JSM 2017 Online Program

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

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Sunday, 07/30/2017

Sufficient Markov Decision Processes with Alternating Deep Neural Networks
Longshaokan Wang, North Carolina State University; Eric Laber, North Carolina State University; Katie Witkiewitz, University of New Mexico

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
2:05 PM

Network Dependence Testing via Diffusion Maps and Distance-Based Correlations
Youjin Lee, Johns Hopkins Bloomberg School of Public Health; Cencheng Shen, Johns Hopkins University; Joshua Vogelstein, Johns Hopkins
2:05 PM

Network Time Series Modeling
Marina Knight, University of York; Matthew Nunes, Lancaster University; Guy Nason, University of Bristol
2:05 PM

Randomziation and Permutation Tests of Network Structure
Mark M. Fredrickson, University of Illinois at Urbana-Champaign
2:05 PM

Network Cross-Validation by Edge Sampling
Tianxi Li; Liza Levina, University of Michigan; Ji Zhu, University of Michigan
2:20 PM

The Use of Artificial Neural Network in Time Series Forecasting
Taysseer Sharaf, University of Michigan- Dearborn
2:20 PM

On Aggregation of Strongly Dependent Network Flows
Jan Beran, University of Konstanz; Sucharita Ghosh, Swiss Federal Research Institute WSL; Haiyan Liu, University of Leeds
2:25 PM

Composite Likelihood Estimation for Random-Effect Network Models
Yanjun He, University of Washington; Peter Hoff, Duke University
2:35 PM

Network Inference Using Multi-Hub Models
Jirui Wang, George Mason Univ; Yunpeng Zhao, George Mason University
2:50 PM

Bayesian Regression for Undirected Graphs
Wing Yan Yuen, The Chinese University of Hong Kong; Yingying Wei, The Chinese University of Hong Kong
3:05 PM

A Framework for the Online Monitoring and Analysis of Multi-Gigabit Network Streams
Stilian Stoev, University of Michigan; Michalis Kallitsis, Merit Network; George Michailidis, University of Florida; Shrijita Bhattacharya, University of Michigan; Zheng Gao, University of Michigan
3:05 PM

A Hierarchical Model for Network Data in a Latent Hyperbolic Space
Anna Smith; Catherine Calder, The Ohio State University
3:20 PM

Data integration using identification and analysis of a statistical causal network to hypothesize stable pathways through different biological levels
Azam Yazdani, The University of Texas School of Public Health, Houston; Akram Yazdani, Icahn School of Medicine at Mount Sinai
3:35 PM

Estimation of Hepatocellular Cancer Cytokine Networks While Accounting for Biological Heterogeneity Using Bayesian Edge Regression for Undirected Graphs
Zeya Wang, Rice University; Veera Baladandayuthapani, University of Texas MD Anderson Cancer Center; Wenyi Wang, University of Texas MD Anderson Cancer Center; Jeffrey S. Morris, The University of Texas M.D. Anderson Cancer Center
4:20 PM

Estimating Dynamic Brain Functional Networks Using Multi-Subject fMRI Data
Suprateek Kundu, Emory University, Rollins School of Public Health
4:25 PM

Detection of Anomalous Path in a Noisy Network
Shirshendu Chatterjee, City University of New York; Ofer Zeitouni, Weizmann Institute
4:35 PM

Moralization and Interventions for DAG Model Learning
Gunwoong Park, University of Michigan
4:50 PM

Multivariate Gaussian Network Structure Learning
Xingqi Du, North Carolina State University; Subhashis Ghoshal, North Carolina State University
5:05 PM

Towards Identifying and Refining Individual Connectivity Patterns in the Human Brain
Joaquin Goni, Purdue University; Enrico Amico, Purdue 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
5:05 PM

Exploring the Relationship Between Students' Attitudes and Achievement in an Introductory Biostatistics Course
Kaitlin Dio, University of Rhode Island; Natallia V Katenka, University of Rhode Island
5:05 PM

