JSM 2013 Home
Online Program Home
My Program

Keyword Search

Legend: Palais des congrès de Montréal = CC, Le Westin Montréal = W, Intercontinental Montréal = I
A * preceding a session name means that the session is an applied session.
A ! preceding a session name means that the session reflects the JSM meeting theme.
Keyword Search Criteria: Clustering returned 65 record(s)
Sunday, 08/04/2013
Speaking Clearly About Data Scientists: A Survey and Clustering Analysis
Harlan D. Harris, Data Community DC; Marck Vaisman, Data Community DC; Sean P. Murphy, Data Community DC


Bayesian Spatial Hierarchical Modeling of Geographic Disparities in COPD Mortality in U.S. (2000--2007)
Xingyou Zhang, CDC; James B. Holt, CDC; Anne Wheaton, CDC; Earl Ford, CDC; Janet B. Croft, CDC
2:05 PM

A Bayesian Nonparametric Approach to the Analysis of fMRI Data
Linlin Zhang, Rice; Michele Guindani, The University of Texas MD Anderson Cancer Center; Marina Vannucci, Rice University
2:20 PM

Optimal Feature Selection by Higher Criticism in High-Dimensional Spectral Clustering
Wanjie Wang; Jiashun Jin, Carnegie Mellon University
3:05 PM

A New Approach to Modeling Roll Call Data
Abel Rodriguez, University of California, Santa Cruz; Kaushik Ghosh, University of Nevada Las Vegas
3:05 PM

Impact of Regularization on Spectral Clustering
Antony Joseph, University of California Berkeley; Bin Yu, Univ of California at Berkeley
4:05 PM

Fast community detection by pseudo-likelihood
Liza Levina , University of Michigan
4:55 PM

Monday, 08/05/2013
Detection of Statistically Significant Sub-Clusters in Biological Data
Guoli Sun, Stony Brook University; Alexander Krasnitz, Cold Spring Harbor Laboratory


Classroom Demonstrations of Parallel Processing for Statistics
Eric Suess, CSU East Bay


Detecting Clustering in Inhomogeneous Point Processes with Applications to Duck Nesting Locations
Daniel Fortin, Iowa State University; Philip Dixon, Iowa State Univ; William Clark, Iowa State University; Nicholas Michaud, Iowa State University


A Novel Method for Analysis of Health Indices Data
Huann-Sheng Chen, National Cancer Institute/NIH; Shunpu Zhang, University of Nebraska


Using Ripley's L-Function to Examine Spatial Clustering in Duck Nests
Nicholas Michaud, Iowa State University; Philip Dixon, Iowa State Univ; William Clark, Iowa State University; Daniel Fortin, Iowa State University; David Howerter, Ducks Unlimited Canada


Post-GWAS Analysis of Snip Data with Applications to Systolic Blood Pressure Sensitivity to Weight and Sodium Change
Jie Liu, Rutgers University; Javier Cabrera, Dept of Statistics, Rutgers University; Jerry Q. Cheng, University of Medicine and Dentistry of New Jersey-Robert Wood Johnson Medical School; John Kostis, Robert Wood Johnson Medical School, Rutgers University
8:35 AM

Clustering Analysis of Clickstream Data in Consumer Path to Purchase
Mark Irwin, Compete; Amit Phansalkar, Compete
8:35 AM

Functional Data Techniques for Mapping of Neurodevelopmental Trajectories
Philip Reiss, New York University; Lei Huang, Johns Hopkins University; Huaihou Chen, New York University; Thaddeus Tarpey, Wright State University
9:00 AM

Convergence Assessment in Large Finite State Space MCMC with an Application to Bayesian Clustering
Masoud Asgharian, McGill University; Ioana Ada Coxma, University of Ottawa; Vahid Partovi Nia, École Polytechnique Montréal
10:05 AM

Hierarchical Geostatistical Analysis in Clustering fMRI Time Series
Jun Ye, University of Akron
10:55 AM

Bayesian Clustering in Decomposable Graphs
Luke Bornn, Department of Statistics, Harvard University; François Caron, INRIA Bordeaux - Sud-Ouest
11:35 AM

Clustering of Respondents and Diagnostics for Choice-Based Conjoint
Robert Mee, University of Tennessee; Wenjun Zhou, University of Tennessee
11:50 AM

Role of Science and Engineering Education and R&D in U.S. State Growth and Innovation
Juana Sanchez, UCLA; Weisong Lin, UCLA ; Vincent Vu, UCLA
11:50 AM

Latent Supervised Learning
Susan Wei, UNC
11:55 AM

Seqclock: Analysis Pipeline for Time Course Genomic Sequencing Experiments
Xuekui Zhang, Johns Hopkins University
12:05 PM

