Name: 2018 Joint Statistical Meetings
Start: 2018-07-28T07:00:00+00:00
End: 2018-08-02
Location: Vancouver Convention Centre

Keyword Search

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CC = Vancouver Convention Centre F = Fairmont Waterfront Vancouver
* = applied session ! = JSM meeting theme

Keyword Search Criteria: Cluster returned 203 record(s)

Sunday, 07/29/2018

A Novel Bayesian Framework to Probe Closed Box Nature of Galaxy Clusters
Arya Farahi, University of Michigan - Ann Arbor

Addressing Overfitting in Mixtures of Factor Analyzers
Jeffrey L Andrews, University of British Columbia Okanagan

Two Mixture-Based Clustering Approaches: Modeling an Automobile Insurance Portfolio
Tatjana Miljkovic, Miami University; Daniel Fernandez, Victoria University of Wellington

Analysis of Paired Binary Data Subject to Misclassification Using a Random Effect Model
Hua Shen, University of Calgary ; Richard John Cook, University of Waterloo

Mixtures of Contaminated Shifted Asymmetric Laplace Factor Analyzers
Brian C Franczak, MacEwan University

A Model-Based Clustering to Identify Disease-Associated SNPs
Li Xing, University of Victoria; Xuekui Zhang, University of Victoria; Yan Xu, University of Victoria; Weiliang Qiu, Brigham and Women's Hosptial/Harvard Medical School

Spatiotemporal Analysis of Environmental Health Risk
Renjun Ma, University of New Brunswick; Edward Hughes, Edward Hughes Consulting

A Method for Estimating SNP Heritability with Consideration of Variant Correlation and Non-Parametric Relationship
Hsiao-Chi Liao, National Taiwan University; Chuhsing Kate Hsiao, National Taiwan University Institute of Epidemiology and Preventive Medicine

Statistical Learning on Next-Generation Sequencing of T Cell Repertoire Data
Li Zhang, UCSF School of Medicine, UCSF; Tao He, San Francisco State University; Alan Paciorek, University of California, San Franciscornia ; Jason Cham, University of California, San Francisco; David Oh, University of California, San Francisco; Lawrence Fong, University of California, San Francisco

Discrete Principal Component Analysis for Population Stratification
Nedret Billor, Auburn University; Yuan Yuan, Auburn University; Asuman Seda Turkmen, The Ohio State University

Bootstrap and Asymptotic Inference with Multiway Clustering
Matthew Webb, Carleton University; James Gordon MacKinnon, Queen's University; Morten Ø Nielsen, Queen's University and CREATES

A Tight Spectral Clustering Algorithm for Bipartite Networks with Node Covariates
Yidan Sun

Gene Expression-Based Classification of Cancer Tumours via Penalized Probabilistic Principal Components Analysis
Wei Deng, University of Toronto; Radu V Craiu, University of Toronto

Big Data Detectives: Improving Human Health Through Informing Policy
Kristin Linn, University of Pennsylvania; Laura Hatfield, Harvard Medical School; Julian Wolfson, University of Minnesota; Sherri Rose, Harvard Medical School
2:05 PM

Sparse Convex Clustering
Binhuan Wang, New York University School of Medicine; Yilong Zhang, Merck Research Laboratories; Will Wei Sun, University of Miami School of Business Administration; Yixin Fang, New Jersey Institute of Technology
2:05 PM

Cluster-Temporal Models for Disease Surveillance with an Application to Dengue Fever Infection in Taiwan
Pei-Sheng Lin
2:05 PM

Discrete Principal Component Analysis for Population Stratification
Nedret Billor, Auburn University; Yuan Yuan, Auburn University; Asuman Seda Turkmen, The Ohio State University
2:05 PM

Finite Mixture-Of-Gamma Distributions: Estimation, Inference, and Model-Based Clustering
Derek S. Young, University of Kentucky; Xi Chen, University of Kentucky; Dilrukshi Hewage, University of Kentucky; Ricardo N. Poyanco, FONDAP Center for Genome Regulation
2:20 PM

High-Dimensional MCMC Diagnostics with Application to Spatial Text Clustering of Beer Flavours
David Alexander Campbell, Simon Fraser University; Subhash Lele, University of Alberta; Peter Solymos, Alberta Biodiversity Monitoring
2:25 PM

Space and Space-Time Cluster Detection Using the LASSO in Disease Mapping
Ronald Gangnon, University of Wisconsin; Maria Kamenetsky, University of Wisconsin-Madison; Junho Lee, King Abdullah University of Science and Technology; Jun Zhu, University of Wisconsin - Madison
2:25 PM

Mixture Model Modal Clustering
Jose Chacon, Universidad De Extremadura
2:35 PM

Interacting Cluster Point Process Model for Epidermal Nerve Fibers
Guilherme Ludwig, University of Campinas; Nancy Lopes Garcia, University of Campinas; Peter Guttorp, University of Washington / Norwegian Computing Center
2:45 PM

Exploring Clustering Applications in Outlier Detection for Administrative Data Sources
Elizabeth Ayres, Statistics Canada
2:50 PM

Bootstrap and Asymptotic Inference with Multiway Clustering
Matthew Webb, Carleton University; James Gordon MacKinnon, Queen's University; Morten Ø Nielsen, Queen's University and CREATES
3:05 PM

