JSM 2016 Online Program

Keyword Search

Sessions Were Renumbered as of May 19.

Legend:
CC-W = McCormick Place Convention Center, West Building,   CC-N = McCormick Place Convention Center, North Building
H = Hilton Chicago,   UC= Conference Chicago at University Center
* = applied session       ! = JSM meeting theme

Keyword Search Criteria: Network returned 170 record(s)

Sunday, 07/31/2016

A Mixed-Effects Modeling Approach to Study the Impact of Pesticides on Farmworkers' Brain Networks Using RS-fMRI Data
Mohsen Bahrami, Virginia Tech; Paul Laurienti, Wake Forest School of Medicine; Thomas Arcury, Wake Forest School of Medicine; Sean Simpson, Wake Forest School of Medicine

Geometric Methods for Network Comparison and Multilevel Modeling
Anna Smith, The Ohio State University; Catherine Calder, The Ohio State University

Mixed-Effects Models for Resampled Network Statistics Improve Statistical Power to Find Differences in Functional Brain Connectivity
Manjari Narayan, Rice University; Genevera Allen, Rice University

We Are What We Ask: Mapping the Ecosystem of Software Development Using Stack Overflow Data
David G. Robinson, Stack Overflow

Network-Based Analysis of Multidimensional Cancer Omics Data
Shuangge Ma, Yale University
2:30 PM

Network Dynamics of Network Interventions: A Multilevel Network Analysis
Weihua An, Indiana University
2:45 PM

Flexible Spectral Methods for Community Detection in Networks
Pengsheng Ji, University of Georgia
2:50 PM

Estimating the Population Mean Network from a Random Sample of Networks
Daniel Sussman, Harvard
2:55 PM

Estimating High-Dimensional Multi-Layered Networks Through Penalized Maximum Likelihood
George Michailidis, University of Florida
3:05 PM

Using the Geomnet Package: Visualizing African Slave Trade, 1514--1866
Samantha Tyner, Iowa State University
3:05 PM

Co-Clustering of Nonsmooth Graphons
David Sungjun Choi, Carnegie Mellon University
3:20 PM

Using L_1 Data Depth Unsupervised Classifier for Detecting Communities in Networks
Yahui Tian; Yulia R. Gel, The University of Texas at Dallas
4:05 PM

Identification of Marginal Causal Relationships in Gene Networks from Observational and Interventional Expression Data
Andrea Rau, INRA; Gilles Monneret, INRA/Universite Pierre et Marie Curie; Florence Jaffrezic, INRA; Gregory Nuel, Universite Pierre et Marie Curie
4:05 PM

On the Sensitivity Analysis for Bayesian Network Meta-Analysis
Haoda Fu
4:05 PM

Learning Large-Scale DAG Models Using Overdispersion
Gunwoong Park, University of Wisconsin - Madison
4:20 PM

Network Meta-Analysis for Ordinal Outcomes: An Application in Comparing Crohn's Disease Treatments
May Mo, Amgen; Yeongjin Gwon, University of Connecticut; Ming-Hui Chen, University of Connecticut; Amy Xia, Amgen; Juan Li, Amgen; Joseph G. Ibrahim, The University of North Carolina at Chapel Hill
4:25 PM

Dynamic Network Analysis in Resting-State fMRI for Alzheimer's Disease
Eric D. Kolaczyk, Boston University; Heather Shappell, Boston University; Yorghos Tripodis, Boston University; Ron Killiany, Boston University
4:30 PM

Exploiting Biology's Structure: Function Relationship to Improve Network Modeling in Neuroimaging
Barbara Wendelberger, University of Wisconsin - Madison; M. Elizabeth Meyerand, University of Wisconsin - Madison
4:35 PM

XTalk: A Path-Based Approach for Identifying Crosstalk Between Signaling Pathways
Allison Tegge; T. M. Murali, Virginia Tech; Nicholas Sharp, Virginia Tech
4:35 PM

