Keyword Search
Legend:
CC = Baltimore Convention Center, H = Hilton Baltimore
* = applied session ! = JSM meeting theme
|
Keyword Search Criteria: cluster returned 142 record(s)
|
|
Sunday, 07/30/2017
|
Clustering Misaligned Dependent Curves
Piercesare Secchi, Politecnico di Milano; Konrad Abramowicz, Umea University; Per Arnqvist, Umea University; Sara Sj¨ostedt de Luna, Umea University; Simone Vantini, Politecnico di Milano; Valeria Vitelli, University of Oslo
2:05 PM
|
Investigating Multiple Imputation in Cluster Randomized Trials
Brittney Bailey, The Ohio State University; Rebecca Andridge, Ohio State University; Abigail Shoben, The Ohio State University
2:35 PM
|
A New Clustered Temporal Point Process Model with Application to Social Media Data
Jingfei Zhang, University of Miami; Yongtao Guan, University of Miami; Hansheng Wang, Peking University; Xuening Zhu, Peking University
2:55 PM
|
Very High Energy Particle-Beam and Gamma Radiation Exposure and Familial Relatedness in Mice
Mark P Little, National Cancer Institute; Pavel Chernyavskiy, National Cancer Institute; Elijah Edmondson, Frederick National Laboratory for Cancer Research; Michael Weil, Colorado State University
3:05 PM
|
Clusering functional data using projections
Aurore Delaigle, University of Melbourne; Peter Hall, University of Melbourne; Tung Pham, University of Melbourne
3:20 PM
|
Characterization of Volatile Compounds in Cowart Muscadine Grape
June Luo
3:20 PM
|
Data Sharing for Validation of High-Throughput Chemical Screening Experiments of Cancer Cell Lines
Hongmei Liu, University of Miami; J. Sunil Rao, University of Miami
3:20 PM
|
A Maximum Likelihood Approach to Power Calculations for Stepped Wedge Designs of Binary Outcomes
Xiaomei Liao, AbbVie; Lauren Kunz, NIH; Sharon-Lise Normand, Harvard Medical School; Donna Spiegelman, Harvard T.H. Chan School of Public Health
4:05 PM
|
Clustering DTI Data to Identify White Matter Fiber Bundles Using a Mixture of Langevin Distribution
Subhadip Pal, University of Louisville
4:45 PM
|
Design and Implementation of a Rapid, Population-Based Survey for the Zika Emergency Response Effort in Puerto Rico
Holly Shulman, CDC; Brian Morrow, CDC; Beatriz Salvesen von Essen Lopez, Puerto Rico Department of Health; Wanda Hernandez Virella, Puerto Rico Department of Health
5:20 PM
|
Evaluation of Brain Activation Changes in Functional Magnetic Resonance Imaging Data Using Cluster Analysis
Arunava Samaddar, University of Georgia
5:35 PM
|
|
Monday, 07/31/2017
|
Gaussian Mixture Models as Automated Particle Classifiers for Fast Neutron Detectors
Brenton Blair, Lawrence Livermore National Laboratory; Ron Wurtz, Lawrence Livermore National Laboratory
|
Model-Based Clustering with Application of Copula for Symbolic Data
Wenhao Pan, University of Georgia; lynne Billard, University of Georgia
|
Identifying clusters of cognitive functioning trajectories in elderly: A comparison of three methodologies
Victor Talisa, Department of Biostatistics, University of Pittsburgh; Tianxiu Wang, University of Pittsburgh; Zhongying Xu, University of Pittsburgh; Joyce Chang, University of Pittsburgh
|
A Study on the Clustering Algorithms for Line Segments
Yoshitomo Akimoto, Chuo University; Toshinari Kamakura, Chuo University
|
Impact of Missing Data in Feature Selection
Carmen Khoo
|
AN ANALYSIS of NETWORK DISCUSSION TRENDS in TWITTER USING HASHTAG CLUSTERS
Elizabeth Tigner, Purdue University ; Jennifer Neville, Purdue University
|
Relative Efficiency of Unequal Versus Equal Cluster Sizes in Cluster Randomized Trials Using Generalized Estimating Equation Models
