Sunday, 08/04/2013
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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
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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
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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
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Optimal Feature Selection by Higher Criticism in High-Dimensional Spectral Clustering
Wanjie Wang; Jiashun Jin, Carnegie Mellon University
3:05 PM
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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
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Impact of Regularization on Spectral Clustering
Antony Joseph, University of California Berkeley; Bin Yu, Univ of California at Berkeley
4:05 PM
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Fast community detection by pseudo-likelihood
Liza Levina , University of Michigan
4:55 PM
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Monday, 08/05/2013
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Detection of Statistically Significant Sub-Clusters in Biological Data
Guoli Sun, Stony Brook University; Alexander Krasnitz, Cold Spring Harbor Laboratory
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Classroom Demonstrations of Parallel Processing for Statistics
Eric Suess, CSU East Bay
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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
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A Novel Method for Analysis of Health Indices Data
Huann-Sheng Chen, National Cancer Institute/NIH; Shunpu Zhang, University of Nebraska
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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
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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
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Clustering Analysis of Clickstream Data in Consumer Path to Purchase
Mark Irwin, Compete; Amit Phansalkar, Compete
8:35 AM
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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
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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
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Hierarchical Geostatistical Analysis in Clustering fMRI Time Series
Jun Ye, University of Akron
10:55 AM
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Bayesian Clustering in Decomposable Graphs
Luke Bornn, Department of Statistics, Harvard University; François Caron, INRIA Bordeaux - Sud-Ouest
11:35 AM
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Clustering of Respondents and Diagnostics for Choice-Based Conjoint
Robert Mee, University of Tennessee; Wenjun Zhou, University of Tennessee
11:50 AM
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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
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Latent Supervised Learning
Susan Wei, UNC
11:55 AM
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Seqclock: Analysis Pipeline for Time Course Genomic Sequencing Experiments
Xuekui Zhang, Johns Hopkins University
12:05 PM
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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
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A Comparison of Methods for Estimating Confidence Intervals for Proportions in Clustered Surveys
Natalie Exner, Harvard University; Marcello Pagano, Harvard University
2:05 PM
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Analysis of Variance as a Basis for Sample Surveys
Andrew Vogt, Georgetown Univ; Dhiren Ghosh, Synectics for Management Decisions, Inc.
2:20 PM
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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
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Merging Mixture Components for Model-Based Clustering
Volodymyr Melnykov, The University of Alabama
3:05 PM
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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
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Tuesday, 08/06/2013
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MCMC Clustering and Its Convergence Issues
Namdar Homayounfar; Masoud Asgharian, McGill University; Vahid Partovi Nia, École Polytechnique Montréal
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Similar Items for New Shops
A. Santos, Etsy
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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
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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
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The Population Goal of Modal Clustering
Jose E. Chacon, Universidad De Extremadura
8:50 AM
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Customer Service Escalation Early Warning System: A Subsampling Approach
Jiabin Zhao, Cisco Systems
8:50 AM
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Distinctness Evaluation of Unknown Clustering Structure
Ewa Nowakowska, Institute of Computer Science, PAS
9:05 AM
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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
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Variable Selection with Overlapping Clustering
Thierry Chekouo Tekougang, The University of Texas MD Anderson Cancer Center; Alejandro Murua, University of Montreal
9:15 AM
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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
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Unsupervised Learning: Assessing Cluster Significance Through a Combination of Cross-Validation and Resampling
Werner Stuetzle, University of Washington
9:35 AM
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Density-Based Clustering Using a Stochastic Approximation Mean-Shift Algorithm
Ollivier Hyrien, University of Rochester
9:35 AM
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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
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Alternatives to Penalization for Sparse Models
Sarah Emerson, Oregon State University
9:50 AM
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Canonical K-Means Clustering for Constructing Moderator Importance Plots
Thaddeus Tarpey, Wright State University; Eva Petkova, New York University
10:35 AM
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Clustering to Strengthen a Categorical Instrument
Douglas Lehmann, University of Michigan; Yun Li, University of Michigan; Yi Li, University of Michigan
11:40 AM
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Regularized Matrix Decomposition and Its Applications
Jianhua Z. Huang, Texas A&M University
2:30 PM
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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
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Monitoring Joint Convergence of MCMC Samplers Using Cluster-Based Partitions
Douglas VanDerwerken, Duke University; Scott C. Schmidler, Duke University
2:50 PM
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Teaching Data Mining and Predictive Analytics to Undergraduates
Brant Deppa, Winona State University
3:05 PM
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Wednesday, 08/07/2013
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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
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Biclustering with the EM Algorithm
Prabhani Kuruppumullage Don, Penn State University; Bruce G. Lindsay, The Pennsylvania State University; Francesca Chiaromonte, Penn State University
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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
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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
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Model-Based Clustering of Gaussian Regression Time Series
Semhar Michael, The University of Alabama; Volodymyr Melnykov, The University of Alabama
10:50 AM
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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
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Deduplicating Text Records Using Clustering and Aggregation of Conditional Classifiers
Samuel Ventura, Carnegie Mellon University; Rebecca Nugent, Carnegie Mellon University
2:05 PM
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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
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Thursday, 08/08/2013
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Clustering and Classification of Multiple Sequences
Asif Shams Adnan, Jahangirnagar University; Mian Adnan, Jahangirnagar University; M Shamsuddin, Dhaka
9:05 AM
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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
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Clustering Tree-Structured Data on Manifold
Hongyu Miao, Department of Biostatistics, University of Rochester
10:50 AM
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'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
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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
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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
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Bayesian Clustering Using MCMC Sampling
Mahroo Vahidpour, Polytechnique Montréal; Vahid Partovi Nia, École Polytechnique Montréal
11:35 AM
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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
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Vertically Shifted Mixture Models for Clustering Longitudinal Data
Brianna Heggeseth, Williams College; Nicholas Jewell, University of California Berkeley
11:50 AM
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