Hierarchical Significance Testing for Gaussian Mixture Clustering
Purvasha Chakravarti, Carnegie Mellon University; Larry Wasserman, Carnegie Mellon University; Sivaraman Balakrishnan, Carnegie Mellon University
3:05 PM

Joint Modeling of Longitudinal Multidimensional Quality of Life Measures in Chronic Dialysis Patients
Sudeshna Paul, Emory University; Mi-Kyung Song, Emory University
3:05 PM

A Model-Based Clustering to Identify Disease-Associated SNPs
Yan Xu, University of Victoria; Xuekui Zhang, University of Victoria; Weiliang Qiu, Brigham and Women's Hosptial/Harvard Medical School
3:20 PM

Dealing with Inaccurate Measures of Size in Two-Stage Probability Proportional to Size Sample Designs: Applications in African Household Surveys
Graham Kalton, Westat; Ismael Flores Cervantes, Westat; Carlos Arieira, Westat; Mike Kwanisai, Westat; Jehun Kim, Westat; Elizabeth Radin, ICAP at Columbia University; Suzue Saito, ICAP at Columbia University; Anindya De, U.S. Centers for Disease Control and Prevention; Stephen McCracken, U.S. Centers for Disease Control and Prevention; Paul Stupp, U.S. Centers for Disease Control and Prevention
3:20 PM

Gene Expression-Based Classification of Cancer Tumours via Penalized Probabilistic Principal Components Analysis
Wei Deng, University of Toronto; Radu V Craiu, University of Toronto
3:35 PM

A Tight Spectral Clustering Algorithm for Bipartite Networks with Node Covariates
Yidan Sun
3:45 PM

Clustering Multiple-View Data: Are Two Clusterings Independent?
Lucy Gao, University of Washington; Jacob Bien, University of Southern California; Daniela Witten, University of Washington
4:05 PM

A Mixture of Matrix Variate Bilinear Factor Analyzers
Paul McNicholas, McMaster University
4:05 PM

Quantification of Interlocking Pentagon Copying
Namhee Kim, Rush University Medical Center; Timothy Truty, Rush University Medical Center; Lisa L Barnes, Rush University Medical Center; David A Bennett, Rush University Medical Center; Melissa Lamar, Rush University Medical Center
4:05 PM

Symptom Clusters as a Visualization and Discovery Tool for Longitudinal Oncological Data
Stephanie Van Der Pas, Leiden University; Marta Fiocco, Leiden University
4:20 PM

Creating a Taxonomy of Statistical Methods Using Text Analysis
Wendy L Martinez, Bureau of Labor Statistics
4:30 PM

Clustering with Topic Models
David Banks, Duke University
4:30 PM

Marginal Analysis of Ordinal Clustered Longitudinal Data with Informative Cluster Size
Aya A Mitani, Boston University ; Elizabeth K Kaye, Boston University; Kerrie P Nelson, Boston University
4:35 PM

Inference and Optimal Design for Longitudinal Cluster-Randomized Clinical Trials Given a Small Number of Clusters with Application to a Serious Mental Illness Intervention Study
CHAE RYON KANG, University of Pittsburgh; DI ZHANG, University of Pittsburgh
4:50 PM

Model Based Clustering via Copula and Applications
Marta Nai Ruscone, LIUC
4:50 PM

Think Before You Cluster: Testing for Clusterability
Naomi Brownstein, Florida State University; Margareta Ackerman, Santa Clara University; Andreas Adolfsson, Santa Clara University; Zachariah Neville, Florida State University
4:55 PM

A Bayesian Approach for Deduplication, Record Linkage, and Inference with Linked Data
brunero liseo, Sapienza Università di Roma; Andrea Tancredi, Sapienza Università di Roma; Rebecca C. Steorts, Duke University
4:55 PM

Identifying and Utilizing Research Topics in Conference Abstracts
Stas Kolenikov, Abt Associates; Alison Thaung, Abt Associates
4:55 PM

Assessing Current Temporal and Space-Time Anomalies of Disease Incidence
Chih-Chieh Wu, National Cheng Kung University; Chien-Hsiun Chen, Academia Sinica; Sanjay Shete, The University of Texas MD Anderson Cancer Center
5:05 PM

Cluster Validation by Measurement of Clustering Characteristics Relevant to the User
Christian Hennig, University College London
5:20 PM

Monday, 07/30/2018

Statistical Challenges in Developing Data-Driven Discovery, Diagnosis, and Treatment of Psychiatric Diseases
Thaddeus Tarpey, Wright State University

Sequential Modeling of Spatial Temporal Image Data
Shufei Ge, Simon Fraser University; Shijia Wang, Simon Fraser University; Liangliang Wang, Simon Fraser University; Farouk Nathoo, University of Victoria

Identification of Contiguous Hours' Climatological Wind Modes Utilizing K-Means Clustering Analysis Combined with the V-Fold Cross-Validation Algorithm
Charles Fisk

A Pair Correlation Function for Non-Stationary Spatial Point Processes Which Depends on Covariates
Zhiji Tang, Florida State University

