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Keyword Search Criteria: clustering returned 76 record(s)
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Sunday, 08/08/2021
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Prediction of Dementia Types Using Machine Learning Methods
Chung-Chou H. Chang, University of Pittsburgh; Yueting Wang, University of Pittsburgh; Yichen Jia, University of Pittsburgh; Mary Ganguli, University of Pittsburgh
1:35 PM
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Model-Based Clustering of Trends and Cycles of Nitrate Concentrations in Rivers Across France
Matthew Heiner, Brigham Young University; Matthew J Heaton, Brigham Young University; Philip White, Brigham Young University; Benjamin Abbott, Brigham Young University; Camille Minaudo, Physics of Aquatic Systems Laboratory, Ecole Polytechnique Fédérale de Lausanne; Rémi Dupas, INRAe
2:00 PM
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One-Year Watch Use Patterns in the Electronic Framingham Heart Study
Chathurangi H. Pathiravasan, Department of Biostatistics, Boston University School of Public Health; Yuankai Zhang, Department of Biostatistics, Boston University School of Public Health; Xuzhi Wang, Department of Biostatistics, Boston University School of Public Health; Ludovic Trinquart, Department of Biostatistics, Boston University School of Public Health; Emelia J. Benjamin, Department of Epidemiology, Boston University Schools of Medicine and Public Health; Belinda Borrelli, Boston University Henry M Goldman School of Dental Medicine; David D. McManus, Department of Medicine, University of Massachusetts Medical School; Vik Kheterpal, Care Evolution; Honghuang H. Lin, Department of Medicine, Boston University School of Medicine; Michael M. Hammond, Institute's Framingham Heart Study; Nicole L. Spartano, Section of Endocrinology, Diabetes, Nutrition, and Weight Management, Boston University; Eric Schramm, Care Evolution; Chris Nowak, Care Evolution; Jelena Kornej, Framingham Heart Study; Chunyu Liu, Department of Biostatistics, Boston University School of Public Health; Joanne M. Murabito, Department of Medicine, Boston University School of Medicine
2:10 PM
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Euclidean Representation of Low-Rank Matrices and Intrinsic Perturbation Analysis with Applications to High-Dimensional Statistics
Fangzheng Xie, Indiana University
2:15 PM
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Model-Based Clustering of Multiple Two-Dimensional Functional Data Incorporating Covariates
Ying Cui, Emory University; Jeong Hoon Jang, Indiana University; Amita K. Manatunga, Emory University
2:20 PM
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Clustering Brain Extreme Communities from Multi-Channel EEG Data
Matheus Bartolo Guerrero, KAUST; Raphaël Huser, KAUST; Hernando Ombao, King Abdullah University of Science and Technology
2:20 PM
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Clustering Using Probabilistic JIVE with Gaussian Mixtures
Ganzhong Tian, Emory University; John Hanfelt, Emory University; Raphiel Murden, Emory University; Deqiang Qiu, Emory University; Benjamin Risk, Emory University
2:30 PM
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United States Army Installation Clustering
Dusty Turner, Center for Army Analysis; Ron Kollhof, Center for Army Analysis
2:40 PM
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Spectral Analysis of Networks with Latent Space Dynamics and Signs
Joshua Cape, University of Pittsburgh
2:55 PM
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Autoregressive Networks
Qiwei Yao, London School of Economics and Political Science
3:35 PM
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RZiMM-ScRNA: A Regularized Zero-Inflated Mixture Model Framework for Single-Cell RNA-Seq Data
William Bekerman, Department of Statistics and Data Science, Cornell University
3:40 PM
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MLG: Multilayer Graph Clustering for Multi-Condition ScRNA-Seq
Shan Lu, University of Wisconsin-Madison; Daniel Conn, University of Wisconsin-Madison; Shuyang Chen, University of Wisconsin-Madison; Kirby Johnson , University of Wisconsin-Madison; Emery Bresnick, University of Wisconsin-Madison; Sunduz Keles, University of Wisconsin, Madison
3:45 PM
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Microbial Metabolites and Microbiome in Vitamin D/Vitamin D Receptor Deficiency Are Associated with Obesity
Yinglin Xia, University of Illinois at Chicago; Jun Sun, University of Illinois at Chicago
3:55 PM
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How Can We Use Mixture, Multi-Process, and Other Multi-Dimensional Item Response Theory Models to Account for Midpoint and Extreme Response Style Use in Personality Assessment?