Esther Lu, Washington University School of Medicine
|
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
|
Heterogeneous Reciprocal Graphical Models
Yang Ni; Peter Mueller, UT Austin; Yitan Zhu, NorthShore University HealthSystem; Yuan Ji, NorthShore University HealthSystem/University of Chicago
|
Finding Multiple Outcomes with Similar Linear Models
Tanzy Love, University of Rochester; Amy LaLonde, University of Rochester
|
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
|
Income and Expenditure in US Households: a Multivariate Analysis of Consumer Expenditure Fmli161 Dataset
Mingzhao Hu, University of Wisconsin - Madison
|
Household Energy Expenditure and Consumption Patterns in the United States
Joyance Meechai
|
Inference in a Hidden Markov Model with Log-Concave Emission Densities
Nathalie Akakpo, University Pierre and Marie Curie, Paris, France
|
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
|
Collaborative Spectral Clustering in Attributed Networks
Xiaodong Jiang; Pengsheng Ji, University of Georgia
|
Constrained Functional Clustering of Arctic Sea Ice Extent Data
Tan Tran, Montana State University; Christopher Barbour, Montana State University; Mark Greenwood, Montana State University
|
How Statistics Is Essential to Business Analytics
Mary Whiteside, University of Texas-Arlington; Mark Eakin, The University of Texas at Arlington
|
Functional Clustering of Elo Ratings for Competitive Balance Analysis in Professional Soccer Leagues
jinglin feng, Pennsylvania State University; Andrew Hwang, Pennsylvania State University
|
Income and Expenditure in US Households: a Multivariate Analysis of Consumer Expenditure Fmli161 Dataset
Mingzhao Hu, University of Wisconsin - Madison
8:35 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
8:40 AM
|
Heterogeneous Reciprocal Graphical Models
Yang Ni; Peter Mueller, UT Austin; Yitan Zhu, NorthShore University HealthSystem; Yuan Ji, NorthShore University HealthSystem/University of Chicago
8:55 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
9:15 AM
|
Finding Multiple Outcomes with Similar Linear Models
Tanzy Love, University of Rochester; Amy LaLonde, University of Rochester
9:30 AM
|
Collaborative Spectral Clustering in Attributed Networks
Xiaodong Jiang; Pengsheng Ji, University of Georgia
9:45 AM
|
Constrained Functional Clustering of Arctic Sea Ice Extent Data
Tan Tran, Montana State University; Christopher Barbour, Montana State University; Mark Greenwood, Montana State University
9:50 AM
|
Cancer Phylogenies and Nonparametric Clustering
Jeffrey Miller, Harvard School of Public Health; Scott Carter, Dana-Farber Cancer Institute
9:55 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
10:15 AM
|
Relative Efficiency of Unequal Versus Equal Cluster Sizes in Cluster Randomized Trials Using Generalized Estimating Equation Models
Esther Lu, Washington University School of Medicine
10:35 AM
|
Model-Based Standardization to Adjust for Unmeasured Cluster-Level Confounders with Complex Survey Data
Babette Brumback, University of Florida; Zhuangyu Cai, Roche
10:35 AM
|
A Comparison of Some Bootstrap Methods for Mixed Model Analysis of Non-Normal Longitudinal Data
Mark Reiser, Arizona State University
10:35 AM
|
Trajectory Analysis for Postoperative Pain Using Electronic Health Records- a Non-Parametric Method with Robust Linear Regression and K-Medians Cluster Analysis