Model-Based Clustering of Time-Dependent Categorical Sequence
Yingying Zhang, The University of Alabama; Volodymyr Melnykov, University of Alabama

Computing Mean Partition and Assessing Uncertainty for Clustering Analysis
Beomseok Seo, Penn State University; Lin Lin, The Pennsylvania State University; Jia Li, Penn State University

Graph-Based Mixture Model: a Bayesian Approach to Combine Clustering and Hypothesis Testing
Tien Vo, University of Wisconsin - Madison; Vamsi Ithapu, University of Wisconsin - Madison; Vikas Singh, University of Wisconsin - Madison; Michael Newton, University of Wisconsin at Madison

A Generalized Fellegi-Sunter Framework for Unsupervised Collective Record Linkage in Clustered Relational Data with Applications to Electronic Health Records
Nicole Solomon, Duke University Medical Center; Sean M O'Brien, Duke University Medical Center; Joseph Lucas, Duke University

Predictive Big Data Analytics in Mental Disorders Using the UK Biobank
Yiwang Zhou, University of Michigan; Ivo Dinov, Statistics Online Computational Resource, University of Michigan; Simeone Marino, Statistics Online Computational Resource, University of Michigan

Median Regression for Clustered, Interval Censored Data
Piyali Basak, Florida State University; STUART LIPSITZ, HARVARD MEDICAL SCHOOL; Debajyoti Sinha, Florida State University

An Application of Clustering Method on EHR Data Phenotyping and Prediction
Shu Wang, University of Pittsburgh; Joyce Chung-Chou H Chang, University of Pittsburgh; Christopher W. Seymour, University of Pittsburgh; Jason Kennedy, University of Pittsburgh; Zhongying Xu, University of Pittsburgh

Statistics Behind the Skill: Cluster Analysis and Data Visualization on Disc Golf Data
Elijah S Meyer, Montana State University; Jennifer L Green, Montana State University

Determining Whether Mixtures of Environmental Chemicals Are Sufficiently Similar via Dimension-Reduction and Clustering
David Umbach, National Institute of Environmental Health Sciences; Caroll A. Co, Social & Scientific Systems, Inc.; Gregg E Dinse, Social & Scientific Systems, Inc.; Grace E Kissling, National Institute of Environmental Health Sciences; Keith R. Shockley, National Institute of Environmental Health Sciences; Marjo V. Smith, Social & Scientific Systems, Inc.

Classification Accuracy of Unsupervised Learning Methods with Discrete and Mixture Distributed Indicators: a Monte Carlo Simulation Study
Chi Chang

Applying functional data analysis and clustering methods on weather forecast data in the U.S.
Yifan Wu, Simon Fraser University; Ying (Daisy) Yu, Simon Fraser University; Chuyuan (Cherlane) Lin, Simon Fraser University

Coherence-Based Time Series Clustering for Brain Connectivity Visualization
Carolina Euan Campos, KAUST; Ying Sun, KAUST; Hernando Ombao, King Abdullah University of Science and Technology

Power and Sample Size Requirements for GEE Analyzes of Cluster Randomized Crossover Trials
Fan Li, Duke Univeristy; Andrew Forbes, Monash University; Elizabeth L. Turner, Duke Global Health Institutes; John S. Preisser, University of North Carolina at Chapel Hill

Using Multitrajectory Modeling in Latent Class Growth Analysis to Identify Multi-Symptom Trajectories Over Time
Wei Pan, Duke University; Mary C Hooke, University of Minnesota School of Nursing; Cheryl Rodgers, Duke University School of Nursing; Marilyn Hockenberry, Duke University School of Nursing

Efficient Design and Analysis of Cluster Randomized Trials
Hengshi Yu, University of Michigan, Ann Arbor; Fan Li, Duke Univeristy; John A. Gallis, Duke University; Elizabeth L. Turner, Duke Global Health Institutes

A Combinatoric Search for Clustered Levels in Categorical Predictors via Bayesian Model Selection
Thomas Metzger, Virginia Tech; Christopher Franck, Virginia Tech

An Application of Monothetic Clustering to Data with Circular Variables
Tan V Tran, Montana State University; John C Priscu, Montana State University; Mark Greenwood, Montana State University; Marie Sabacká, University of South Bohemia

A Comparison of Modeling Approaches for Stepped-Wedge Cluster Randomized Trials That Include Multilevel Clustering, Confounding by Time, and Effect Modification
Lance Ford, University of Oklahoma Health Sciences Center; Julie A Stoner, University of Oklahoma Health Sciences Center; Daniel Zhao, OU Health Sciences Center; Tabitha Garwe, University of Oklahoma Health Sciences Center; Ann Chou, University of Oklahoma Health Sciences Center; Daniel Duffy, University of Oklahoma-Tulsa

Depth-Based Clustering for Multivariate Time Series with Applications in Wind Energy
Laura L. Tupper, Williams College

Estimation of Change Point in Temporally Evolving Networks
Moulinath Banerjee, University of Michigan; George Michailidis, University of Florida; Monika Bhatacharjee, University of Florida
8:35 AM

Evaluating Nonresponse Weighting Adjustment for the Population-Based HIV Impact Assessments Surveys: On Incorporating Survey Outcomes
Tien-Huan Lin, Westat; Ismael Flores Cervantes, Westat; Suzue Saito, ICAP at Columbia University; Rommel Bain, U.S. Centers for Disease Control and Prevention
9:05 AM

