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

Keyword Search

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

Keyword Search Criteria: Networks returned 92 record(s)

Sunday, 07/29/2018

Deep Learning for Statistical Inference in Infectious Disease Systems
Rob Deardon, University of Calgary; Carolyn Augusta, University of Guelph; Graham Taylor, University of Guelph

Network Meta-Analysis of Disconnected Networks: How Dangerous Are Random Baseline Treatment Effects?
Audrey Béliveau, University of Waterloo; Sarah Goring, SMG Outcomes Research; Robert W Platt, McGill University; Paul Gustafson, University of British Columbia

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

Fusion of the Semiparametric Models and Network Measures in the Study of Brain Dynamic Functional Connectivity
Maria Kudela, Takeda Pharmaceuticals; Jaroslaw Harezlak, Indiana University Bloomington; Mario Dzemidzic, Indiana University School of Medicine; Brandon Oberlin, Indiana University School of Medicine; David A Kareken, Indiana University School of Medicine; Joaquin Goni, Purdue University

Statistical Modeling of Brain Networks Using Multimodal Neuroimaging
Ying Guo, Emory University; Yingtian Hu, Emory University
2:05 PM

A Four-Part Introduction to Deep Learning
Christopher Manning, Stanford University; Ruslan Salakhutdinov, Carnegie Mellon University
2:05 PM

Template ICA: Estimating Resting-State Networks from fMRI in Individual Subjects Using Empirical Population Priors
Amanda Mejia, Indiana University; Yikai Wang, Emory University; Brian Caffo, Johns Hopkins University; Ying Guo, Emory University
2:30 PM

Bayesian Inference for Phylogenetic Trees and Networks
Liangliang Wang, Simon Fraser University; Shijia Wang, Simon Fraser University; Alexandre Bouchard-Côté, University of British Columbia
2:45 PM

Toward a Sampling Theory for Statistical Network Analysis
Harry Crane, Rutgers
3:05 PM

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

Estimating Heterogeneous Biomarker Networks and Their Effects on Disease Outcome
Shanghong Xie, Columbia University; Xiang Li, Statistics and Decision Sciences, Janssen Research & Development, LLC; Donglin Zeng, UNC Chapel Hill; Yuanjia Wang, Columbia University
4:05 PM

Spatial Bayesian Fusing Models for Sparse Networks and Health Risk
Andrew B Lawson, Medical University of South Carolina ; Raymond Boaz, Medical University of South Carolina
4:25 PM

The Convex Mixture Transition Distribution: Granger Causality Networks for Categorical Time Series
Alex Tank; Emily Fox, University of Washington; Ali Shojaie, University of Washington
5:05 PM

Monday, 07/30/2018

Variation of Functional Connectome Topology and Its Implications for Attention
Kelson Zawack, Yale University

Classroom Demonstration: Deep Learning for Classification and Prediction, Introduction to GPU Computing
Eric Suess, CSU East Bay

A Generalization of Convolutional Neural Networks to Graph-Structured Data
Yotam Hechtlinger, Carnegie Mellon Univ; Purvasha Chakravarti, Carnegie Mellon University; Jining Qin, Carnegie Mellon University

Multiple Imputation Using Denoising Autoencoders
Lovedeep Gondara

Detecting Planets: Jointly Modeling Radial Velocity and Stellar Activity Time Series
David Edward Jones, Duke University and SAMSI; David Stenning, Imperial College London; Eric Ford, Penn State University; Robert Wolpert, Duke University; Thomas Loredo, Cornell University; Xavier Dumusque, Observatoire Astronomique de l'Universite de Geneve
8:35 AM

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

Factor Models for High-Dimensional Dynamic Networks: With Application to International Trade Flow Time Series 1981--2015
Elynn CHEN, Rutgers University; Rong Chen, Rutgers University
8:35 AM

Segmenting Dynamic Network Data
Rex Cheung, San Francisco State University
8:50 AM

Making Optimal Matching Size-Scalable Using Optimal Calipers
Ruoqi Yu, University of Pennsylvania; Paul Rosenbaum, University of Pennsylvania
8:50 AM