Statistical Inference Problems in Growing Random Graphs
Miklos Z Racz, Microsoft Research
5:20 PM

Monday, 07/31/2017

How to Grow a Successful Statistical Consulting Enterprise
James L Rosenberger, The Pennsylvania State University

Coupling Geometry on Binary Bipartite Networks: Hypotheses Testing on Pattern Geometry and Nestedness
Jiahui Guan, University of California,Davis; Fushing Hsieh, University of California,Davis

Analysis of Adverse Event Relationships in Clinical Trials Using JMP
Anastasia Dmitrienko; Kelci Miclaus, JMP Life Sciences, SAS Institute Inc.; Richard C. Zink, JMP Life Sciences, SAS Institute, Inc.

Differential Network Analysis Based on Next Generation Sequencing Data
Tyler Grimes, University of Florida; Somnath Datta, University of Florida

AN ANALYSIS of NETWORK DISCUSSION TRENDS in TWITTER USING HASHTAG CLUSTERS
Elizabeth Tigner, Purdue University ; Jennifer Neville, Purdue University

CAM2 Network Camera Object Detection Dataset and Analysis
Kent Gauen, Purdue University; Yuxiang Zi, Purdue University; John Laiman, Purdue University; Nirmal Asokan, Purdue University; Yung-Hsiang Lu, Purdue University

Dynamic Latent Factor Modeling of UN Voting Networks
Bomin Kim, Pennsylvania State University; Xiaoyue Niu, Penn State University; David Hunter, The Pennsylvania State University; Xun Cao, The Pennsylvania State University

A Community and Node Attribute-Corrected Stochastic Blockmodel
Kristen M. Altenburger, Stanford University; W. Philip Kegelmeyer, Sandia National Laboratories; Ali Pinar, Sandia National Laboratories; Jeremy D. Wendt, Sandia National Laboratorie; Cliff Anderson-Bergman, Sandia National Laboratories

Efficient causal structure learning in high dimensions
Arjun Sondhi, University of Washington; Ali Shojaie, University of Washington

Varying-Coefficient Models for Dynamic Networks
Jihui Lee, Columbia University; Gen Li, Columbia University; James D. Wilson, University of San Francisco

Deep Learning Econometrics
Guanhao Feng; Nicholas Polson, University of Chicago; Jianeng Xu, University of Chicago

Unexpected Customer Relationship Leads to Doubling Market Share Through Predictive Analytics and Data Mining
Steven Reagan, L&L Products, Inc.

Collaborative Spectral Clustering in Attributed Networks
Xiaodong Jiang; Pengsheng Ji, University of Georgia

Structural Discovery in Temporal Networks
Shaojun Zhang, University of Florida; George Michailidis, University of Florida

Neighborhood Selection with Application to Social Networks
Nana Wang; Wolfgang Polonik, University of California, Davis

Model-Based Community Detection for Networks with Node Covariates
Boang Liu, University of Michigan; Ji Zhu, University of Michigan

Summaries of Networks in Time
Sofia Olhede, UCL
8:35 AM

Inference for Large Networks
Peter Bickel, UC Berkeley; purna sarkar, u. of texas; Soumendu Mukherjee, UC Berkeley
8:35 AM

Uncertainty Quantification for Network Regression
Frank W Marrs, Colorado State University; Bailey Fosdick, Colorado State University; Tyler McCormick, University of Washington
8:35 AM

Oracle Inequalities for the Dynamic Stochastic Block Model and Time-Dependent Graphon
Marianna Pensky, University of Central Florida
9:00 AM

Efficient causal structure learning in high dimensions
Arjun Sondhi, University of Washington; Ali Shojaie, University of Washington
9:05 AM

Identification and Semiparametric Estimation of Causal Effects for Contagious Processes
Elizabeth L Ogburn, Johns Hopkins University
9:15 AM

Varying-Coefficient Models for Dynamic Networks
Jihui Lee, Columbia University; Gen Li, Columbia University; James D. Wilson, University of San Francisco
9:15 AM