UNIQUE ENTITY ESTIMATION with APPLICATION to the SYRIAN CONFLICT
Beidi Chen, Rice University
9:15 AM

Adjusted T-Test for Data with a Small Number of Clusters
Jia Wang, FDA-CTP; Qian Li, FDA CTP
9:20 AM

Biclustering Algorithm for Biomedical Literature Mining Guided by Prior Information
Jin Hyun Nam; Zhenning Yu, Medical University of South Carolina; Daniel Couch, Medical University of South Carolina; Andrew B Lawson, Medical University of South Carolina ; Dongjun Chung, Medical University of South Carolina
9:20 AM

Fully Nonparametric Methods for Partially Complete Clustered Data
Yue Cui, Department of Statistics
9:35 AM

Pseduolikelihood for Clustered Time-To-Event Outcomes from Complex Surveys
Jing Wang
9:50 AM

A Weighted Dirichlet Process Mixture Modeling for Functional Clustering
Wenyu Gao, Virginia Tech; Inyoung Kim, Virginia Tech
10:35 AM

Supervised Clustering via an Implicit Network for High-Dimensional Data
Brandon Park; Anand N Vidyashankar, George Mason University; Tucker S McElroy, U.S. Census Bureau
11:05 AM

Spatial Clustering Using Spatio-Temporal Network Data
Ashwini Venkatasubramaniam, University of Glasgow; Ludger Evers, University of Glasgow; Konstantinos Ampountolas, University of Glasgow
11:05 AM

Bayesian Estimation Under Informative Sampling with Unattenuated Dependence
Terrance Savitsky, Bureau of Labor Statistics; Matthew Williams, SAMHSA/CBHSQ
11:20 AM

Model-Based Clustering of Nonparametric Weighted Networks with Application to Water Pollution Analysis
Amal Agarwal, Pennsylvania State University; Lingzhou Xue, Penn State University and National Institute of Statistical Sciences
11:20 AM

Coherence-Based Time Series Clustering for Brain Connectivity Visualization
Carolina Euan Campos, KAUST; Ying Sun, KAUST; Hernando Ombao, King Abdullah University of Science and Technology
11:45 AM

Combining Phenotypes, Genotypes, and Genealogies to Fine-Map Trait-Influencing Variants on the Genome
Jinko Graham, Simon Fraser University
11:55 AM

Using Concomitant and Nested Simulation for Tail Risk Measure Estimation
Mingbin Feng, University of Waterloo
11:55 AM

A Combinatoric Search for Clustered Levels in Categorical Predictors via Bayesian Model Selection
Thomas Metzger, Virginia Tech; Christopher Franck, Virginia Tech
12:05 PM

SAME-Clustering: Single-Cell Aggregated Clustering via Mixture Model Ensemble
Ruth Huh, University of North Carolina at Chapel Hill; Yuchen Yang, University of North Carolina at Chapel Hill; Houston Culpepper, University of North Carolina at Chapel Hill; Yun Li, University of North Carolina at Chapel Hill
2:05 PM

Bayesian Space-Time Partitioning by Sampling and Pruning Spanning Trees
Rosangela Loschi, Universidade Federal de Minas Gerais; Leonardo Teixeira, Purdue University; Renato Assunção , Universidade Federal de Minas Gerais
2:05 PM

A Cluster Elastic Net for Multivariate Regression
Ben Sherwood, University of Kansas; Bradley S Price, West Virginia University
2:50 PM

Bayesian Latent Hierarchical Model for Transcriptomic Meta-Analysis to Detect Biomarkers with Clustered Meta-Patterns of Differential Expression Signals
Zhiguang Huo, University of Florida; Chi Song, Ohio State University; George Tseng, University of Pittsburgh
3:05 PM

Cluster Mean Centering in Hierarchical Linear Models
Noa Molshatzki, University of Southern California; Sandrah P. Eckel, University of Southern California
3:20 PM

Recent Advances in Dependent Random Partition Models
Garritt L Page, Brigham Young University; Fernando Quintana, Pontificia Universidad Catolica De Chile
3:25 PM

Tuesday, 07/31/2018

Latent Class Analysis with a Calibrated Conditional Independence Assumption
Joseph Kang, Centers for Disease Control & Prevention; Tandin Dorji, Oak Ridge Institute for Science and Education (ORISE)

Analyzing Longitudinal Clustered Count Data with Zero Inflation: Marginal Regression Modeling with Conway-Maxwell-Poisson Distribution
Tong Kang, University of Florida; Somnath Datta, University of Florida; Steven Levy, University of Iowa

Optimal Sample Size for Cluster Randomized Trials: a Simulation-Based Search Algorithm
Ruoshui Zhai, Brown University; Roee Gutman, Brown University

Using Actor-Partner Interdependence Model (APIM) to Analyze Patient-Sibling Paired Data
Ke Yan, Medical College of Wisconsin; Liyun Zhang, Medical College of Wisconsin; Craig Erker, Cincinnati Children's Hospital Medical Center; Julie Panepinto, Medical College of Wisconsin; Pippa Simpson, Medical College of Wisconsin