Yingjie Weng, Stanford University School of Medicine; Lu Tian, Stanford University; Karishma Desai, Department of Surgery, Stanford University School of Medicine; Dario Tedesco, Department of Surgery, Stanford University School of Medicine; Wen-wai Yim, Department of Surgery, Stanford University School of Medicine; Steven Asch, Center for Innovation to Implementation, VA Palo Alto Health Care System; Ian Carroll, Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University; Catherine Curtin, Department of Surgery, Stanford University School of Medicine; Kathryn McDonald, Center for Health Policy, Primary Care and Outcomes Research, Stanford University; Tina Hernandez-Boussard, Departments of Medicine, Biomedical Data Science, and Surgery, Stanford University
11:05 AM
|
Inference in a Hidden Markov Model with Log-Concave Emission Densities
Nathalie Akakpo, University Pierre and Marie Curie, Paris, France
11:35 AM
|
Functional Clustering of Elo Ratings in Professional Soccer Leagues
jinglin feng, Pennsylvania State University; Andrew Hwang, Pennsylvania State University
11:40 AM
|
Clustering Functional Databased on Change-Point Models for Electronic Monitoring Data
Chongzhi Di, Fred Hutchinson Cancer Research Center; Yifan Zhu, Fred Hutchinson Cancer Research Center; Ying Qing Chen, Fred Hutchinson Cancer Research Center
11:55 AM
|
How Statistics Is Essential to Business Analytics
Mary Whiteside, University of Texas-Arlington; Mark Eakin, The University of Texas at Arlington
12:00 PM
|
Clustered Binomial Data Analysis by Modified Generalized Estimating Equations
Xuemao Zhang, East Stroudsburg University
2:05 PM
|
A Spatio-Temporal Cluster Process for Modeling Storm Cells
Charmaine Dean, University of Waterloo; Alisha Albert-Green, University of Toronto
2:05 PM
|
Efficient Solution of Large Fixed Effects Problems with Clustered Standard Errors
Thomas Balmat, Duke University; Jerry Reiter, Department of Statistical Science, Duke University
3:05 PM
|
Sampling Late Baby Boomers: Increasing Cluster- and Household-Level Eligibility Rates with External Data
Daniel Guzman, University of Michigan; Richard Valliant, University of Maryland; Sunghee Lee, University of Michigan; Paul Burton, University of Michigan
3:05 PM
|
|
Tuesday, 08/01/2017
|
The Relationship Between Power in Normal and Binomial Outcomes
Wendy Chan, University of Pennsylvania
|
A Conditionally Autoregressive-Spatial Model for Clustered Count Data Controlling for Two Classes of Neighbor Relations
Jason Clague, University of California Los Angeles; Thomas Belin, University of California, Los Angeles; Vivek Shetty, University of California Los Angeles
|
Multivariate Functional Data Clustering with Automatic Variable Selection
Zhongnan Jin; Yili Hong, Virginia Tech; Qingyu Yang, Department of Industrial and Systems Engineering Wayne State University
|
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
|
Nonlinear Mixed-Effects Mixture Models for Clustering Longitudinal Data with an Application
Chongshu Chen, University of Rochester
|
Clustering and Selecting Dysmorphic Features for Association with Developmental Disabilities
Lin Tian, CDC; Nicole F. Dowling, CDC; Stuart K. Shapira, CDC
|
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
|
Bayesian Clustering on Stiefel Manifolds
Ritendranath Mitra; Subhajit Sengupta, NorthShore University Health System; Subhadip Pal, University of Louisville
|
Tradeoffs of a Randomize, Then Consent Approach to Improving Cluster Participation Rates in Cluster Randomize Trials
Abigail Shoben, The Ohio State University
|
Estimation of Rank Correlation for Clustered Data
Bernard Rosner, Harvard Medical School; Robert Glynn, Harvard Medical School
8:35 AM
|