Michael Lucci, University of Pittsburgh at Greensburg
4:35 PM
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SPRUCE: Bayesian Multivariate Mixture Models for High-Throughput Spatial Transcriptomics Data Carter Allen
Carter Allen, The Ohio State University; Dongjun Chung, Ohio State University
4:40 PM
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Monday, 08/09/2021
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WITHRAWN: Identifying County Demographics Most Affected by COVID-19
Eric Christopher Browne, University of Denver; Isabel Osgood, University of Denver
10:15 AM
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Prediction of Relapse in Chronic Disease Using Fragmented Medical Records
Jiasheng Shi, University of Pennsylvania Perelman School of Medicine ; Jing Huang, University of Pennsylvania Perelman School of Medicine
10:25 AM
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Tensor Envelope Mixture Model for Simultaneous Clustering and Multiway Dimension Reduction
Kai Deng, Florida State University; Xin Zhang, Florida State University
11:05 AM
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Random Weighting Schemes for Bayesian Computation
Michael Newton, University of Wisconsin, Madison; Nicholas Polson, University of Chicago; Jianeng Xu, University of Chicago; Tun Lee Ng, University of Wisconsin, Madison
11:20 AM
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Subgroup Identification of Elderly Bladder Cancer Patients Based on Mental and Physical Scores: A Clustering Approach
Mojgan Golzy, University of Missouri-Columbia; Katie Murray, University of Missouri-Columbia
1:55 PM
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Inference in a Nonhomogeneous Multilayer Stochastic Block Model
Marianna Pensky, University of Central Florida
2:15 PM
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Multiomics-Based Tensor Decomposition for Breast Cancer Subtyping
Qian Liu, University of Manitoba; Bowen Cheng, University of Toronto; Pingzhao Hu, University of Manitoba
2:55 PM
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Tuesday, 08/10/2021
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Analysis of Professional Basketball Field Goal Attempts via a Bayesian Matrix Clustering Approach
Guanyu Hu, University of Missouri - Columbia; Weining Shen, University of California Irvine ; Fan Ying, Microsoft
10:05 AM
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Guard Me If You Can: Revealing the Hidden Dynamics of Sports Interactions Using the Intrinsic Dimension
Edgar Santos-Fernandez, Queensland University of Technology; Francesco Denti, University of California, Irvine; Kerrie Mengersen, Queensland University of Technology; Antonietta Mira, Università della Svizzera italiana and University of Insubria
10:55 AM
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Sketching in Bayesian High Dimensional Regressions with Big Data
Rajarshi Guhaniyogi, University of California, Santa Cruz; Aaron Wolfe Scheffler, University of California, San Francisco
10:55 AM
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Exact Clustering in Tensor Block Model: Statistical Optimality and Computational Limit
Rungang Han, University of Wisconsin-Madison; Yuetian Luo, University of Wisconsin-Madison; Miaoyan Wang, University of Wisconsin-Madison; Anru Zhang, University of Wisconsin-Madison
1:35 PM
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The Interplay of Demographic Variables and Social Distancing Scores in Deep Prediction of US COVID-19 Cases
Francesca Tang, Princeton University; Yang Feng, New York University; Hamza Chiheb, N/A; Jianqing Fan , Princeton University
1:35 PM
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Integrative Modeling of Massive Multiple-Domain Cancer Genomics Data Sets
Dongyan Yan, Eli Lilly and Company
1:45 PM
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Bayesian Nonparametric Analysis for the Detection of Spikes in Noisy Calcium Imaging Data
Laura D'Angelo, University of Padova; Michele Guindani, University of California Irvine; Antonio Canale, University of Padova; Zhaoxia Yu, University of California, Irvine
2:55 PM
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Flexible Clustering of High-Dimensional Data via Mixtures of Joint Generalized Hyperbolic Distributions
Paul D McNicholas, McMaster University
2:55 PM
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Wednesday, 08/11/2021
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Zero-Inflated Poisson Model with Clustered Regression Coefficients: An Application to Heterogeneity Learning of Field Goal Attempts of Professional Basketball Players
Hou-Cheng Yang, FDA
10:15 AM
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Creating a Data-Driven Taxonomy
Randall Powers, Bureau of Labor Statistics; Wendy Martinez, Bureau of Labor Statistics; Terrance Savitsky, Bureau of Labor Statistics
10:30 AM
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The Bethe Hessian and Information Theoretic Approaches for Online Change-Point Detection in Network Data
Jiarui Xu, Oregon State University; Neil Hwang, City University of New York - Bronx Community College; Sharmodeep Bhattacharyya, Oregon State University; Dr. Shirshendu Chatterjee, City University of New York
10:45 AM
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Simultaneous Curve Registration and Clustering of Digital Electrocardiogram
Wei Yang, University of Pennsylvania; Wensheng Guo, University of Pennsylvania
10:55 AM