Statistical Analysis of Radiomics Data
Samantha Morrison, Brown University; Firas Ahmed, Columbia University; Lin Lu, Columbia University; Constantine Gatsonis, Brown University; Binsheng Zhao, Columbia University

Estimation and Inference for Cluster-Randomized Test-Negative Design Trials
Suzanne M. Dufault, University of California, Berkeley; Nicholas P. Jewell, University of California, Berkeley

Visualizing Lupus Symptom Clusters
Lauren Taylor Washington, Purdue University; Vetria Byrd, Purdue University

Models for Repeated Clustered Data with Informative Cluster Sizes with Applications in Psychiatry
Ana-Maria Iosif, University of California, Davis; Laura M Tully, University of California Davis; Tara A Niendam, University of California Davis

Statistical Methods to Estimate Diagnostic Testing Accuracy of ULTE4 to Determine Aspirin Intolerance in Asthma Using Meta-Analysis Data
Nan Zhang, Mayo Clinic; John Hagan, Mayo Clinic; Matthew Rank, Mayo Clinic; Yu-Hui Chang, Mayo Clinic; Rohit Divekar, Mayo Clinic; Erin O'Brien, Mayo Clinic; Gerald Volcheck, Mayo Clinic; Devyani Lal, Mayo Clinic; Patricia Erwin, Mayo Clinic; Harry Teaford, Mayo Clinic; Hirohito Kita, Mayo Clinic; Tanya Laidlaw, Harvard Medical school; Christina Hagan, Baylor College of Medicine

Consistency of Spectral Clustering in fMRI data
Jessie Moon, FDA

Estimating Causal Effects with Propensity Score in Cluster Sample Surveys
Giovanni Nattino, Ohio State University; Bo Lu, The Ohio State University

A Two-Stage Method to Analyze Multivariate Cluster Biomarkers in Prediction on a Single Binary Outcome
Xiaoying Yu, University of Texas Medical Branch at Galveston; Wenyaw Chan, University of Texas Health Science Center at Houston; Gracie Vargas, University of Texas Medical Branch at Galveston; Rahul Pal, University of Texas Medical Branch at Galveston

Conditional Power Calculation for the Interim Monitoring of Cluster-Randomized Trials with Interval-Censored Endpoints
Kaitlyn Cook, Harvard University; Rui Wang, Harvard Pilgrim HealthCare Institute

Comparison of Group Testing Algorithms for Clustered Data
Ana Best, NIH NCI DCEG Biostatistics Branch; Paul S Albert, National Cancer Institute; Yaakov Malinovsky, University of Maryland Baltimore County Dept. of Mathematics and Statistics

Hybrid Cluster-Individual Randomization Allocation
Yi-Fan Chen, University of Illinois at Chicago; Jonathan Yabes, University of Pittsburgh

Application of a Method for Identifying Disease Subtypes That Are Etiologically Heterogeneous
Emily Zabor, Memorial Sloan Kettering Cancer Center; Colin B Begg, Memorial Sloan Kettering Cancer Center

Efficient Big Data Model Selection with Applications to Fraud Detection
Gregory Vaughan, Bentley University

Model-Based Cluster Analysis and Outlier Detection
Cristina Tortora, San Jose State University; Antonio Punzo, University of Catania
8:35 AM

Assisted Gene Expression-Based Clustering with AWNCut
Yang Li, Renmin University of China; Ruofan Bie, Renmin University of China; Sebastian J Teran Hidalgo, Yale University; Yichen Qin, University of Cincinnati; Mengyunn Wu, Yale University; Shuangge Ma, Yale University
8:50 AM

Cluster-Level Inference Under Element Sampling
Danhyang Lee, Iowa State University; Jae-kwang Kim, Iowa State University; Chris Skinner, London School of Economics and Political Science
8:50 AM

Grouping Trajectories of Unbalanced Longitudinal Data: a Comparison Between Growth Curve Mixture Models and Clustering BLUPs from Mixed Effects Models
Md Hossain, Nemours Biomedical Research, A.I. DuPont Children's Hospital; Benjamin Leiby, Thomas Jefferson University
9:05 AM

Nonparametric Change Point Detection of Periodic Data
Lingzhe Guo, The George Washington University; Reza Modarres, The George Washington University
10:35 AM

A Comparison of Clustering Algorithms Used for Multivariate Stratification of Primary Sampling Units
Thomas Chesnut, U.S. Census Bureau; Padraic Murphy, U.S. Census Bureau
10:35 AM

Hybrid Cluster-Individual Randomization Allocation
Yi-Fan Chen, University of Illinois at Chicago; Jonathan Yabes, University of Pittsburgh
10:45 AM

Analyzing Cosmic Webs Using Geometric Approaches
Yen-Chi Chen, University of Washington
10:55 AM

General and Flexible Methods for Signal Extraction from Single-Cell RNA-Seq Data
Davide Risso, Weill Cornell Medicine
11:00 AM

Estimating Causal Effects with Propensity Score in Cluster Sample Surveys
Giovanni Nattino, Ohio State University; Bo Lu, The Ohio State University
11:35 AM

Efficient Big Data Model Selection with Applications to Fraud Detection
Gregory Vaughan, Bentley University
11:50 AM