Tradeoffs of a Randomize, Then Consent Approach to Improving Cluster Participation Rates in Cluster Randomize Trials
Abigail Shoben, The Ohio State University
8:35 AM
|
Wilcoxon Rank-Based Tests for Clustered Data with R Package Clusrank
Jun Yan, University of Connecticut; Yujing Jiang, University of Connecticut; Mei-Ling Ting Lee, University of Maryland; Xin He, University of Maryland, College Park; Bernard Rosner, Harvard Medical School
8:55 AM
|
Covariate-Adjusted Aligned Rank-Sum Test for Clustered Data with Informative Intra-Cluster Group Size
Somnath Datta, University of Florida; Sandipan Dutta, Duke University
9:15 AM
|
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
9:30 AM
|
Pearson's Chi-Square Test and Rank Correlation Inferences for Clustered Data
Joanna Shih, National Cancer Institute; Michael Fay, National Institute of Allergy and Infectious Diseases
9:35 AM
|
Clustering and Selecting Dysmorphic Features for Association with Developmental Disabilities
Lin Tian, CDC; Nicole F. Dowling, CDC; Stuart K. Shapira, CDC
9:40 AM
|
Incorporate Clustering Effects for the Wilcoxon Rank Sum Test: The Cluswilcox Command
Xin He, University of Maryland, College Park; Jing Zhang, University of Maryland, College Park; Mei-Ling Ting Lee, University of Maryland; Bernard Rosner, Harvard Medical School
9:55 AM
|
Overlapping clustering with LOVE
Florentina Bunea, Cornell
10:35 AM
|
Nonlinear Mixed-Effects Mixture Models for Clustering Longitudinal Data with an Application
Chongshu Chen, University of Rochester
10:50 AM
|
Spectral Clustering for Dynamic Block Models
Sharmodeep Bhattacharyya, Oregon State University; Shirshendu Chatterjee, City University of New York
10:55 AM
|
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
11:15 AM
|
Limit Theorems for Eigenvectors of the Normalized Laplacian for Random Graphs
Minh Tang, Johns Hopkins University; Carey E Priebe, Johns Hopkins University
11:15 AM
|
Rate-Optimal Perturbation Bounds for Singular Subspaces with Applications to High-Dimensional Data Analysis
Tony Cai, University of Pennsylvania; Anru Zhang, University of Wisconsin-Madison
11:25 AM
|
Analysis of Clustered Complex Design Data: Propensity Score Matching
Mi-Ok Kim, UCSF
11:25 AM
|
Using Historical, Electronic Health Record Data to Bolster a Cluster Randomized Trial of Early Childhood Obesity
Jonathan Schildcrout, Vanderbilt University Medical Center; Aihua Bian, Vanderbilt University Medical Center
11:35 AM
|
Bayesian Clustering and Dimension Reduction in Multivariate Air Pollution Extremes
Sabrina Vettori, King Abdullah University of Science and Technilogy; Raphael Huser, KAUST; Marc G. Genton, KAUST
11:35 AM
|
Multivariate Functional Data Clustering with Automatic Variable Selection
Zhongnan Jin; Yili Hong, Virginia Tech; Qingyu Yang, Department of Industrial and Systems Engineering Wayne State University
11:45 AM
|
Bayesian Clustering on Stiefel Manifolds
Ritendranath Mitra; Subhajit Sengupta, NorthShore University Health System; Subhadip Pal, University of Louisville
11:45 AM
|
Cluster-Enabled Inference for Subgroup Comparison of Copy Number Profiles Using Bayesian Change-Point Models for Profile Characterization
Miranda Lynch, Los Alamos National Laboratory
12:05 PM
|
Control of False-Positive Rates in Clusterwise fMRI Inferences
Jiangtao Gou, Hunter College of CUNY; Fengqing Zhang, Drexel University
12:05 PM
|
Longitudinal Joint Clustering via Dirichlet Process Mixture Model
Hongmei Zhang, University of Memphis; Shengtong Han, University of Chicago; Hasan Arshad, University of Southampton
2:20 PM
|