Bayesian Dynamic Modeling and Analysis of Streaming Network Data
Xi Chen, Duke University; Kaoru Irie, Duke University; David Banks, Duke University; Robert Haslinger, MaxPoint; Jewell Thomas, MaxPoint; Mike West, Duke University
4:45 PM

Prestige in Latent Social Space
Gary Oehlert, University of Minnesota
4:45 PM

Incorporation of Individual Patient Data in Network Meta-Analysis for Multiple Continuous Endpoints, with Application to Diabetes Treatment
Hwanhee Hong, Johns Hopkins Bloomberg School of Public Health; Haoda Fu; Karen Price, Eli Lilly and Company; Bradley Carlin, University of Minnesota
4:45 PM

Joint Multilevel Gaussian Graphical Model
Liang Shan; Inyoung Kim, Virginia Tech
4:50 PM

Overlapping Community Detection in Networks via Sparse Principal Component Analysis
Jesus Daniel Arroyo Relion, University of Michigan; Elizaveta Levina, University of Michigan
4:50 PM

Network Meta-Analysis for Missing Binary Outcomes from Part of the Network
Cindy Lu, Bayer HealthCare Pharmaceuticals; Robert Wan, AstraZeneca
5:05 PM

Detecting Association to Precision Networks via Conditional Multi-Type Graphical Models
Yanming Li, University of Michigan; Kevin He, University of Michigan; Jian Kang, University of Michigan; Hyokyoung (Grace) Hong, Michigan State University; Ji Zhu, University of Michigan; Yi Li, University of Michigan
5:20 PM

Use of Informative Prior Information in Network Meta-Analysis of Rare Adverse Events
David Ohlssen, Novartis
5:25 PM

Network Analysis for Gene Signaling Pathways
Samir Lababidi, FDA; Taxiarchis Botsis, FDA
5:35 PM

Bayesian Networks--Based Usable Access Control
Anna Valeva, Western Illinois University; Binto George, Western Illinois University
5:35 PM

Monday, 08/01/2016

Degree Profile of Hierarchical Lattice Networks
Yarong Feng, The George Washington University; Hosam Mahmoud, The George Washington University; Ludger Ruschendorf, Albert-Ludwigs University of Freiburg

Sequential Policy Making in Management of Emerging Infectious Disease with Monte Carlo Tree Search
Sihan Wu, North Carolina State University

An Efficient Sampling Algorithm for Network Motif Detection
Yinghan Chen

A Fast Two-Stage Anomaly-Detecting Method for Large Dynamic Networks
Huan Li, University of Alabama; Michael D. Porter, University of Alabama

Measuring Influence of Users in Twitter Ecosystems Using a Counting Process Modeling Framework
Donggeng Xia, University of Michigan; George Michailidis, University of Florida; Shawn Mankad, Cornell University
8:35 AM

Social Signal Processing: Building Computational Models of Human Behavior in Digital Environments
William Rand, University of Maryland; David Darmon, Uniformed Services University of the Health Sciences; Michelle Girvan, University of Maryland
8:35 AM

An Online Prediction Framework of Influential Users During Urgent Events on Twitter
Hechao Sun
8:50 AM

A Two-Stage Method for Genome-Wide Gene Regulatory Network Construction
Chen Chen, Purdue University; Min Zhang, Purdue University; Dabao Zhang, Purdue University
9:05 AM

Sequential Policy Making in Management of Emerging Infectious Disease with Monte Carlo Tree Search
Sihan Wu, North Carolina State University
9:05 AM

Learning Network Dynamics via Regularized Tensor Decomposition
Yun-Jhong Wu, University of Michigan; Elizaveta Levina, University of Michigan; Ji Zhu, University of Michigan
9:20 AM

Theoretic, Algorithmic, and Empirical Issues in the Application of Directed Probabilistic Graphical Models for Network Inference When Analyzing Genomics Data
Jason Mezey, Cornell University
9:35 AM

Testing for Network Effects in Field Experiments: Examples from Legislative Studies
Sayali Phadke, Penn State University; Bruce A. Desmarais, Penn State University
9:50 AM