The TimeGeo Modeling Framework for Urban Motility Without Travel Surveys
Marta C. Gonzalez, MIT
9:25 AM

Nonparametrics, Network Information and Efficient Estimation
Patrick Wolfe, University College London
9:25 AM

Estimation of Causal Effects in Randomized Trials of Infectious Disease Prevention with General Interference
Nicole Bohme Carnegie, University of Wisconsin-Milwaukee
9:35 AM

Collaborative Spectral Clustering in Attributed Networks
Xiaodong Jiang; Pengsheng Ji, University of Georgia
9:45 AM

The Block Point Process Model for Continuous-Time Event-Based Dynamic Networks
Kevin Shuai Xu, University of Toledo; Ruthwik Junuthula, University of Toledo; Haghdan Maysam, University of Toledo; Devabhaktuni Vijay, University of Toledo
9:50 AM

Structural Discovery in Temporal Networks
Shaojun Zhang, University of Florida; George Michailidis, University of Florida
9:50 AM

Neighborhood Selection with Application to Social Networks
Nana Wang; Wolfgang Polonik, University of California, Davis
10:00 AM

Model-Based Community Detection for Networks with Node Covariates
Boang Liu, University of Michigan; Ji Zhu, University of Michigan
10:15 AM

Nonparametric Bayes Modeling of Populations of Networks
David Dunson, Duke University
10:35 AM

Big Network Modeling and Anomaly Detection for Cyber-Security Applications
Patrick Rubin-Delanchy, University of Oxford
10:35 AM

Exploring Taxi Cab Networks Over Time with a Dynamic Stochastic Block Model
Beau Dabbs, Lawrence Livermore National Laboratory; Giuliana Pallotta, Lawrence Livermore National Laboratory; Goran Konjevod, Lawrence Livermore National Laboratory
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
10:35 AM

Modeling and Estimation of Contagion-Based Social Network Dependence with Time-To-Event Data
Lin Yu, North Carolina State University; Wenbin Lu, North Carolina State University
10:50 AM

Sending Analysis to the Data: Optimizing Information Exchange in the Learning Health Care System
Darren Toh, Harvard Medical School and Harvard Pilgrim Health Care Institute
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
11:00 AM

Estimation of Parameters in a Class of Dynamic Network Models
Wei Zhao, North Carolina State University
11:05 AM

Learning Causal Networks via Additive Faithfulness
Kuang-Yao Lee, Yale University; Tianqi Liu, Yale University; Bing Li, Pennsylvania State University; Hongyu Zhao, Yale University
11:15 AM

Bayesian Inference in Stochastic Reaction Networks
Daniel Linder, Medical College of Georgia - Augusta, GA; Grzegorz Rempala, Mathematical Biosciences Institute, Ohio State University
11:15 AM

Testing and Estimation of Social Network Dependence with Time-To-Event Data
Lin Su, North Carolina State University; Wenbin Lu, North Carolina State University; Rui Song, NC State University; Danyang Huang, Renmin University
11:20 AM

ODE Reconstruction of High-Dimensional Genetic Networks Through Game Theory
Rongling Wu, Pennsylvania State University; Libo Jiang, Beijing Forestry University
11:25 AM

Modeling Computer Network Data Using Markov Modulated Poisson Processes
Mark Briers, Alan Turing Institute
11:25 AM

Dynamic Network Monitoring Using Random Graph Theory and Statistical Process Monitoring
James D. Wilson, University of San Francisco; Nathaniel Stevens, University of San Francisco; William H Woodall, Virginia Tech
11:35 AM

Online Anomaly Detection on Multi-Gigabit Network Streams
Zheng Gao, University of Michigan
11:35 AM

Deep Learning Econometrics
Guanhao Feng; Nicholas Polson, University of Chicago; Jianeng Xu, University of Chicago
11:50 AM

Network Inference from Time Varying Grouped Observations
Yunpeng Zhao, George Mason University
11:50 AM