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A Latent Class Functional Mixed Effects Model for Flexible Longitudinal Data Clustering
Tianhao Wang, Rush University Medical Center
11:20 AM
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On Scalable Estimation for Overlapping Clustering Models
Purnamrita Sarkar, University of Texas, Austin; Deepayan Chakrabarti, University of Texas at Austin
1:35 PM
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Skeleton Clustering: Dimension-Free Density-Based Clustering
Zeyu Wei, University of Washington, Department of Statistics; Yen-Chi Chen, University of Washington
1:35 PM
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A New Algorithm for Convex Biclustering and Its Extension to the Compositional Data
Binhuan Wang, NYU School of Medicine; Lanqiu Yao, New York University; Jiyuan Hu, New York University Grossman School of Medicine; Huilin Li, New York University Grossman School of Medicine
1:40 PM
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Adversarial Contamination of Networks: A New Trimming Method
Sheyda Peyman, University of Maryland; Vince Lyzinski, University of Maryland
1:40 PM
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A Penalized Model-Based Coclustering Algorithm
Chenchen Ma, University of Michigan; Gongjun Xu, University of Michigan; Ji Zhu, University of Michigan
1:50 PM
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Unsupervised Clustering of Aging Individuals Using Multi-Region Brain Transcriptomes
Annie J Lee, Columbia University; Yiyi Ma, Columbia University; Lei Yu, Rush Alzheimer Disease Center, Rush University Medical Center; Robert J. Dawe, Rush Alzheimer Disease Center, Rush University Medical Center; Konstantinos Arfanakis, Rush Alzheimer Disease Center, Rush University Medical Center; Richard Mayeux, Columbia University; Bennett David, Rush Alzheimer Disease Center, Rush University Medical Center; Hans-Ulrich Klein, Columbia University; Philip L. De Jager, Columbia University
1:55 PM
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Clustering and Directional Outlier Detection with Missing Information
Hung Tong, San Jose State University; Cristina Tortora, San Jose State University
2:00 PM
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How Many Clusters Are Best? Investigating Model Selection in Robust Clustering
Louis Tran, San Jose State University; Cristina Tortora, San Jose State University
2:05 PM
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Consistency of Privacy-Preserving Spectral Clustering of Block Models
Jonathan Hehir, Penn State University; Aleksandra Slavkovic, Penn State University; Xiaoyue Niu, Pennsylvania State University
2:10 PM
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Exchangeable Bayesian Matrix-Variate Hierarchical Clustering with Parallel Computation
Hsin-Hsiung Huang, University of Central Florida
2:20 PM
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Bayesian Semiparametric Longitudinal Drift-Diffusion Mixed Models for Tone Learning in Adults
Giorgio Paulon, The University of Texas at Austin; Abhra Sarkar, The University of Texas at Austin; Fernando Llanos, The University of Texas at Austin; Bharath Chandrasekaran, University of Pittsburgh
2:35 PM
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Kernel Smoothing, Mean Shift, and Their Learning Theory with Directional Data
Yikun Zhang, University of Washington, Seattle; Yen-Chi Chen, University of Washington
2:40 PM
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Bayesian Finite Mixture Regression Models with Cluster-Specific Variable Selection
Zhen Wang, University of Iowa; Aixin Tan, University of Iowa
2:40 PM
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Modeling Survey Nonresponse Under a Cluster Sample Design: Classification and Regression Tree Methodologies Compared
Michael Jones, Westat; William Everett Cecere, Westat; Tien-Huan Lin, Westat; Jennifer Kali, Westat; Ismael Flores Cervantes, Westat
3:10 PM
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Community Detection in Multi-Layer Networks
Zongming Ma, University of Pennsylvania; Shuxiao Chen, University of Pennsylvania; Sifan A. Liu, Stanford University
3:35 PM
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Partitioning Interval-Valued Data Using Regression
Lynne Billard, University of Georgia; Fei Liu, Bank of America
3:35 PM
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WITHDRAWN: On Model-Based Clustering of Directional Data with Heavy Tails and Outliers
Yingying Zhang, University of South Alabama; Volodymyr Melnykov, University of Alabama; Igor Melnykov, University of Minnesota Duluth
3:40 PM
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Gene Clustering Method for Multi-Omics Data: A Canonical Correlation and Weighted Correlation Network Analysis Approach
Ulrich Kemmo Tsafack, Medical College of Wisconsin; Kwang Woo Ahn, Medical College of Wisconsin; Chien-Wei Lin, Medical College of Wisconsin
4:05 PM
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A Sparse Negative Binomial Mixture Model for Clustering RNA-Seq Count Data
YUJIA LI, Department of Biostatistics, University of Pittsburgh; Tanbin Rahman, Department of Biostatistics, MD Anderson Cancer Center; Tianzhou Ma, Department of Epidemiology and Biostatistics, University of Maryland; Lu Tang, University of Pittsburgh; George Tseng, Department of Biostatistics, University of Pittsburgh
4:15 PM
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Clustering of Longitudinal Curves via a Penalized Method and EM Algorithm