Performance Evaluation of Temporal Anomaly Detection on Simulated Social Networks Using a Moving Window-Based Scan Method
Meng Zhao, Virginia Polytechnic Institute and State University; William H. Woodall, Virginia Polytechnic Institute and State University; Anne R. Driscoll, Virginia Polytechnic Institute and State University; Ronald D. Fricker, Virginia Polytechnic Institute and State University; Dan Spitzner, University of Virginia
10:05 AM

Peer Encouragement Designs in Causal Inference with Interference
Hyunseung Kang, Stanford University
10:55 AM

Estimating Network Edge Probabilities by Neighborhood Smoothing
Yuan Zhang, University of Michigan; Elizaveta Levina, University of Michigan; Ji Zhu, University of Michigan
11:05 AM

Model-Assisted Design of Experiments in the Presence of Network-Correlated Outcomes
Guillaume Basse, Harvard
11:15 AM

Data-Driven Confounder Selection via Markov and Bayesian Networks
Jenny Haggstrom, Umea University
11:20 AM

Testing High-Dimensional Differential Matrices, with Applications to Detecting Schizophrenia Genes
Kathryn Roeder, Carnegie Mellon University; Lingxue Zhu, Carnegie Mellon University; Jing Lei, Carnegie Mellon University
11:25 AM

Matching Methods for Large Networks
Alexander Volfovsky, Harvard
11:35 AM

Network System Identification for Point Processes
Victor Solo, University of New South Wales
11:35 AM

An Efficient Sampling Algorithm for Network Motif Detection
Yinghan Chen
11:45 AM

Randomized Experiments in Large Networks
Dean Eckles, MIT Sloan School of Management
11:50 AM

A Fast Two-Stage Anomaly-Detecting Method for Large Dynamic Networks
Huan Li, University of Alabama; Michael D. Porter, University of Alabama
11:50 AM

Biologically Pathway Information Incorporated Structured Model
Xuebei An, MD Anderson Cancer Center; Jianhua Hu, MD Anderson Cancer Center; Kim-Anh Do, MD Anderson Cancer Center
11:50 AM

Inference in the Presence of Network Dependence Due to Contagion
Elizabeth Ogburn, The Johns Hopkins University
11:55 AM

A Bayesian HSROC Model for Meta-Analysis of Multiple Diagnostic Tests
Qinshu Lian, University of Minnesota; Haitao Chu, University of Minnesota
2:25 PM

Estimation of Multi-Granger Network Causal Models
Andrey Skripnikov, University of Florida; George Michailidis, University of Florida
2:35 PM

Hypothesis Testing for Multilayer Network Data
Jun Li, Boston University; Eric D. Kolaczyk, Boston University
3:05 PM

Longitudinal Network Prediction with Applications to Network-Based Interventions
Ravi Goyal, Mathematica Policy Research
3:20 PM

Tuesday, 08/02/2016

ZIP Codes and Neural Networks: Machine Learning for Handwritten Number Recognition
Cuixian Chen, The University of North Carolina at Wilmington; Taylor Harbold, The University of North Carolina at Wilmington; Courtney Rasmussen, The University of North Carolina at Wilmington; Michelle Page, The University of North Carolina at Wilmington

Empirical Evaluation of Bayesian Network Classifiers
Weihua Shi, SAS Institute

Group Discrimination Using Sparse Network Modeling of Resting-State fMRI
Maria Puhl, University of Tulsa; William Coberly, University of Tulsa; Alejandro Hernandez, University of Tulsa; Kyle Simmons, Laureate Institute for Brain Research

Anomaly Detection in Time Series of Dependent Stochastic Block Model Graphs
Heng Wang, Machine Zone; Albert Liu, Ward Melville High School; Youngser Park, The Johns Hopkins University; Carey Priebe, The Johns Hopkins University

Bayesian Nonparametric Feature Selection Over Large-Scale Gene Networks with Missing Values
Zhuxuan Jin, Emory University; Zhou Lan, North Carolina State University; Jian Kang, University of Michigan; Tianwei Yu, Emory University