Number of Cells to Identify a Novel Subpopulation from a Single Cell RNA Sequencing
Kyung In Kim, Jackson Laboratory
2:35 PM
|
Addressing 'Consistent but Fragile:' New Tools for Robust Covariance Matrix Estimation and Outlier Identification
Randal Verbrugge, Federal Reserve Bank of Cleveland; Christian Garciga, Federal Reserve Bank of Cleveland
2:35 PM
|
Bayesian Estimation for the Multivariate Normal Inverse Gaussian Model
YUAN FANG, Binghamton University; Sanjeena Dang, Binghamton University; Dimitris Karlis, Athens University of Economics and Business
2:50 PM
|
Interactive Visualization and Fast Computation of the Solution Path for Convex Clustering and Biclustering
John Nagorski, Rice University; Genevera I. Allen, Rice University
2:55 PM
|
R-Estimation of Covariate Effects and Aligned Rank-Sum Tests for a Group Effect in Clustered Data
Sandipan Dutta, Duke University; Somnath Datta, University of Florida
3:05 PM
|
Transformation Models for Doubly-Censored and Clustered Survival Data
Jane-Ling Wang, University of California, Davis; Cong Xu, Stanford University; Yuru Su, Fred Hutchinson Cancer Research Center
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
|
Dimension Reduction in the Study of Etiologic Heterogeneity
Emily Zabor, Memorial Sloan Kettering Cancer Center; Colin Begg, Memorial Sloan Kettering Cancer Center
3:35 PM
|
Gaussian Mixture Modeling Under Measurement Uncertainty
Shuchismita Sarkar, University of Alabama; Volodymyr Melnykov, The University of Alabama; Rong Zheng, University of Alabama
3:35 PM
|
A Dirichlet Mixture Model for Clustering Droplet-Based Single Cell Transcriptomic Data
Wei Chen, University of Pittsburgh; Zhe Sun, University of Pittsburgh; Ke Deng, Tsinghua University; Ming Hu, Cleveland Clinic
3:35 PM
|
|
Wednesday, 08/02/2017
|
Estimating Principal Casual Effects with Multiple Imputations
Myung Shin Sim, UCLA; Chi-Hong Tseng, UCLA
|
Identification of Sepsis Phenotypes Using Clustering Methods
Zhongying Xu; Hernando Gomez, University of Pittsburgh; Joyce Chang, University of Pittsburgh
|
Clustering Methods for Ordered Categorical Data with Response Style
Mariko Takagishi, Graduate School of Culture and Information Science, Doshisha University; Michel van de Velden, Department of Econometrics, Erasmus School of Economics, Erasmus University Rotterdam; Hiroshi Yadohisa, Department of Culture and Information Science, Doshisha University
|
A Novel Approach to Developing 5-Star Ratings for Home Health Care Systems
Kimberly Ault, RTI International; Laura Smith, RTI International; Harper Gordek, RTI International; Wayne Anderson, RTI International
|
Randomized Multi-Stage Stratified Cluster Sampling Methodology to Estimate Public Transit Fare Compliance
Lori Rothenburg, North Carolina State University; A Blanton Godfrey, North Carolina State University; Brian Hanninen, Evaluation Café
|
Statistical Significance of Clustering
Purvasha Chakravarti, Carnegie Mellon University; Larry Wasserman, Carnegie Mellon; Sivaraman Balakrishnan, Department of Statistics, CMU
|
Randomized Multi-Stage Stratified Cluster Sampling Methodology to Estimate Public Transit Fare Compliance
Lori Rothenburg, North Carolina State University; A Blanton Godfrey, North Carolina State University; Brian Hanninen, Evaluation Café
8:45 AM
|
Comparison of Trend Testing Methods: a Simulation Study with NSDUH Data
Dan Liao, RTI International; Matthew Williams, Substance Abuse and Mental Health Services Administration; Sarra Hedden, Substance Abuse and Mental Health Services Administration; Rachel Harter, RTI International; Jiantong Wang, RTI International; Victoria Scott, RTI International