Unexpected Customer Relationship Leads to Doubling Market Share Through Predictive Analytics and Data Mining
Steven Reagan, L&L Products, Inc.
11:55 AM

Massive Meta-Analysis with Experiments as Instruments: Applications to Peer Effects in Networks
Dean Eckles, MIT; Alexander Peysakhovich, Facebook
2:05 PM

Power to Detect Intervention Effects on Ensembles of Social Networks
Tracy Sweet, University of Maryland
2:05 PM

Multivariate Network Meta-Analysis to Mitigate the Effects of Outcome Reporting Bias
Hyunsoo Hwang, UTHealth SPH; Stacia M DeSantis, UTHealth SPH
2:20 PM

Unbiased Estimation Under Network Interference
Daniel L Sussman, Boston University; Edoardo M. Airoldi, Harvard University
2:30 PM

Exponential Random Graph Models with Big Networks: Maximum Pseudolikelihood Estimation and the Parametric Bootstrap
Christian Schmid, The Pennsylvania State University; Bruce Desmarais, The Pennsylvania State University
2:35 PM

Design of Experiments for Networks with Interference
Alexander Volfovsky, Duke University
2:55 PM

Robust Network-Based Regularization and Variable Selection for High-Dimensional Genomic Data in Cancer Prognosis
Jie Ren, Department of Statistics, Kansas State University; Yinhao Du, Department of Statistics, Kansas State University; Dewey Molenda, Department of Statistics, Kansas State University; Yu Jiang, School of Public Health, University of Memphis; Wu Cen, Department of Statistics, Kansas State University
3:05 PM

A Computational Perspective of Information Propagation in Social Networks
Laks V.S. Lakshmanan, University of British Columbia
3:20 PM

Graph Constrained Regularization for Nonparametric Instrumental Variable Regression in Genetical Genomic Analysis
Bin Gao, Janssen Research & Development, LLC; Yuehua Cui, Michigan State University
3:20 PM

Tuesday, 08/01/2017

GPU-Based Approximate Bayesian Computation Algorithms for Network Reverse-Engineering
Myriam Maumy, Universite de Strasbourg; Frederic Bertrand, University of Strasbourg

Anatomically Informed Estimation of Functional Brain Networks
Ixavier Higgins, Emory University; Suprateek Kundu, Emory University, Rollins School of Public Health; Ying Guo, Emory University

Discussing Missing Data Issues for Two-Mode Social Network Analysis Based on Influence Model
Tingqiao Chen

Survival Analysis on a Social Network
SONG Fangda, The Chinese University of Hong Kong; Yingying Wei, The Chinese University of Hong Kong

Bayesian Inference about the Directional Brain Network Modeled by Damped Harmonic Oscillators for Intracranial EEG Data
Yinge Sun, University of Virginia; Tingting Zhang, University of Virginia; Qiannan Yin, University of Virginia; Brian Scott Caffo, Johns Hopkins; Dana Boatman-Reich, Johns Hopkins University

Social Network Impact on Family Planning Use in Benin
Theresa Y Kim, Maryland Population Research Center; Kimberly A Ashburn, Elizabeth Glaser Pediatric AIDS Foundation; Rebecka I Lundgren, Institute for Reproductive Health, Georgetown University; Susan M Igras, Institute for Reproductive Health, Georgetown University

Dynamic Network Community Discovery
Shiwen Shen; Edsel Aldea Pena, University of South Carolina

Sparse Network Tomography for Anomaly Detection
Elizabeth Hou, University of Michigan; Yason Yilmaz, University of South Florida; Alfred Hero, University of Michigan

Developing a Performance Sustaining Decoder for a Brain Computer Interface Controlled Neuroprosthetic Device
David Friedenberg, Battelle Memorial Institute; Mingming Zhang, Battelle; Michael Schwemmer, Battelle; Nick Annetta, Battelle; Marcia Bockbrader, Center for Neuromodulation, The Ohio State University & Department of Physical Medicine an; Chad Bouton, Battelle (currently at Feinstein Institute for Medical Research); Ali Rezai, Center for Neuromodulation, The Ohio State University; W. Jerry Mysiw, Department of Physical Medicine and Rehabilitation, The Ohio State University ; Herbert Bresler, Battelle; Gaurav Sharma, Battelle