BANFF: An R Package for BAyesian Network Feature Finder
Zhou Lan, North Carolina State University; Yize Zhao, Statistical and Applied Mathematical Sciences Institute; Jian Kang, University of Michigan; Tianwei Yu, Emory University

An Efficient and Reliable Statistical Method for Estimating Functional Connectivity in Large-Scale Brain Networks Using Partial Correlation
Yikai Wang, Emory University

Analyzing Dependence in Stochastic Networks via Graphical Models
Nana Wang, University of California at Davis; Wolfgang Polonik, University of California at Davis

Fish Cliques: Evidence of Social Groups from Sparse Observations in Time and Space
Jean Adams, USGS Great Lakes Science Center; Stephen Riley, USGS Great Lakes Science Center; Charles Krueger, Michigan State University; Tom Binder, USGS Great Lakes Science Center; Taaja Tucker, USGS Great Lakes Science Center

Community Extraction for Networks with Node Covariates via Pseudo-Likelihood Method
Chengan Du, George Mason University; Qing Pan, The George Washington University; Yunpeng Zhao, George Mason University

Maximizing Text Mining Performance: The Impact of Pre-Processing
Dario Gregori, University of Padova; Paola Berchialla, University of Torino; Nicola Soriani, University of Padova; Ileana Baldi, University of Padova; Corrado Lanera, University of Padova

Hypothesis Testing for Detecting Changes Within a Barabási-Albert Network
Fairul Mohd-Zaid, Air Force Research Lab; Christine Schubert Kabban, Air Force Institute of Technology; Edward White, Air Force Institute of Technology; Richard Deckro, Air Force Institute of Technology
8:35 AM

Probabilistic Graphical Model for Cyber Defensive Policy Assessment and Facilitation of Intuitive Optimal Policy Selection
Pranab Banerjee, Boston Fusion Corp.; Thomas Allen, Boston Fusion Corp.
8:50 AM

Network Analysis--Based Algorithm Nebula for Risk Evaluation of Chemicals
Huixiao Hong, FDA
8:55 AM

Causal Inference in Network-Dependent Observational Data
Oleg Sofrygin, University of California at Berkeley; Mark van der Laan, University of California at Berkeley
8:55 AM

A Bayesian Framework for Modeling Human Mobility
Adrian Dobra, University of Washington
9:05 AM

Network Degree Distribution Inference Under Sampling
Aleksandrina Goeva, Boston University; Richard Lehoucq, Sandia National Laboratories; Eric D. Kolaczyk, Boston University
9:05 AM

A Blockmodel for Node Popularity in Networks with Community Structure
Srijan Sengupta, University of Illinois at Urbana-Champaign; Yuguo Chen, University of Illinois at Urbana-Champaign
9:20 AM

A Point Process Model with Latent Positions for Network Modeling
Bomin Kim
9:35 AM

Tuning-free heterogeneity pursuit in massive networks
Zhao Ren, University of Pittsburgh; Yongjian Kang, University of Southern California; Yingying Fan, University of Southern California; Jinchi Lv, University of Southern California
9:35 AM

Network Cross-Validation by Edge Sampling
Tianxi Li, University of Michigan; Elizaveta Levina, University of Michigan; Ji Zhu, University of Michigan
9:50 AM

Learning the Structure of Biological Networks
Richard Bonneau, New York University; Christian Müller, Simons Foundation
9:55 AM

Network Meta-Analysis of Multiple Factors
Lifeng Lin, University of Minnesota; Haitao Chu, University of Minnesota
10:05 AM

Uncertainty Assessment for Source Estimation of Spreading Processes on Complex Networks
Juliane Manitz, Boston University; Jun Li, Boston University; Eric D. Kolaczyk, Boston University
10:05 AM

The Structure of Activity-Based Online Personal Networks
Zack Almquist, University of Minnesota; Emma Spiro, University of Washington
10:50 AM