Bayesian Inference for the Relationship Between Two Categorical Variables with Covariates for Clustered Data
Dilli Bhatta, University of South Carolina Upstate
11:55 AM

Probabilistic K-Mean with Local Alignment for Functional Motif Discovery
Marzia A Cremona, The Pennsylvania State University; Francesca Chiaromonte, The Pennsylvania State University
2:05 PM

Bayesian Dimension and Variable Selection for Model-Based Clustering
Love Tanzy, University of Rochester Medical Center; Kyra Singh, Google, Inc.
2:05 PM

Bayesian Spatial Clustering with Particle Optimization
Sameer Deshpande, University of Pennsylvania, Wharton Statistics; Cecilia Balocchi, University of Pennsylvania, Wharton Statistics; Shane Jensen, The Wharton School, University of Pennsylvania; Edward George, Wharton, University of Pennsylvania
2:20 PM

Estimating the Receiver Operating Characteristic Curve from Clustered Data and Case-Control Studies
Yalda Zarnegarnia, University of Miami; Shari Messinger, University of Miami
2:20 PM

A Stochastic Second-Order Generalized Estimating Equations Approach for Estimating Association Parameters Under Informative Missingness
Tom Chen; Eric Tchetgen Tchetgen, Harvard University; Rui Wang, Harvard Pilgrim HealthCare Institute
2:45 PM

Assessing Individual and Disseminated Causal Package Effects in Network HIV Treatment and Prevention Trials
Ashley Buchanan, University of Rhode Island; Donna Spiegelman, Harvard T.H. Chan School of Public Health; Sten Vermund, Yale University; Samuel Friedman, National Development and Research Institutes, Inc.; Judith Lok, Harvard T.H. Chan School of Public Health
2:45 PM

A Class of Additive Transformation Models for Recurrent Gap Times
Ling Chen, Washington University in St. Louis; Yanqin Feng, School of Mathematics and Statistics, Wuhan University; (Tony) Jianguo Sun, University of Missouri
2:50 PM

Multi-Level Time Series Clustering for Asset Selection in Allocation Problems
Michael Kotarinos; Christos Tsokos, University of South Florida; Kin Doo Young, Arkansas State University
2:50 PM

Hierarchical Gaussian Processes for Spatially Dependent Model Selection
James Fry, Virginia Tech; Scotland Leman, Virginia Tech
3:35 PM

Wednesday, 08/01/2018

SAME-Clustering: Single-Cell Aggregated Clustering via Mixture Model Ensemble
Ruth Huh, University of North Carolina at Chapel Hill; Yuchen Yang, University of North Carolina at Chapel Hill; Houston Culpepper, University of North Carolina at Chapel Hill; Jin Szatkiewicz, University of North Carolina at Chapel Hill; Yun Li, University of North Carolina at Chapel Hill

Bayesian Hierarchical Modeling of Clustered or Longitudinal RNA Sequencing Experiments
Brian Vestal, National Jewish Health; Camille Moore, National Jewish Health; Katerina Kechris, Colorado School of Public Health; Laura Saba, University of Colorado Anschutz Medical Campus; Tasha Fingerlin, National Jewish Health

Probabilistic Inference of Clonal Gene Expression Through Integration of RNA and DNA-Seq at Single-Cell Resolution
Kieran Campbell, University of British Columbia; Sohrab P Shah, BC Cancer Agency; Alexandre Bouchard-Côté, University of British Columbia

Spatial Proximity Between Bank Branch Closures and Openings: Where Are the New Underserved Banking Areas Located?
Anna Tranfaglia

A Novel Confidence Interval for a Single Proportion in the Presence of Clustered Binary Outcome Data
Meghan Short, Boston University School of Public Health; Joseph M. Massaro, Boston University

Longitudinal Regression Trees: An Application to Environmental Exposure and Growth
Brianna Heggeseth, Macalester College; Anna Neufeld, Williams College

Identifying and Clustering Stable and Dynamic CpG Sites via Bayesian Analysis
Luhang Han, University of Memphis; Hongmei Zhang, University of Memphis; Ebenezer Olusegun George, University of Memphis; Wilfried Karmaus, University of Memphis; Hasan Arshad , University of Southampton; John Holloway, University of Southampton

Variable Selection and Cluster Identification Using Mixture of Regression Trees
Emanuele Mazzola, Dana-Farber Cancer Institute; Mahlet Tadesse, Georgetown University; Giovanni Parmigiani , Harvard T.H. Chan School of Public Health / Dana-Farber Cancer Institute

Sample Size Estimation for Stratified Cluster Randomized Trials with Binary Outcomes
Lee Kennedy-Shaffer, Harvard University; Michael David Hughes, Harvard University

Dirichlet Process Clustering for the Prediction of Housing Prices
Matt Slifko, Virginia Tech; Scotland Leman, Virginia Tech; David Bieri, Virginia Tech

Multi-Frame Sampling Design for WTCHR
Sukhminder Osahan, NYC DOHMH

Supervised Robust Profile Clustering
Briana Stephenson, University of North Carolina at Chapel Hill; Amy H Herring, Duke University Statistical Science; Andrew Olshan, University of North Carolina at Chapel Hill