8:55 AM
|
Advances and Challenges of Single Cell RNA-Seq Data Analysis
Susmita Datta, University of Florida
8:55 AM
|
Clustering Errored Sequence Reads to Estimate Unique Amplicons and Abundance
Karin Dorman, Iowa State University; Xiyu Peng, Iowa State University
8:55 AM
|
Clustering Patients Across Multiple Data Views
Lucy Gao, University of Washington; Jacob Bien, Cornell University; Daniela Witten, University of Washington
9:00 AM
|
Transition Models with Informative Cluster Size and Informative
Joseph Bible, NICHD; Danping Liu, National Institutes of Health; Paul S. Albert, National Cancer Institute/NIH
9:05 AM
|
A Bayesian Lasso Functional Clustering Model
Alejandro Murua, Universite de Montreal; Folly Adjogou, Université de Montréal; Wolfgang Raffelsberger, Institut de Génetique et de Biologie Moléculaire et Cellulaire, Université de Strasbourg
9:15 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
|
ANOVA-Based Clustering to Improve Potency Estimation in Quantitative High-Throughput Screening Data
Shyamal Peddada, NIH/NIEHS; Keith Shockley, NIEHS; Abhishek Kaul, NIEHS; Shuva Gupta, UC Davis; Shawn Harris, SSS; Soumendra N Lahiri, North Carolina State University
9:35 AM
|
A Novel Approach to Developing 5-Star Ratings for Home Health Care Systems
Kimberly Ault, RTI International; Laura Smith, RTI International; Harper Gordek, RTI International; Wayne Anderson, RTI International
9:40 AM
|
Statistical Significance of Clustering
Purvasha Chakravarti, Carnegie Mellon University; Larry Wasserman, Carnegie Mellon; Sivaraman Balakrishnan, Department of Statistics, CMU
9:50 AM
|
Efficient Parallelized K-Means for Clustering Big Data
Geoffrey Thompson, Iowa State University; Ranjan Maitra, Iowa State University
9:55 AM
|
Studying Crime Trends in the United States in the XXI Century
Xuwen Zhu, The University of Louisville; Volodymyr Melnykov, The University of Alabama
10:05 AM
|
Model Selection in Latent Class Analysis
Zhaoyin Zhu, NYU; Yongzhao Shao, New York University School of Medicine
10:50 AM
|
Change Point Estimation in a Dynamic Stochastic Block Model
Monika Bhattacharjee, Informatics Institute, University of Florida; George Michailidis, University of Florida; Moulinath Banerjee, University of Michigan
11:05 AM
|
Construction and Assessment of Generalized Variance Functions for an Establishment Survey
Kevin Roche, U.S. Bureau of Labor Statistics; Julie Gershunskaya, U.S. Bureau of Labor Statistics
11:15 AM
|
Non-Parametric Bayesian Change-Points Methods for Detecting Driving Risk Changes
Qing Li, Univ. of Wisconsin-Madison; Feng Guo, Virginia Tech; Inyoung Kim, Virginia Tech
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
|
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
|
A Review of Weighting Assumptions for Geosampling-Based Survey Designs: a Case Study in Nigeria
Jennifer Unangst, RTI International; Safaa Amer, RTI International
2:05 PM
|
Randomized SUP: a Clustering Algorithm for Large-Scale Data
Shang-Ying Shiu, Department of Statistics, National Taipei University; Ting-Li Chen, Institute of Statistical Sciences, Academia Sinica; Yen-Shiu Chin, Institute of Statistical Sciences, Academia Sinica; Wush Wu, Department of Electrical Engineering, National Taiwan University
2:05 PM
|
Multi Level Clustering Technique Leveraging Expert Insight
Sudhanshu Singh, IBM India Pvt. ltd.; Ritwik Chaudhuri, IBM India Pvt. ltd.; Manu Kuchhal, IBM India Pvt. ltd.; Sarthak Ahuja, IBM India Pvt. ltd.; Gyana Parija, IBM India Pvt. ltd.