Model-Based Clustering for Large-Scale Dynamic Networks
Kevin Lee, Penn State University; Lingzhou Xue, Penn State University; David Hunter, Penn State University
11:15 AM

Friendship Paradoxes and the Quora Downvoting Paradox
Shankar Iyer, Quora; Paula Griffin, Quora; Olivia Angiuli, Quora
11:25 AM

Supervised Implicit Network Construction and Analysis of Related Network-Wide Metrics
Brandon Park; Anand N. Vidyashankar, George Mason University; Tucker McElroy, U.S. Census Bureau; Jie Xu, George Mason University
11:55 AM

Oracle Inequalities for Network Models and Sparse Graphon Estimation
Alexandre Tsybakov, ENSAE; Olga Klopp, University Paris 10/CREST; Nicolas Verzelen, INRA
2:05 PM

Some Applications of Graph Mixtures for Social Network Analysis
Carter Tribley Butts, University of California at Irvine
2:05 PM

Exponential Random Graph Models with Stable (Nonparametric) Statistics
Goeran Kauermann, Ludwig-Maximilians-University Munich
2:05 PM

Empirical Reference Distributions for Networks of Different Size
Anna Smith, The Ohio State University; Catherine Calder, The Ohio State University; Christopher Browning, The Ohio State University
2:05 PM

Generalized Exponential Random Graph Models: Statistical Inference for Weighted Graphs
James D. Wilson, University of San Francisco; Shankar Bhamidi, The University of North Carolina at Chapel Hill
2:20 PM

Trading Strategy Using Stock Moves Prediction and Sentiment Analysis
Brahim Brahim, Big Data Visualizations Inc.; Sun Makosso-Kallyth, McMaster University
2:20 PM

Sparse Motifs: Discovering Structure in Massive Graphs
Zehang Li, University of Washington; Tyler McCormick, University of Washington; Joshua Blumenstock, University of Washington
2:20 PM

Recent Developments in Survey Design for Rare and Hard-to-Survey Populations
Steven G. Heeringa, University of Michigan
2:30 PM

Alternatives to Exponential-Family Models for Social Networks
Mark Stephen Handcock, University of California at Los Angeles
2:35 PM

Module-Based Reconstruction of Gene Regulatory Network into Predictive Modeling for High-Dimensional Genomic Data
Rui Zhong, AbbVie; Xin Huang, AbbVie; Viswanath Devanarayan, AbbVie
2:35 PM

Reconstruction of Directed Acyclic Graphs Networks Based on Prior Causal Ordering Information with Applications to Gene Regulatory Networks
Pei-Li Wang, University of Florida; George Michailidis, University of Florida
2:35 PM

Link Prediction via Matrix Decomposition by Solving Lyapunov Equations
Yunpeng Zhao, George Mason University
2:50 PM

Nonparametric Network Summaries
Sofia Olhede, University College London
3:05 PM

Nonparametric Bayesian Learning of Heterogeneous Dynamic Transcription Factor Networks
Xiangyu Luo, The Chinese University of Hong Kong; Yingying Wei, The Chinese University of Hong Kong
3:05 PM

Risk, Value, and Popularity: A Network-Based Approach to Stock Portfolio Diversification
Natallia Katenka, University of Rhode Island; Gregory Breard, University of Rhode Island
3:05 PM

Lasso-Type Network Community Detection Within Latent Space
Shiwen Shen; Edsel Aldea Pena, University of South Carolina
3:20 PM

Wednesday, 08/03/2016

The Key Role of Statistics in Neuroimaging: Challenges and Opportunities
DuBois Bowman, Columbia University

A New Method to Construct Large Gene Regulatory Networks Using Genetical Genomics Data
Chen Chen, Purdue University; Min Zhang, Purdue University; Dabao Zhang, Purdue University

A Pseudotime-Series--Based Analysis for Single-Cell Sequencing Data Reveals Directed Associations Between Gene Expression Data
Alicia Taylor Specht, University of Notre Dame; Jun Li, University of Notre Dame

Stochastic Network Models with Applications to 'Omics Data
Thomas Bartlett, University College London