Supplemental Nutrition Assistance Program (SNAP) Integrity Monitoring
Zhicong Zhao

On the Impact of Empty Clusters in Transgenerational Studies
Glen McGee, Harvard University; Marianthi-Anna Kioumourtzoglou, Columbia University; Marc Weisskopf, Harvard University; Sebastien Haneuse, Harvard T.H. Chan School of Public Health; Brent A. Coull, Harvard TH Chan School of Public Health

A Variational Bayes Approach to Clustered Latent Preference Models for Directed Network Data
Jaron Lee, Australian National University

Prediction of Warranty Returns Based on Modeling Seasonal Recurrent Event Data
Qianqian Shan; William Meeker, Iowa State University
8:35 AM

Supplemental Nutrition Assistance Program (SNAP) Integrity Monitoring
Zhicong Zhao
8:35 AM

A Transformation-Based K-Means Algorithm for Skewed Data
Nicholas S Berry, Iowa State University; Ranjan Maitra, Iowa State University
8:35 AM

Multi-Frame Sampling Design for WTCHR
Sukhminder Osahan, NYC DOHMH
8:40 AM

Spatial Proximity Between Bank Branch Closures and Openings: Where Are the New Underserved Banking Areas Located?
Anna Tranfaglia
8:50 AM

Dirichlet Process Clustering for the Prediction of Housing Prices
Matt Slifko, Virginia Tech; Scotland Leman, Virginia Tech; David Bieri, Virginia Tech
8:50 AM

Generalized Bayesian Factor Analysis for Integrative Clustering with Application to Multi-Modal Omics Data
Eun Jeong Min, University of Pennsylvania; Changgee Chang, University of Pennsylvania; Qi Long, University of Pennsylvania
8:50 AM

ScImpute: Accurate and Robust Imputation for Single Cell RNA-Seq Data
Jingyi Li, University of California, Los Angeles; Wei Li, University of California, Los Angeles
8:55 AM

How Clustered Standard Errors Are Changing Applied Econometrics
James Gordon MacKinnon, Queen's University
9:00 AM

Longitudinal Regression Trees: An Application to Environmental Exposure and Growth
Brianna Heggeseth, Macalester College; Anna Neufeld, Williams College
9:05 AM

Clustering Travel Behavior Time Series Using Topological Data Analysis
Renjie Chen; nalini ravishanker, University of Connecticut; Jingyu Zhang, University of Connecticut; Karthik Konduri, University of Connecticut
9:15 AM

Mitigating the Adverse Impact of Batch Effects in Sample Pattern Detection
Teng Fei, Emory University; Tengjiao Zhang, School of Life Sciences and Technology, Tongji University; Weiyang Shi, School of Life Sciences and Technology, Tongji University; Tianwei Yu, Emory University
9:20 AM

Sample Size Estimation for Stratified Cluster Randomized Trials with Binary Outcomes
Lee Kennedy-Shaffer, Harvard University; Michael David Hughes, Harvard University
9:30 AM

A Novel Confidence Interval for a Single Proportion in the Presence of Clustered Binary Outcome Data
Meghan Short, Boston University School of Public Health; Joseph M. Massaro, Boston University
9:40 AM

A Variational Bayes Approach to Clustered Latent Preference Models for Directed Network Data
Jaron Lee, Australian National University
9:40 AM

Semiparametric Monitoring Test Based on Clustered Data
Jiahua Chen, University of British Columbia; Pengfei Li, University of Waterloo; yukun liu, East China Normal University; Jim Zidek, University of British Columbia
10:35 AM

Learning the Number of Components and Data Clusters in Bayesian Finite Mixture Models
Bettina Grün, Johannes Kepler Universität; Gertraud Malsiner-Walli, Wirtschaftsuniversität Wien; Sylvia Frühwirth-Schnatter, Wirtschaftsuniversität Wien
10:35 AM

Hybridized Threshold Clustering for Massive Data
Jianmei Luo, KANSAS STATE UNIVERSITY; Michael Higgins, KANSAS STATE UNIVERSITY; William Henry Hsu, KANSAS STATE UNIVERSITY; ChandraVyas Annakula, KANSAS STATE UNIVERSITY; Aruna Sai Kannamareddy, KANSAS STATE UNIVERSITY
10:35 AM

Robust Clustering Using Power Posteriors: Calibration and Inference
Jeffrey Miller, Harvard School of Public Health; David B Dunson, Duke University
10:55 AM

Spectral Clustering via Unsupervised Random Forests
William Biscarri, University of Illinois at Urbana-Champaign; Robert J. Brunner, University of Illinois at Urbana-Champaign; Ruoqing Zhu, University of Illinois Urbana-Champaign
11:50 AM

Identification of Management Zone Using a Spatial Clustering Time-Varying Lattice Models
Youngdeok Hwang, Sungkyunkwan University; Huijing Jiang, IBM Research; Rodrigue Ngueyep, IBM Research
11:55 AM

Unsupervised Clustering of Physical Activities and Its Application in Health Studies
Jiawei Bai, Johns Hopkins University; Ciprian Crainiceanu, Johns Hopkins University
2:25 PM