A Network-based Algorithm for Clustering Multivariate Longitudinal Data
Matthew Koslovsky, KBRwyle; Millennia Young, National Aeronautics and Space Administration; Caroline Schaefer, MEI Technologies; John Arellano, MEI Technologies; Al Feiveson, National Aeronautics and Space Administration

An Overview of Network Sampling Methods: On- and Off-Line
Haema Nilakanta, University of Minnesota; Zack Almquist, University of Minnesota

Structured Shrinkage for Network Regression
Peter Hoff, Duke University
8:35 AM

Statistical Methods for Ecological Networks
Catherine Calder, The Ohio State University; Christopher Browning, The Ohio State University
8:35 AM

Process Convolution Approaches for Modeling Interacting Trajectories
Henry Scharf, Colorado State University; Mevin Hooten, Colorado State University; Devin Johnson, NOAA Alaska Fisheries Science Center; John Durban, NOAA Southwest Fisheries Science Center
8:35 AM

Dynamic Network Community Discovery
Shiwen Shen; Edsel Aldea Pena, University of South Carolina
8:55 AM

Using Ego Network Analysis to Analyze ISIL Social Media
Rob Schroeder, Naval Postgraduate School
9:00 AM

Sequential Monte Carlo for Dynamic Latent Space Networks
Kathryn Turnbull, Lancaster University; Matthew Nunes, Lancaster University; Christopher Nemeth, Lancaster University; Tyler McCormick, University of Washington
9:05 AM

Bayesian Inference in the Presence of Intractable Normalizing Functions
Jaewoo Park, Penn State University
9:20 AM

Dynamic Models of Leaders and Factional Networks in Social Media
Iliyan R. Iliev, University of Southern Mississippi
9:25 AM

Network modelling of topological domains using Hi-C data
Rachel Wang; Purnamrita Sarkar, University of Texas, Austin; Oana Ursu, Stanford University; Anshul Kundaje, Stanford University; Peter Bickel, University of California, Berkeley
9:25 AM

Larry Cox's Contributions at the U.S. Centers for Disease Control (CDC) and Prevention, National Center for Health Statistics (NCHS),
Joe Fred Gonzalez, Jr., CDC, National Center for Health Statistics
9:35 AM

Nonlinear Dynamical Spatio-Temporal Models and Their Efficient Estimation
Christopher Wikle, University of Missouri
9:55 AM

Bayesian Neural Networks for High-Dimensional Nonlinear Variable Selection
Faming Liang, University of Florida
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
10:35 AM

Empirical Assessment of Programs to Promote Collaboration: a Network Model Approach
Katherine McLaughlin, Oregon State University; Joshua D. Embree, RAND Corporation
10:35 AM

Foot Traffic Network Analysis on Location-Based Social Media
Yufan Liu, Dun & Bradstreet; Wenhao Pan, University of Georgia
10:35 AM

Harnessing Diverse Data from a Healthcare Systems Network for Early Identification of Pediatric Diabetes
Rebecca Hubbard, University of Pennsylvania; Grace Choi, University of Pennsylvania; Arman Oganisian, University of Pennsylvania; Yong Chen, University of Pennsylvania; Jing Huang, University of Pennsylvania
10:55 AM

Spectral Clustering for Dynamic Block Models
Sharmodeep Bhattacharyya, Oregon State University; Shirshendu Chatterjee, City University of New York
10:55 AM

Causal Structure Learning in High-Dimensional Settings
Preetam Nandy, University of Pennsylvania
11:05 AM

A Bayesian Mixed-Effects Model for Microbiome Data from Designed Experiments
Neal Grantham, North Carolina State University; Brian Reich, NCSU; Kevin Gross, North Carolina State University
11:15 AM