Regression Models and Tests for Recruitment Dynamics in Respondent-Driven Sampling
Li Zeng, Yale University; Forrest Crawford, Yale University; Jianghong Li, Yale University

Hybrid-Network: A Bayesian Approach
Demba Fofana; Ebenezer Olusegun George, University of Memphis; Dale Bowman, University of Memphis

Statistical Methods for Genomic Data Integration
Veera Baladandayuthapani, MD Anderson Cancer Center
8:35 AM

New Progresses in Statistical Analysis of Network Tomography
Ke Deng, Tsinghua University; Yang Li, Harvard; Weiping Zhu, University of New South Wales; Jun S. Liu, Harvard
8:35 AM

Analysis of Community Evolution in Networks
Giuliana Pallotta, Lawrence Livermore National Laboratory; Goran Konjevod, Lawrence Livermore National Laboratory
8:50 AM

Using Moving Averages and Basis Functions to Create Spatial Models for Stream Networks
Jay Ver Hoef, NOAA/NMFS National Marine Mammal Lab
8:55 AM

A New Method to Construct Large Gene Regulatory Networks Using Genetical Genomics Data
Chen Chen, Purdue University; Min Zhang, Purdue University; Dabao Zhang, Purdue University
9:00 AM

Anomaly Detection in Time-Evolving Networks Using Tensor Spectrum
Ruikai Cao, The University of Texas at Dallas; Yulia R. Gel, The University of Texas at Dallas
9:05 AM

Stochastic Network Models with Applications to 'Omics Data
Thomas Bartlett, University College London
9:10 AM

Optimal Multilevel Matching Using Network Flows: An Application to a Summer Reading Intervention
Luke Keele, Penn State University; Samuel D. Pimentel, University of Pennsylvania
9:20 AM

Time Delay Boolean Networks for Big Data
Henry Lu, National Chiao Tung University
9:20 AM

Deep Spatial Learning for Forensic Geolocation with Microbiome Data
Neal Grantham; Brian J. Reich, North Carolina State University; Eric Laber, North Carolina State University
9:20 AM

Structural Balance in Village Social Networks with Antagonistic Ties
Derek Feng, Yale University
9:20 AM

Covariates Modulated False Discovery Rate in Hidden Markov Random Field Model
Richard Levine, San Diego State University; Wesley Thompson, University of California at San Diego; Carrie Bearden, University of California at Los Angeles; Dorothy Parker, University of California at San Diego; Rong Zablocki, University of California at San Diego
9:35 AM

Bayesian Network-Response Regression
Lu Wang, Duke University; Daniele Durante, University of Padua; David Dunson, Duke University
9:35 AM

Learning the Underlying Social Network from Continuous-Time Pairwise Interaction Data
Wesley Lee, University of Washington; Bailey Fosdick, Colorado State University; Tyler McCormick, University of Washington
9:35 AM

A Gaussian-Probit Model for Bayesian Network with Mixed Variables
Qingyang Zhang, University of Arkansas; Ji-Ping Wang, Northwestern University
9:35 AM

Hybrid-Network: A Bayesian Approach
Demba Fofana; Ebenezer Olusegun George, University of Memphis; Dale Bowman, University of Memphis
9:45 AM

An ROC Approach to Estimating Interpersonal Networks
Deniz Yenigun, Istanbul Bilgi University; Gunes Ertan, Koc University; Michael Siciliano, University of Illinois at Chicago
9:50 AM

Modeling Preferential Recruitment for Respondent-Driven Sampling
Katherine McLaughlin, University of California at Los Angeles
9:55 AM

Regression Models and Tests for Recruitment Dynamics in Respondent-Driven Sampling
Li Zeng, Yale University; Forrest Crawford, Yale University; Jianghong Li, Yale University
9:55 AM

Heterogeneity in Network Meta-Analysis from a Causal Inference Perspective
Mireille Elisa Schnitzer, Université de Montréal; Russell Steele, McGill University; Ian Shrier, McGill University
10:35 AM