Applications of the Mixturegram for Determining the Number of Components in Finite Mixture Models
Chenlu Ke, University of Kentucky; Derek S. Young, University of Kentucky; Xiaoxue Zeng, Apple. Inc
2:35 PM

Testing for Differentially Expressed Genetic Pathways with Single-Subject N-Of-1 Data in the Presence of Inter-Gene Correlation
Alfred Schissler, University of Nevada, Reno; Walter W Piegorsch, University of Arizona; Yves A Lussier, University of Arizona
2:50 PM

Pre-Masking Procedure for Grouping Variables in Multivariate Data Sets
Anna Oganian, National Center for Health Statistics
3:05 PM

Finding Best Low Dimensional Angles for Visualizing High-Dimensional Data
Yanming Di, Oregon State University; Wanli Zhang, Oregon State University
3:05 PM

Thursday, 08/02/2018

Informing HIV Prevention and Surveillance Efforts Using Large-Scale Molecular Transmission Cluster Inference
Sergei Pond, Temple University; Joel Wertheim, University of California San Diego
8:35 AM

Global Spectral Clustering in Dynamic Networks
David Choi, Carnegie Mellon University; Fuchen Liu, Carnegie Mellon University; Kathryn Roeder, Carnegie Mellon University
8:35 AM

Community Detection with Covariate Information
Yang Feng, Columbia University
8:55 AM

Medication Adherence and Cost Exposure: a Story in Heterogeneity
Rahul Ladhania, Carnegie Mellon University; Amelia M Haviland, Carnegie Mellon University - Heinz College; Neeraj Sood, University of Southern California; Ateev Mehtotra, Harvard Medical School
9:05 AM

Latent Space Approaches to Community Detection in Dynamic Networks
Yuguo Chen, University of Illinois at Urbana-Champaign; Daniel Sewell, University of Iowa
9:15 AM

Clustered-Temporal Bayesian Model for Brain Connectivity in Neuroimaging Data
Nairita Ghosal, University of Illinois at Chicago; Sanjib Basu, University of Illinois at Chicago
9:20 AM

A Mathematical Framework for Uncertainty Quantification in Multimodal Image Analysis via Probabilistic Clustering Models
Maximillian Chen, Sandia National Laboratories; David John Stracuzzi, Sandia National Laboratories; Michael Christopher Darling, Sandia National Laboratories
9:20 AM

Estimating Clusters from Multivariate Binary Data via Hierarchical Bayesian Boolean Matrix Factorization
Zhenke Wu, University of Michigan; Livia Casciola-Rosen, Johns Hopkins University School of Medicine; Antony Rosen, Johns Hopkins University School of Medicine; Scott Zeger, Johns Hopkins Biostatistics
9:20 AM

Heterogeneous Reciprocal Graphical Models
Yang Ni, UT Austin; Peter Müller, University of Texas Austin; Yitan Zhu, NorthShore University HealthSystem; Yuan Ji, NorthShore Univ. HealthSystem / The University of Chicago
9:25 AM

Bayesian Bi-Clustering Methods with Applications to Integrative Genomics and Genetics
Jun Liu, Harvard University; Yang Li, Vatic Labs; Jiexing Wu, Google
9:25 AM

Dynamic Community Detection for Multiple Networks
Sharmodeep Bhattacharyya, Oregon State University; Shirshendu Chatterjee, City University of New York
9:35 AM

Visualizing Clustering and Uncertainty Analysis of Multivariate Time-Series Data
Kristin Divis, Sandia National Laboratories; Maximillian Chen, Sandia National Laboratories; Laura A McNamara, Sandia National Laboratories; Dan Morrow, Sandia National Laboratories
9:35 AM

An Integrated Bayesian Nonparameteric Method for Clustering of High-Dimensional Mixed Data
Chetkar Jha, University of Missouri; Subharup Guha, University of Florida
9:50 AM

Spatial Cluster Detection of Regression Coefficients in a Mixed Effect Model
Junho Lee, King Abdullah University of Science and Technology; Ying Sun, KAUST; Howard Chang, Emory University
10:35 AM

Competing Effects of Indirect Protection and Clustering on the Power of a Cluster-Randomized Controlled Vaccine Trial
Matthew Hitchings, Harvard School of Public Health
10:35 AM

Marginal Structural Models to Estimate the Effects of Time-Varying Treatments on Clustered Outcomes in the Presence of Interference
Alisa Stephens-Shields, University of Pennsylvania; Jiwei He, US Food and Drug Administration; Marshall Joffe, University of Pennsylvania
10:55 AM

Quantile Regression--Based Clustering for Panel Data
Huixia Judy Wang, The George Washington University; Yingying Zhang, Fudan University; Zhongyi Zhu, Fudan University
11:00 AM

IMP: Interference Manipulating Permutations
Michael Baiocchi, Stanford University; Eric Jay Daza, Stanford University
11:00 AM

Interference and Noncompliance in Clustered Randomized Trials for Program Evaluation
Hyunseung Kang, University of Wisconsin - Madison; Luke Keele, Georgetown University
11:50 AM

On the Parameter Estimation and Modeling of Clustered Survival Data with Delayed Entry and Missing Covariates
Hua Shen, University of Calgary
11:55 AM

JSM 2018 Online Program

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