Inferring Low-Rank Population Structure from Multiple Network Samples
Keith Levin, University of Michigan; Asad Lodhia, University of Michigan; Elizaveta Levina, University of Michigan
9:05 AM

Multiple Imputation Using Denoising Autoencoders
Lovedeep Gondara
9:20 AM

Decision-Theoretic Aspects of Causal Inference Under Network Interference
Daniel L Sussman, Boston University
9:25 AM

Two-Way Sparsity for Time-Varying Networks, with Applications in Genomics
Thomas Bartlett, University College London; Ricardo Silva, University College London; Ioannis Kosmidis, University of Warwick
9:50 AM

Statistical Methods for Handling Missing Data in Distributed Health Data Networks
Yi Deng, Google Inc.; Xiaoqian Jiang, University of California, San Diego; Qi Long, University of Pennsylvania
11:00 AM

Additivity of Information in Multilayer Networks via Additive Gaussian Noise Transforms
Galen Reeves, Duke University
11:00 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

Bayesian Network Models for Integrating Genetics and Metabolomics Data
Denise Marie Scholtens, Northwestern University; Alan Kuang, Northwestern University
11:25 AM

Understanding Cryptocurrency Price Formation from Time Series of Local Blockchain Graph Features
Cuneyt Akcora, University of Texas at Dallas; Asim Dey, University of Texas at Dallas; Ceren Abay, University of Texas at Dallas; Yulia Gel, University of Texas at Dallas; Umar Islambekov, University of Texas at Dallas; Murat Kantarcioglu, University of Texas at Dallas
11:25 AM

Edward: a Library for Probabilistic Machine Learning and Statistics
Dustin Tran, Columbia University; David Blei, Columbia University
11:35 AM

Sharing of Network Data: Differentially Private Synthetic Networks
Aleksandra Slavkovic, Pennsylvania State University; Vishesh Karwa, Ohio State University; Pavel Krivitsky, University of Wollongong
11:35 AM

Sufficient Dimension Reduction Using Deep Neural Networks
Yixi Xu, Purdue University; Xin Zhang, Florida State University; Xiao Wang , Purdue University
11:50 AM

Sparse-Input Neural Networks for High-Dimensional Nonparametric Regression and Classification
Jean Feng; Noah Simon, University of Washington
2:05 PM

Likelihood Based Dynamic Connectivity Analysis Using Hidden Semi-Markov Models
Heather Shappell, Johns Hopkins University Bloomberg School of Public Health; Brian Caffo, Johns Hopkins University; James Pekar, Johns Hopkins University F.M. Kirby Research Center; Martin A Lindquist, Johns Hopkins University
2:35 PM

Comparison of Functional Brain Networks via Correlation Preserving Random Networks
Ixavier Higgins, Rollins School of Public Health-Emory University; Suprateek Kundu, Emory University Rollins School of Public Health; Ying Guo, Emory University
3:20 PM

Tuesday, 07/31/2018

Differences Between Telomerase Activation and ALT Based on the Theory of G-Networks
Kyung Hyun Lee, Rice University; Marek Kimmel, Rice University

Bayesian Function Data Analysis for Weather Forecast
Duchwan Ryu, Northern Illinois University; Hao Shen, Northern Illinois University

Invalid Statistical Inference Due to Social Network Dependence
Youjin Lee, Johns Hopkins School of Public Health; Elizabeth Ogburn, Johns Hopkins School of Public Health

Inferring Networks from Personal, Dense, Dynamic Data Clouds of Biological and Quantified-Self Data
Elisa Sheng, Arivale

Invalid Statistical Inference Due to Social Network Dependence
Youjin Lee, Johns Hopkins School of Public Health; Elizabeth Ogburn, Johns Hopkins School of Public Health
9:05 AM

Inferring Gene Regulatory Networks from a Population of Yeast Segregants
Dabao Zhang, Purdue University
9:35 AM

A Dynamic Individual-Based Model of Ant Interaction Events
Nathan Wikle; Ephraim Hanks, The Pennsylvania State University; David Hughes, Pennsylvania State University
9:50 AM