Xin Wang, Miami University
4:20 PM
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A Clustering-Based Information Borrowing Under Local Multisource Exchangeability Assumption
Yilin Liu, Yale University; Wei Wei, Yale University
5:10 PM
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A Von Mises-Fisher Clustering Modeling for the Inference of Orientational Preferences of Protein Domains with Scattering Data
Seyed Morteza Najibi, Lund University; Ingemar Andre, Lund University
5:10 PM
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Thursday, 08/12/2021
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Understanding Spectral Embedding
Jianqing Fan , Princeton University
10:05 AM
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Optimal Design Construction with Respect to Several Probability Distributions Using Clustering Approach
Muditha Lakmali , University of Manitoba; Saumen Mandal, University of Manitoba
10:50 AM
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A Novel Bayesian Nonparametric Method to Use Real-World Data in Clinical Trials
Noirrit Kiran Chandra, University of Texas at Austin; Peter Mueller, University of Texas Austin
10:55 AM
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Efficient Clustering for Stretched Mixtures: Landscape and Optimality
Kaizheng Wang, Columbia University; Yuling Yan, Princeton University; Mateo Diaz, Cornell University
11:05 AM
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Temperature Clusters in Commercial Buildings Using K-Means and Time Series Clustering
Saman Muthukumarana, University of Manitoba; Matt Schaubroeck, ioAirFlow; Dan Loewen, ioAirFlow; Ashani Nuwanthika Wickramasinghe, University of Manitoba
11:05 AM
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Non-Smooth Bayesian Optimization in Tuning Problems
Hengrui Luo, Lawrence Berkeley National Laboratory; Yonghyun Cho, University of California, Berkeley; James Demmel, University of California, Berkeley; Xiaoye Li, Lawrence Berkeley National Laboratory; Yang Liu, Lawrence Berkeley National Laboratory
11:15 AM
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Multivariate Bayesian Clustering Using Covariate-Informed Components with Application to Boreal Vegetation Sensitivity
Henry Scharf, San Diego State University
12:05 PM
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Density-Based Interpretable Hypercube Region Partitioning for Mixed Numeric and Categorical Data
Samuel Ackerman, IBM Research, Haifa
12:15 PM
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Evaluating Possible Compensatory Mechanisms of Placenta MiRNA Expression Using Regression-Based Clustering
Bo NMN Zhang, University of Kansas Medical Center; Prabhakar Chalise, University of Kansas Medical Center; Jinxiang Hu, University of Kansas Medical Center; Jianghua He, University of Kansas Medical Center; Amber Burt, Department of Environmental Health, Rollins School of Public Health, Emory University ; Elizabeth Kennedy, Emory Winship Cancer Institute; Carmen Marsit, Emory Winship Cancer Institute; Devin C Koestler, University of Kansas Medical Center
1:00 PM
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Cluster-Wise Variational Approach to Variable Selection
Liangrui Sun, University of Nebraska - Lincoln; Qi Zhang, University of New Hampshire
2:15 PM
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Identification of Subgroups Using Multivariate Longitudinal Data: A Comparison of Model-Based Clustering, K-Means Clustering, and Deep Learning Approaches
Benjamin E Leiby, Thomas Jefferson University; Jobayer Hossain, Nemours Children's Health System
2:30 PM
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Optimal Partitioning for the Proportional Hazards Model
Usha Govindarajulu, Ichan School of Medicine at Mount Sinai; Thaddeus Tarpey, NYU
2:40 PM
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Optimal Linear Transformations of Functional Data for Clustering Methods
Hanchao Zhang, New York University Grossman School of Medicine
3:05 PM
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Covariate-Assisted Sparse Tensor Completion and Inference
Hilda Somnooma Ibriga, Purdue University; Will Wei Sun, Purdue University
3:05 PM
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An Efficient Monte Carlo EM Algorithm for Estimating Heterogenous Crossed Effects in GLMM
Rashmi Ranjan Bhuyan, University of Southern California; Gourab Mukherjee, University of Southern California; Wreetabrata Kar, Purdue University
4:10 PM
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Learning Trends of COVID-19 Using Semi-Supervised Clustering
Semhar Michael, South Dakota State University
4:15 PM
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Some Results on Identifiable Parameters That Cannot Be Identified from Data, Including Constant Correlation Between Gaussian Observations
Christian Hennig, University of Bologna
4:35 PM
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Novel Entropy-Based Criterion in the Selection of Clusters of a Biological Network Structure
Gul Bahar Bulbul, BGSU
4:45 PM
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Aggregated Functional Data Model Applied on Clustering and Disaggregation of Electrical Load Profiles
Camila P. E. de Souza, The University of Western Ontario; Gabriel Franco de Souza, University of Campinas; Nancy L. Garcia, University of Campinas
5:35 PM
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