Sparse Network Tomography for Anomaly Detection
Elizabeth Hou, University of Michigan; Yason Yilmaz, University of South Florida; Alfred Hero, University of Michigan
11:20 AM

How to benefit from the professional society
Jiayang Sun, Case Western Reserve University
11:25 AM

Survival Analysis on a Social Network
SONG Fangda, The Chinese University of Hong Kong; Yingying Wei, The Chinese University of Hong Kong
11:35 AM

Estimating a Network from Multiple Noisy Realizations
Can Le, University of California Davis; Liza Levina, University of Michigan
11:55 AM

A Wavelet-Based Nonparametric CUSUM Control Chart for Autocorrelated Processes with Applications to Network Surveillance
Daniel Jeske, University of California, Riverside; Jun Li, University of California, Riverside; Yangmei Zhou, University of California, Riverside
2:05 PM

MaxDiff Adjusted to Items Non-Availability and Network Effects
Stan Lipovetsky, GfK North America; Michael W. Conklin, GfK North America
2:20 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
2:25 PM

Predicting Market Segment Membership Using Deep Learning
Lynd Bacon, LBA Ltd. | Northwestern Univ. | Notre Dame Univ.
2:35 PM

Bivariate Association in Respondent-Driven Sampling Data
Dongah Kim, University of Massachusetts, Amherst; Krista Gile, University of Massachusetts; Honoria Guarino , National Development and Research Institutes, Inc.; Pedro Mateu Gelabert, National Development and Research Institutes, Inc.
2:35 PM

Bayesian Spatial Stream Network Models
Kristin Broms, Colorado State University; Mevin Hooten, Colorado State University; Ryan M. Fitzpatrick, Colorado Parks and Wildlife
2:50 PM

SPC Charts for Monitoring Interpersonal Networks
Marcus Perry, University of Alabama; Curry Hilton, University of Alabama
3:20 PM

Hypothesis Testing for Simultaneous Variable Clustering and Correlation Network Estimation, with Application to Gene Co-Expression Networks
Kevin Lin, Carnegie Mellon University, Statistics Department; Junwei Lu, Princeton University; Han Liu, Princeton University; Kathryn Roeder, Carnegie Mellon University
3:20 PM

Inference from Respondent-Driven Sampling Data: Progress and Challenges
Krista Gile, University of Massachusetts; Miles Ott, Smith College; Isabelle Beaudry, PUC Santiago, Chile
3:20 PM

Sensor-Based Localization of Diffusion Sources on Networks: a Bayesian Approach
Jun Li, Boston University; Juliane Manitz, Boston University; Enrico Bertuzzo, University Cà Foscari Venice; Eric Kolaczyk, Boston University
3:20 PM

Measuring Behavioral Gender Homophily in Co-Authorship Formation
Y. Samuel Wang, Dept of Statistics; Elena Erosheva, University of Washington
3:35 PM

Wednesday, 08/02/2017

Whiteout: Gaussian Adaptive Regularization Noise in Deep Neural Networks
Yinan Li, University of Notre Dame; Ruoyi Xu, University of Science and Technology of China; Fang Liu, University of Notre Dame

Analysis of Familial Aggregation with Complex Survey Data
Cong Wang, George Washington University; Zhaohai Li, George Washington University; Barry I. Graubard, National Cancer Institute

Random Networks, Graphical Models, and Exchangeability
Alessandro Rinaldo, Carnegie Mellon University; Steffen Lilholt Lauritzen, University of Copenhagen; Kayvan Sadeghi, University of Cambridge
8:35 AM

Joint Modeling and Analysis of Microbiome with Other Omics Data
Michael C. Wu, Fred Hutchinson Cancer Research Center
9:00 AM

Community Detection in Multi-Relational Data Through Multi-Layer Stochastic Blockmodel
Yuguo Chen, University of Illinois at Urbana-Champaign
9:00 AM