Bayesian Mixture Model--Based Clustering with Unknown Number of Components
Taiyeong Lee, SAS Institute Inc.; Jaeseok Kim, Samsung Electronics; Yongdai Kim, Seoul National University
12:05 PM

A Comparison of Methods for Estimating Confidence Intervals for Proportions in Clustered Surveys
Natalie Exner, Harvard University; Marcello Pagano, Harvard University
2:05 PM

Analysis of Variance as a Basis for Sample Surveys
Andrew Vogt, Georgetown Univ; Dhiren Ghosh, Synectics for Management Decisions, Inc.
2:20 PM

Expert-Guided Generative Topographic Modeling with Visual to Parametric Interaction
Leanna House, Virginia Tech; Chao Han, Virginia Tech; Scotland Charles Leman, Virginia Tech
2:35 PM

Merging Mixture Components for Model-Based Clustering
Volodymyr Melnykov, The University of Alabama
3:05 PM

Extraction of Statistically Significant Communities in Undirected Networks
James Wilson, UNC Chapel Hill; Simi Wang, Department of Mathematics, UNC Chapel Hill; Andrew Nobel, UNC-CH; Peter Mucha, Department of Mathematics, UNC Chapel Hill; Shankar Bhamidi, Department of Statistics and Operations Research, UNC Chapel Hill
3:20 PM

Tuesday, 08/06/2013
MCMC Clustering and Its Convergence Issues
Namdar Homayounfar; Masoud Asgharian, McGill University; Vahid Partovi Nia, École Polytechnique Montréal


Similar Items for New Shops
A. Santos, Etsy


Malware Detection Using Nonparametric Bayesian Clustering and Classification Techniques
Yimin Kao, Department of Statistics, North Carolina State University ; Brian J. Reich, North Carolina State University; Curtis Storlie, Los Alamos National Laboratory
8:35 AM

Bayesian Inference for Assessing the Association Between Urinary Incontinence and Hormone Profiles During the Menopausal Transition
Yan He, UC Irvine; Wesley O. Johnson, UC Irvine
8:35 AM

The Population Goal of Modal Clustering
Jose E. Chacon, Universidad De Extremadura
8:50 AM

Customer Service Escalation Early Warning System: A Subsampling Approach
Jiabin Zhao, Cisco Systems
8:50 AM

Distinctness Evaluation of Unknown Clustering Structure
Ewa Nowakowska, Institute of Computer Science, PAS
9:05 AM

A Longitudinal Model for Repeated Cross Sectional Data with Clustering
Albert Satorra, Universitat Pompeu Fabra; Peter M. Bentler, University of California, Los Angeles
9:05 AM

Variable Selection with Overlapping Clustering
Thierry Chekouo Tekougang, The University of Texas MD Anderson Cancer Center; Alejandro Murua, University of Montreal
9:15 AM

Semi-Supervised Model-Based Clustering with Regularized Covariance Matrix Estimation
Brad Price, University of Minnesota; Charles J. Geyer, University of Minnesota; Adam J. Rothman, University of Minnesota
9:20 AM

Unsupervised Learning: Assessing Cluster Significance Through a Combination of Cross-Validation and Resampling
Werner Stuetzle, University of Washington
9:35 AM

Density-Based Clustering Using a Stochastic Approximation Mean-Shift Algorithm
Ollivier Hyrien, University of Rochester
9:35 AM

Estimation of Phylogenetic Clustering Rates in the Presence of Missing Data
Nicole Carnegie, Harvard University; Rui Wang, Harvard School of Public Health; Victor DeGruttola, Harvard University; Vladimir Novitsky, Harvard School of Public Health
9:35 AM

Alternatives to Penalization for Sparse Models
Sarah Emerson, Oregon State University
9:50 AM

Canonical K-Means Clustering for Constructing Moderator Importance Plots
Thaddeus Tarpey, Wright State University; Eva Petkova, New York University
10:35 AM

Clustering to Strengthen a Categorical Instrument
Douglas Lehmann, University of Michigan; Yun Li, University of Michigan; Yi Li, University of Michigan
11:40 AM

Regularized Matrix Decomposition and Its Applications
Jianhua Z. Huang, Texas A&M University
2:30 PM

Selecting the Number of Communities in Stochastic Blockmodels
Diego Franco Saldana, Columbia University; Yi Yu, University of Cambridge; Yang Feng, Columbia University
2:50 PM

Monitoring Joint Convergence of MCMC Samplers Using Cluster-Based Partitions
Douglas VanDerwerken, Duke University; Scott C. Schmidler, Duke University
2:50 PM

Teaching Data Mining and Predictive Analytics to Undergraduates
Brant Deppa, Winona State University
3:05 PM