The Reduced PC-Algorithm: Improved Causal Structure Learning in Large Random Networks
Arjun Sondhi, University of Washington; Ali Shojaie, University of Washington
10:35 AM

Evaluating Power Plant Regulations with Methods for Causal Inference on Bipartite Networks with Interference
Fabrizia Mealli, University of Florence; Corwin Zigler, Harvard T.H. Chan School of Public Health; Laura Forastiere, University of Florence
11:15 AM

Inferring Networks from Personal, Dense, Dynamic Data Clouds of Biological and Quantified-Self Data
Elisa Sheng, Arivale
11:40 AM

Network Meta-Analysis: On the Use of the Standard Contrast-Based Approach in Disconnected Networks
Audrey Béliveau, University of Waterloo; Paul Gustafson, University of British Columbia
11:50 AM

Constructing Tumor-Specific Gene Regulatory Networks Based on Sample with Tumor Purity Heterogeneity
Pei Wang, Icahn School of Medicine at Mount Sinai ; Francesca Petralia, Icahn School of Medicine at Mount Sinai; Li Wang, Icahn School of Medicine at Mount Sinai; Jie Peng, UC Davis
2:05 PM

Inference of Transcription Factor Binding Sites in New Cell Types from Open Chromatin and Gene Expression Data
Michael M. Hoffman, Princess Margaret Cancer Centre/University of Toronto; Mehran Karimzadeh, University of Toronto
2:05 PM

Boolean Function Networks
Henry Lu, National Chiao Tung University
2:20 PM

Bayesian Inference of Spreading Processes on Networks
Antonietta Mira, Università della Svizzera italiana; Ritabrata Dutta, Università della Svizzera italiana; Jukka-Pekka Onnela, Harvard T. H. Chan School of Public Health
2:25 PM

Inferring the Impact of Genetic Variation on Regulatory Networks
Sara Mostafavi
2:45 PM

Data Collection Issues in Modeling and Estimation of Urban Transportation Networks
Isabelle Kemajou-Brown, Morgan State University; Jasmine Alston, Morgan State University; Paul Bikoi, Morgan State University; Eugene Evans, Morgan State University; Xilei Zhao, University of Michigan; James C. Spall, Applied Physics Laboratory
3:35 PM

Wednesday, 08/01/2018

Improving Object Detection with Image Preprocessing
Timothy J. Park, Purdue University

Bayesian Non-Negative Matrix Factorization for Analyzing Co-Location Networks
Wenna Xi, The Ohio State University; Catherine Calder, The Ohio State University; Christopher Browning, The Ohio State University

Causal Inference for Infectious Disease Interventions in Networks
Xiaoxuan Cai, Yale University; Forrest W Crawford, Yale School of Public Health

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

Incorporating Sociodemographic Transitions and Family Network Structure into Historical Record Linkage
Kayla Frisoli, Carnegie Mellon University; Rebecca Nugent, Carnegie Mellon University; Brendan Murphy, University College Dublin
8:55 AM

Folded Concave Penalized Estimation of Conditional Copula Graphical Models with Application to Microbial Networks
Bingyuan Liu, Pennsylvania State University; Lingzhou Xue, Penn State University and National Institute of Statistical Sciences
9:05 AM

Causal Inference for Infectious Disease Interventions in Networks
Xiaoxuan Cai, Yale University; Forrest W Crawford, Yale School of Public Health
9:30 AM

Heterogeneous Treatment Effect Estimation through Deep Learning
Ran Chen, Wharton; Hanzhong Liu, Center for Statistical Science, Tsinghua University
9:35 AM

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

Simultaneous Prediction and Community Detection on Networks with Application to Neuroimaging
Jesús Arroyo , University of Michigan; Elizaveta Levina, University of Michigan
9:50 AM

Comparative Methods on Phylogenetic Networks
Claudia Solis-Lemus, Emory University; Cecile Ane, University of Wisconsin-Madison; Paul Bastide, Rega Institute, KU Leuven; Ricardo Kriebel, University of Wisconsin-Madison; William Sparks, University of Wisconsin-Madison
10:35 AM