Attribute-Based Module Detection for the Elucidation of Tissue-Specific Pathways for Oncoimmunology
Han Yu, State University of New York at Buffalo; Rachael Hageman Blair, State University of New York at Buffalo
9:15 AM

An Integrative Statistical Framework for Multi-Modal Omics Data
George Michailidis, University of Florida
9:25 AM

Detecting Cut Constrained Patterns in Networks
James Sharpnack, UC Davis Statistics
9:25 AM

A Latent Space Joint Model for the Analysis of Item Response Data
Ick Hoon Jin; Minjeong Jeon, University of California, Los Angeles
9:35 AM

It's All About the Residuals: Estimating Gene Networks by Leveraging Residual Structure in Multi-Tissue Transcriptomic Data
Matthew McCall, University of Rochester Medical Center
9:35 AM

Analysis of Familial Aggregation with Complex Survey Data
Cong Wang, George Washington University; Zhaohai Li, George Washington University; Barry I. Graubard, National Cancer Institute
10:00 AM

Statistical Data Integration Through Networks
Genevera I. Allen, Rice University
10:35 AM

Implicit Multi-Layer Network for Time Series Data
Brandon Park; Anand N. Vidyashankar, George Mason University; Tucker McElroy, U. S. Census Bureau
10:35 AM

Online Learning for Multi-Class Classification with Applications to Communication Network Traffic Management
Henry Lu, National Chiao Tung University
10:50 AM

Modeling and Simulation of UEFA Champions League
Saman Muthukumarana, University of Manitoba; Ninad Khargonkar, Indian Institute of Technology - Kanpur
11:05 AM

An Empirical Bayes Method to Predict Gene Expression Levels in a Network
Yan Ren, University of Cincinnati; Siva Sivaganesan, University of Cincinnati; Mario Medvedovic , University of Cincinnati
11:20 AM

Fast Precision Matrix Estimation by Partial Correlation Screening
Jiashun Jin, Carnegie Mellon University; Zheng Ke, University of Chicago; Shengming Luo, Carnegie Mellon University
11:25 AM

Combining Multiple Sources of Public Health Surveillance Information with Analytic Methods
howard burkom, Johns Hopkins University Applied Physics Laboratory
11:35 AM

Global Spectral Clustering in Dynamic Gene Co-Expression Networks
Fuchen Liu, Carnegie Mellon University; Kathryn Roeder, Carnegie Mellon University; David Choi, Carnegie Mellon University; Lu Xie, Carnegie Mellon University
11:35 AM

Genome-Wide Study of MiRNA Regulated Gene Expressions Networks in Association with Emphysematous Lung Destruction
Chong Ma, University of South Carolina Columbia; Yen-Yi Ho, University of South Carolina
11:50 AM

Spatio-Temporal Clustering of Urban Traffic Networks
Ashwini Venkatasubramaniam, University of Glasgow; Ludger Evers, University of Glasgow; Konstantinos Ampountolas, University of Glasgow
11:50 AM

Bayesian Variable Selection Over Large Scale Networks via the Thresholded Graph Laplacian Gaussian Prior with Application to Genomics
Qingpo Cai, Emory University-Rollins School of Public Health; Jian Kang, University of Michigan; Tianwei Yu, Emory University
11:55 AM

Identification of Dynamic Traffic Network: a Statistical Approach
Xilei Zhao, Johns Hopkins University; James C Spall, Applied Physics Laboratory
12:05 PM

Latent Space Models for Dynamic Bipartite Social Networks
Adrian E. Raftery, University of Washington
2:05 PM

Bayesian Approaches for Inference on Brain Connectivity Networks
Marina Vannucci, Rice University
2:05 PM

Network Assortativity of Physicians Who Account for Extreme Amounts of Medicare Spending
James O'Malley, Geisel School of Medicine at Dartmouth; Thomas Bubolz, Geisel School of Medicine at Dartmouth; Jonathan Skinner, Geisel School of Medicine at Dartmouth
2:25 PM

Predicting Solar Irradiance as a Function of Location and Time: Multiple Model Calibration, Non-Stationarity, and Non-Space-Filling Design
Benjamin Haaland, Georgia Institute of Technology
2:25 PM

