35 PM Floor Discussion
 
 

585 		Wed, 8/2/2017, 2:00 PM - 3:50 PM CC-342
Statistical Methods for Studying Brain Connectivity and Networks — Contributed Papers
Section on Statistics in Imaging
Chair(s): Daniel B. Rowe, Marquette University
2:05 PM A Moment Estimator for the GARCH-DCC Model: An Algorithm for Estimating Dynamic Functional Connectivity in High-Dimensional fMRI Data — Yuting Xu, Johns Hopkins Bloomberg SPH ; Martin Lindquist, Johns Hopkins University
2:20 PM Dynamic Functional Connectivity in Nonstationary Task-Related Brain Imaging and Neural Recording Data — Natalie Klein, Carnegie Mellon University ; Robert E. Kass, Carnegie Mellon University ; Valerie Ventura, Carnegie Mellon University ; Jordan Rodu, Carnegie Mellon University
2:35 PM Modeling Multiple Brain Networks Through Linear Mixed Effects Models — Yura Kim, University of Michigan ; Liza Levina, University of Michigan
2:50 PM Spatial Integration of Functional Connectivity Methods in the Default Mode Network of the Brain — Priyangi Bulathsinhala ; Richard Gunst, Southern Methodist University ; Jeffrey Spence, Center for Brain Health, UT Dallas
3:05 PM Longitudinal Independent Component Analysis with Application to fMRI Data — Yikai Wang, Emory University ; Ying Guo, Emory University
3:20 PM Network Classification with Applications to Brain Connectomics — Jesus Daniel Arroyo Relion ; Daniel Kessler, University of Michigan ; Liza Levina, University of Michigan ; Stephan F. Taylor, University of Michigan
3:35 PM Collective Spectral Density Function Estimation and Clustering for Time Series and Spatial Data — Tianbo Chen, King Abdullah University of Science & Technology ; Ying Sun, King Abdullah University of Science and Technology ; Medhi Maadooliat, Marquette University
 
 

635 * ! 		Thu, 8/3/2017, 10:30 AM - 12:20 PM CC-316
Advanced Machine Learning Methods for Large-Scale Imaging Data — Invited Papers
Section on Statistical Learning and Data Science , Section on Statistics in Imaging , Section on Statistics in Genomics and Genetics
Organizer(s): Xuan Bi, Yale University
Chair(s): Xiwei Tang, University of Illinois at Urbana-Champaign
10:35 AM A Statistical Method for Advancing Neuroimaging Genetics — Xuan Bi, Yale University ; Hongtu Zhu, The University of Texas MD Anderson Cancer Center ; Heping Zhang, Yale University School of Public Health
11:00 AM Bayesian Inference for the Directional Brain Network Modeled by High-Dimensional Damped Harmonic Oscillators Using ECoG Data — Tingting Zhang, University of Virginia ; Qiannan Yin, University of Virginia ; Yinge Sun, University of Virginia ; Brian Scott Caffo, Johns Hopkins ; Dana Boatman-Reich, Johns Hopkins University
11:25 AM Convex clustering over an undirected graph — Yunzhang Zhu, Ohio State University ; Vincent Vu, The Ohio State University
11:50 AM Adaptive Testing of SNP-Brain Functional Connectivity Associations Using Modular Network Structures — Wei Pan, University of Minnesota
12:15 PM Floor Discussion
 
 

640 		Thu, 8/3/2017, 10:30 AM - 12:20 PM CC-328
The State-of-the-Art in Modeling and Testing of High-Dimensional Brain Images and Networks — Invited Papers
Section on Statistics in Imaging , ENAR , Section on Nonparametric Statistics
Organizer(s): Russell Shinohara, University of Pennsylvania
Chair(s): Russell Shinohara, University of Pennsylvania
10:35 AM Network-based inference for neuroimaging data — Liza Levina, University of Michigan
10:55 AM Screening Strategies for Reconstructing Brain Connectivity Networks with Multivariate Hawkes Process — Ali Shojaie, University of Washington ; Shizhe Chen, Columbia University ; Daniela Witten, University of Washington
11:15 AM Powerful, Fast, and Robust Family-Wise Error Control for Neuroimaging — Simon Vandekar, University of Pennsylvania ; Theodore Satterthwaite, Univ of Pennsylvania ; Adon Rosen, University of Pennsylvania ; Rastko Ciric, University of Pennsylvania ; David Roalf, University of Pennsylvania ; Kosha Ruparel, University of Pennsylvania ; Ruben C Gur, University of Pennsylvania ; Raquel E Gur, University of Pennsylvania ; Russell Shinohara, University of Pennsylvania
11:35 AM Hypothesis Testing of Matrix Graph Model and Application in Brain Connectivity Analysis — Lexin Li, University of California at Berkeley ; Yin Xia, Fudan University
11:55 AM Two Overlooked Statistical Issues in the Study of Neurodevelopmental Trajectories — Philip Reiss, University of Haifa
12:15 PM Floor Discussion
 
 
 
 
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