2:20 PM
|
Batch Effects Correction with Unknown Subtypes
Xiangyu Luo, The Chinese University of Hong Kong; Yingying Wei, The Chinese University of Hong Kong
2:35 PM
|
Variable Selection in K-Means Clustering
Nicholas Scott Berry, Iowa State University; Ranjan Maitra, Iowa State University
2:35 PM
|
A Semiparametric Random Effects Model for Clustered Competing Risks Data
Sai Dharmarajan, University of Michigan-School of Public Health; Douglas Earl Schaubel, University of Michigan
2:50 PM
|
Bayesian Nonparametric Models for Identification of Differential Genomic Signatures
Chiyu Gu; Subharup Guha, University of Missouri; Veera Baladandayuthapani, University of Texas MD Anderson Cancer Center
2:50 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
|
Topological Probabilistic Classification (TopProC)
Fairul Mohd-Zaid, Air Force Research Lab; Christine Schubert Kabban, Air Force Institute of Technology
3:05 PM
|
Poisson-Kernel Based Clustering on the Sphere: Convergence Properties, Initialization Rules and a Method of Sampling
Mojgan Golzy, State University of New York At Buffalo; Marianthi Markatou, University at buffalo, Department of Biostatistics; Alexander Foss, State University of New York at Buffalo
3:20 PM
|
Accounting for Tumor Purity Improves Cancer Subtype Classification from DNA Methylation Data
Hao Wu, Emory University
3:20 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
3:35 PM
|
|
Thursday, 08/03/2017
|
Using Ranked Set Sampling with Binary Outcomes in Cluster Randomized Designs
Mumu Wang, Southern Methodist University; Xinlei Wang, Southern Methodist University; Johan Lim, Seoul National University
9:15 AM
|
A Bayesian GWAS Method Which Utilizes Haplotype Clusters to Make Predictions When Maternal and Paternal Breed Composition Is Known
Danielle Wilson-Wells, University of Nebraska-Lincoln; Stephen D. Kachman, University of Nebraska-Lincoln
9:35 AM
|
A Bayesian Hierarchical Model for Single-Cell RNA-Sequencing Data Clustering
Yiyi Liu, Yale University; Hongyu Zhao, Yale University
10:35 AM
|
Calculating State Weights for the Consumer Expenditure Survey
Susan King, U.S. Bureau of Labor Statistics
10:50 AM
|
A Latent Trait Clustering Method for Mixed-Mode Data
Yawei Liang, University of South Carolina; David Hitchcock, University of South Carolina
10:50 AM
|
A Novel Algorithm for Clustering of Data on the Unit Sphere via Mixture Models
Hien Nguyen, LA TROBE UNIVERSITY
10:55 AM
|
Spectra-Based Clustering Methods for Visualizing Spatio-Temporal Patterns of Winds and Waves in the Red Sea.
Carolina Euan Campos; Ying Sun, King Abdullah University of Science and Technology
10:55 AM
|
Convex Triclustering
Brian Gaines, North Carolina State University; Eric Chi, North Carolina State University; Will Wei Sun, University of Miami; Hua Zhou, University of California, Los Angeles
10:55 AM
|
Merging K-Means Solutions for Clustering
Semhar Michael, South Dakota State University; Volodymyr Melnykov, The University of Alabama
11:15 AM
|
Efficient Affine Invariant Clustering with Gaussian Models of General Covariance Structures
Hsin-Hsiung Huang, UCF
11:15 AM
|
Convex clustering over an undirected graph
Yunzhang Zhu, Ohio State University ; Vincent Vu, The Ohio State University
11:25 AM
|
Model-Based Clustering of Big Data
Paul McNicholas, McMaster University
11:55 AM
|
Estimation and Comparison of the Area Under the Receiver Operating Characteristic Curve in the Context of Clustered Data
Patrick Hilden; Mithat Gönen, Memorial Sloan Kettering Cancer Center
12:05 PM
|
|
|