Minimax Rates of Community Detection in Stochastic Block Models
Harrison H. Zhou, Yale University; Anderson Zhang, Yale University
2:30 PM

Spatial Temporal Exponential-Family Point Process Models for the Evolution of Social Systems
Mark Stephen Handcock, University of California - Los Angeles; Joshua D. Embree, RAND Corporation
2:30 PM

Latent Space Stochastic Block Model for Social Networks
Tin Lok James Ng, University College Dublin; Thomas Brendan Murphy, University College Dublin; Tyler McCormick, University of Washington; Bailey Fosdick, Colorado State University; Ted Westling, University of Washington
2:55 PM

Longitudinal Independent Component Analysis with Application to fMRI Data
Yikai Wang, Emory University; Ying Guo, Emory University
3:05 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
3:20 PM

Thursday, 08/03/2017

Quantifying the Influence of Tourism on 19th Century American Landscape Painting Using Galois Lattices of Affiliation Networks
Roger Bilisoly, Central Connecticut State University
8:35 AM

Robust Network Meta-Analysis: a Confidence Distribution Approach
Dungang Liu, University of Cincinnati; Guang Yang, Jet.com; Minge Xie, Rutgers University
8:35 AM

Cyber-Security: a Stochastic Predictive Model to Determine Overall Network Security Risk Using Markovian Process
Nawa Raj Pokhrel
8:50 AM

A Robust Pseudolikelihood-Based Inference of Personalized Utility Functions Through Multiple Outcomes Network Meta-Analysis
Yong Chen, University of Pennsylvania; Rui Duan, University of Pennsylvania
8:55 AM

Granger Causality Networks for Categorical Time Series: Convex Mixture Transition Distribution
Alex Tank, University of Washington; Ali Shojaie, University of Washington; Emily Fox, University of Washington
9:00 AM

Breaking the Myth of Breaking Randomization: a Causal Examination of Arm-Based Meta-Analysis
Russell Steele, McGill University; Mireille Schnitzer, Université de Montréal; Ian Shrier, Lady Davis Institute and McGill University
9:15 AM

Hierarchical Models for Combining N-Of-1 Trials
Youdan Wang
9:35 AM

Matched Bipartite Community Detection with Node Covariates
Jingyi Li, UCLA; Zahra S. Razaee, UCLA; Arash A. Amini, UCLA
9:35 AM

Detection and Estimation of Oscillatory Components in Power Networks
Charlotte Haley, Argonne National Laboratory; Christopher Geoga, Argonne National Laboratory; Mihai Anitescu, Argonne National Laboratory
9:50 AM

Nonparametric Conditional Graphical Models with High-Dimensional Predictors
Yi Li, University of Michigan
9:55 AM

Dynamic Text Networks: An Application to Political Blogs
David Banks, Duke University
10:35 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
10:55 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
11:00 AM

Challenges in Network Sampling: Open Problems and Some Progress
Eric Kolaczyk, Boston University
11:05 AM

Inference and Analysis on Social Networks from Newswire Content
William Campbell, MIT Lincoln Laboratory; Lin Li, MIT Lincoln Laboratory; Joel Acevedo-Aviles, MIT Lincoln Laboratory
11:05 AM

Accounting for the Sampling Scheme in Network Modeling
Harry Crane, Rutgers University; Walter Dempsey, University of Michigan
11:35 AM

Supervised Community Detection in Dark Networks
Yulia R. Gel, University of Texas at Dallas; Yahui Tian, University of Texas at Dallas
11:35 AM

Real-Time Earthquake Detection Using Smartphones. Your Smartphone
Francesco Finazzi, Università di Bergamo; Alessandro Fassò, University of Bergamo
11:35 AM

Adaptive Testing of SNP-Brain Functional Connectivity Associations Using Modular Network Structures
Wei Pan, University of Minnesota
11:50 AM

JSM 2017 Online Program

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