Wednesday, 08/07/2013
Group-Based Trajectory Modeling of the Estradiol Trajectories During the Menopausal Transition Among Women in the Study of Women's Health Across the Nation (SWAN)
Ping G. Tepper, University of Pittsburgh; Bobby Jones, University of Pittsburgh Medical Center; Sybil Crawford, University of Massachusetts Medical School; Huiyong Zheng, University of Michigan; Kristine Ruppert, University of Pittsburgh; Howard Kravitz, Rush University Medical Center; Yinjuan Lian, University of Pittsburgh; Maria M. Brooks, University of Pittsburgh


Biclustering with the EM Algorithm
Prabhani Kuruppumullage Don, Penn State University; Bruce G. Lindsay, The Pennsylvania State University; Francesca Chiaromonte, Penn State University


Covariance Partition Priors: A Bayesian Approach to Simultaneous Covariance Estimation
Jeremy Gaskins, University of Florida; Michael Daniels, The University of Texas at Austin
9:05 AM

Model-Based Clustering for Multivariate Binary Data with Dimension Reduction
Michio Yamamoto, Osaka University; Kenichi Hayashi, Osaka University Graduate School of Medicine
9:20 AM

Model-Based Clustering of Gaussian Regression Time Series
Semhar Michael, The University of Alabama; Volodymyr Melnykov, The University of Alabama
10:50 AM

Branching Out with Level Set Trees: Generalizing Beyond Densities and Enabling Interactive Data Analysis
Brian P. Kent, Carnegie Mellon University Department of Statistics; Alessandro Rinaldo, Carnegie Mellon University; Timothy Verstynen, Carnegie Mellon University Dept of Psychology and Ctr for the Neural Basis of Cognition
11:05 AM

Deduplicating Text Records Using Clustering and Aggregation of Conditional Classifiers
Samuel Ventura, Carnegie Mellon University; Rebecca Nugent, Carnegie Mellon University
2:05 PM

Adjustment for Population Stratification in Association Analysis of Rare Variants
Wei Pan, University of Minnesota; Yiwei Zhang, University of Minnesota; Binghui Liu, University of Minnesota; Xiaotong Shen, University of Minnesota
3:25 PM

Thursday, 08/08/2013
Clustering and Classification of Multiple Sequences
Asif Shams Adnan, Jahangirnagar University; Mian Adnan, Jahangirnagar University; M Shamsuddin, Dhaka
9:05 AM

A Bayesian Spatio-Functional Clustering Model Based on Wavelet Smoothing, with Application to Climate Change Study
Zhen Zhang, Michigan State University; Chae Young Lim, Michigan State; Tapabrata Maiti, Michigan State University
10:35 AM

Clustering Tree-Structured Data on Manifold
Hongyu Miao, Department of Biostatistics, University of Rochester
10:50 AM

'Location, Location, Location': A Spatial Approach for Rare-Variant Analysis and an Application to a Study on Nonsyndromic Cleft Lip with or Without Cleft Palate
Heide Fier, Department of Genomic Mathematics, University of Bonn; Sungho Won, Chung-Ang University; Dmitry Prokopenko, University of Bonn; Kerstin Ludwig, Department of Genomics, Life and Brain Center, University of Bonn, Bonn, Germany; Rolf Fimmers, Institute for Medical Biometry, Informatics and Epidemiology, University of Bonn; Edwin Silverman, Harvard Medical School; Marcello Pagano, Harvard University; Elisabeth Mangold, University of Bonn; Christoph Lange, Department of Biostatistics, Harvard School of Public Health
11:00 AM

Poisson Mixture Models for Next-Generation RNA Sequencing Data
Qiwei Li, Rice University; Marina Vannucci, Rice University; Heng Lian, Nanyang Technological University
11:05 AM

State-Space Time-Series Clustering and Inference Using Discrepancies Based on the Kullback-Leibler Information and the Mahalanobis Distance
Eric Foster, The University of Iowa; Joseph Cavanaugh, University of Iowa
11:35 AM

Bayesian Clustering Using MCMC Sampling
Mahroo Vahidpour, Polytechnique Montréal; Vahid Partovi Nia, École Polytechnique Montréal
11:35 AM

Comparison of Co-Expression Measures: Mutual Information, Correlation, and Model-Based Indices
Steve Horvath, University of California, Los Angeles; Lin Song, University of California, Los Angeles
11:50 AM

Vertically Shifted Mixture Models for Clustering Longitudinal Data
Brianna Heggeseth, Williams College; Nicholas Jewell, University of California Berkeley
11:50 AM




2013 JSM Online Program Home

For information, contact jsm@amstat.org or phone (888) 231-3473.

If you have questions about the Continuing Education program, please contact the Education Department.

The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.

ASA Meetings Department  •  732 North Washington Street, Alexandria, VA 22314  •  (703) 684-1221  •  meetings@amstat.org
Copyright © American Statistical Association.