Degree Centrality of SNPs in EQTL Networks
Sheila Gaynor, Harvard University; Maud Fagny, Dana Farber Cancer Institute; John Platig, Dana Farber Cancer Institute; Xihong Lin, Harvard University; John Quackenbush, Dana Farber Cancer Institute
11:05 AM

Time-Constrained Predictive Modeling on Large and Continuously Updating Financial Data Sets
Bernard Lee, HedgeSPA Limited; Nicos Christofides, Imperial College London
11:20 AM

Direct Estimation of Differential Networks Under High-Dimensional Nonparanormal Graphical Models
Qingyang Zhang, University of Arkansas
2:20 PM

Cooperative Learning of Deep Energy-Based Model and Latent Variable Model via MCMC Teaching
Ying Nian Wu, UCLA
2:30 PM

Exact Conditional Randomization Tests for Causal Effects Under Interference
Panagiotis Toulis, University of Chicago; Avi Feller, UC Berkeley; Guillaume Basse, Harvard University
2:45 PM

Local, Model-Agnostic Explanations of Machine Learning Predictions
Sameer Singh, University of California, Irvine
2:45 PM

Think Deeper with Deep Learning
Saratendu Sethi, SAS Institute Inc.
2:55 PM

Estimation of Contagion Effects in Households and Other Networks
Forrest W Crawford, Yale School of Public Health; Wen Wei Loh, Ghent University
3:05 PM

Weight Normalized Deep Neural Networks
Xiao Wang , Purdue University; Yixi Xu, Purdue University
3:20 PM

Model-Based Sampling Design for Multivariate Spatial Prediction on a Stream Network
Dale Zimmerman, American Statistical Association
3:20 PM

Thursday, 08/02/2018

Modeling Preferential Site Selection in Networks Used to Monitor Environmental Spatio-Temporal Processes
Jim Zidek, University of British Columbia; Joe Watson, UBC; Gavin Shaddick , University of Exeter
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

Leveraging Adiabatic Quantum Computation for Election Forecasting
Maxwell Henderson, QxBranch
8:35 AM

Automatic Wildfire Smoke Plume Identification from Satellite Imagery with Machine Learning
Alexandra Larsen, North Carolina State University; Ana Rappold, U.S. Environmental Protection Agency; Yi Qin, The Commonwealth Scientific and Industrial Research Organisation; Martin Cope, The Commonwealth Scientific and Industrial Research Organisation; Geoffrey Morgan, The University of Sydney; Ivan Hannigan, The University of Sydney; Brian J. Reich, North Carolina State University
8:35 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

Statistical Properties of Deep Networks
Peter Bartlett, UC Berkeley
9:25 AM

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

Non-Stationary High-Dimensional Time Series Networks for Brain Imaging Data
Ivor Cribben, University of Alberta
9:35 AM

Statistical Topology of Brain Activity Networks
Victor Solo, University of New South Wales; Ben Cassidy, Columbia University
10:35 AM

A Framework of Change Detection for Dynamic Networks
Fuchen Liu, Carnegie Mellon University
10:50 AM

Statistical Inference of Brain Connectivity Networks: a Network Topology Based Method
Yishi Xing; Shuo Chen, University of Maryland, School of Medicine
10:55 AM

Bayesian Integrative Analysis of Brain Functional Networks Incorporating Anatomical Knowledge
Suprateek Kundu, Emory University Rollins School of Public Health; Ixavier Higgins, Rollins School of Public Health-Emory University; Ying Guo, Emory University
11:15 AM

Modeling Social Contact Networks in Niakhar, Senegal
Gail Potter, The Emmes Corporation; Jimmy Wong, FDA; Jonathan Sugimoto, Fred Hutch; Aldiouma Diallo, IRD; John Chris Victor , PATH; Kathleen Neuzil, University of Maryland ; M Elizabeth Halloran, Fred Hutch , University of Washington
11:20 AM

Bayesian Network-On-Scalar Regression
Jian Kang, University of Michigan
11:35 AM

Online Non-Negative Tensor Decomposition with Application to Kidney Paired Donation
Mathieu Bray, University of Michigan; Peter X.-K. Song, University of Michigan
11:50 AM

JSM 2018 Online Program

Keyword Search

American Statistical Association