Using Feature Vectors to Cluster Social Networks
Tracy Sweet, University of Maryland; David Sungjun Choi, Carnegie Mellon University; Gabrielle Flynt, Bucknell University
10:35 AM

Dynamic Social Networks Based on Movement
Henry Scharf, Colorado State University; Mevin Hooten, Colorado State University; Bailey Fosdick, Colorado State University; Devin Johnson, Alaska Fisheries Science Center (NOAA); Josh London, Alaska Fisheries Science Center (NOAA); John Durban, Southwest Fisheries Science Center
10:35 AM

A Hidden Markov Model for Animal Soical Networks
Meridith L. Bartley, Penn State University; Ephraim M. Hanks, Penn State University; David P. Hughes, Penn State University
10:50 AM

Combining Evidences for Multiple Treatments: A Confidence Distribution Framework and Its Application to Network Meta-Analysis
Guang Yang, Dun & Bradstreet; Dungang Liu, University of Cincinnati; Minge Xie, Rutgers University
10:55 AM

Statistical Inference for Networks Using Computational Algebraic Geometry
Elizabeth Gross
10:55 AM

Modeling the Effects of Network Attributes on Subgroup Integration
Qiwen Zheng, University of Maryland
11:00 AM

Solving Complex Statistical Problems in Network Meta-Analysis
Jing Zhang, University of Maryland; Lei Nie, FDA; Ram Tiwari, FDA/CDER/OT/OB; Angelo De Claro, FDA; Chia-Wen Ko, FDA
11:15 AM

Longitudinal Latent Space Network Model with VAR Evolution
Samrachana Adhikari, Carnegie Mellon University; Brian W. Junker, Carnegie Mellon University
11:25 AM

Integrated Kernel Learning for Genomic Data Mining and Prediction
Xuefeng Wang, SUNY Stony Brook; Zhenyu Zhang, SUNY Stony Brook; Minqin Chen, SUNY Stony Brook
11:25 AM

Bayesian Neural Network for Predicting Survival Time of Competing Risks
Taysseer Sharaf, Slippery Rock University
11:35 AM

The LCM Filtration for the Cut Distribution of Networks and Its Dual
Henry Wynn, London School of Economics and Political Science
11:35 AM

Simultaneous and Temporal Autoregressive Network Models
Daniel Sewell, University of Iowa
11:35 AM

Causal Mediation Analysis of Social Networks
Adam Chaim Sales, The University of Texas at Austin; Tracy Sweet, University of Maryland; Brian W. Junker, Carnegie Mellon University
11:50 AM

Partial Order Markov Chain Monte Carlo for Bayesian Networks
James Henderson, University of Michigan; George Michailidis, University of Florida
11:50 AM

Edge Exchangeability: A New Foundation for Modeling Network Data
Harry Crane, Rutgers University; Walter Dempsey, University of Michigan
12:05 PM

Case Studies in Academic-Industry-Government Collaborations in Bayesian Adaptive Clinical Trials
Bradley Carlin, University of Minnesota
2:05 PM

Union of Intersections (UoI) Method for Bootstrap-Based Interpretable Discovery
Sharmodeep Bhattacharyya, Oregon State University; Kristofer Bouchard, Lawrence Berkeley National Laboratory; Michael W. Mahoney, University of California at Berkeley; Farbod Roosta-Khorasani, University of California at Berkeley; Alejandro F. Bujan, University of California at Berkeley
2:05 PM

Latent Space Approaches to Dynamic Multilayer Networks
Nabanita Mukherjee, Duke University; Rebecca Steorts, Duke University; Daniele Durante, University of Padua
2:05 PM

Batch Effects in Network Inference
Claire Ruberman
2:05 PM

Modeling Concurrency and Selective Mixing in Heterosexual Partnership Networks with Applications to Sexually Transmitted Diseases
Ryan Admiraal, Murdoch University; Mark Stephen Handcock, University of California at Los Angeles
2:20 PM

Identification of Homogeneous Areas Through Lattice-Based Spatio-Temporal Clustering
Rodrigue Ngueyep Tzoumpe, IBM Research; Huijing Jiang, IBM; YoungDeok Hwang, IBM T. J. Watson Research Center
2:20 PM

Visual Inference for Networks
Heike Hofmann, Iowa State University; Samantha Tyner, Iowa State University; Mahbubul Majumder, University of Nebraska - Omaha; Haley Jeppson, Iowa State University
2:25 PM

Law of Large Numbers for Generalized Network-Based SIR Models
Mark Burch, The Ohio State University
2:35 PM

Detecting 'Active Subnetworks' in Weighted, Undirected Graphs, with Application to Metabolomics Studies
Yubing Yao; Michael Nodzensk, Feinberg School of Medicine; Denise Scholtens, Feinberg School of Medicine; Raji Balasubramanian, University of Massachusetts - Amherst
2:50 PM

Signal Recovery from Deep Scattering Representations
Joan Bruna, University of California at Berkeley
2:55 PM

Questionnaire on Network Meta-Analysis to Assess Its Relevance and Credibility
Joseph Cappelleri, Pfizer
3:05 PM

Vertex Nomination via Seeded Graph Matching
Heather Patsolic, The Johns Hopkins University; Vince Lyzinski, The Johns Hopkins University; Carey Priebe, The Johns Hopkins University
3:20 PM

Thursday, 08/04/2016

Bayesian Method for Testing Differential Directed Acyclic Graphs
Hongmei Zhang, University of Memphis; Xianzheng Huang, University of South Carolina; Shengtong Han, The University of Chicago; Wilfried Karmaus, University of Memphis
8:50 AM

Testing for Differential Connectivity in High-Dimensional Networks
Sen Zhao, University of Washington; Ali Shojaie, University of Washington
9:00 AM

Statistical Methods for Global and Subnetwork Connectomic Analyses
Russell Shinohara, University of Pennsylvania; Simon Vandekar, University of Pennsylvania
9:50 AM

Longitudinal Study of NHDS Data Using NFCA for Aging Population
Junheng Ma, Case Western Reserve University; Jiayang Sun, Case Western Reserve University; Neal Dawson, Case Western Reserve University/MetroHealth Medical Center
10:35 AM

Adaptive Control Algorithms for Managing Infectious Diseases on a Network
Nicholas Meyer, North Carolina State University; Eric Laber, North Carolina State University; Brian J. Reich, North Carolina State University; Krishna Pacifici, North Carolina State University
10:50 AM

Harnessing the Power of Twitter with Offline Contact Networks for Probabilistic Flu Forecasting
Kusha Nezafati, The University of Texas at Dallas; Leticia Ramirez-Ramirez, Mexico Autonomous Institute of Technology; Yulia R. Gel, The University of Texas at Dallas
10:55 AM

Improved Simulation for Exponential Random Graph Models for Social Network Analysis
Junchi Guo; Michael Larsen, The George Washington University
11:05 AM

Fixed Choice Design and Augmented Fixed Choice Design for Missing Data in Social Networks
Miles Ott, Augsburg College; Joseph Hogan, Brown University; Nancy Barnett, Brown University; Krista Gile, University of Massachusetts - Amherst; Matthew Harrison, Brown University
11:05 AM

Toward Efficient MCMC Algorithms for Doubly Intractable Distributions
Jaewoo Park, Penn State University; Murali Haran, Penn State University
11:20 AM

Causal Inference in Observational Studies using data integration in large scales and creating strong instrumental variables
Azam Yazdani; Akram Yazdani, The University of Texas Health Science Center at Houston; Ahmad Samiei, Hasso-Plattner-Institut für Softwaresystemtechnik; Eric Boerwinkle, The University of Texas Health Science Center at Houston
11:35 AM

Inbound Call Survey (ICS) Technology and Rapid Surveillance
Georgiy Bobashev, RTI International; Burton Levine, RTI International; Karol Krotki, RTI International; Scott Richards, Reconnect Research
11:55 AM

JSM 2016 Online Program

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