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Keyword Search Criteria: Mixture returned 94 record(s)
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Sunday, 07/29/2018
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Addressing Overfitting in Mixtures of Factor Analyzers
Jeffrey L Andrews, University of British Columbia Okanagan
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Two Mixture-Based Clustering Approaches: Modeling an Automobile Insurance Portfolio
Tatjana Miljkovic, Miami University; Daniel Fernandez, Victoria University of Wellington
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Mixtures of Contaminated Shifted Asymmetric Laplace Factor Analyzers
Brian C Franczak, MacEwan University
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A Model-Based Clustering to Identify Disease-Associated SNPs
Li Xing, University of Victoria; Xuekui Zhang, University of Victoria; Yan Xu, University of Victoria; Weiliang Qiu, Brigham and Women's Hosptial/Harvard Medical School
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A Grouped Weighted Quantile Regression Approach to Modeling Environmental Chemical Mixtures and Childhood Leukemia Risk
David C. Wheeler, Virginia Commonwealth University
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The Analysis of Face Perception MEG and EEG Data Using a Potts-Mixture Spatiotemporal Joint Model
Yin Song, University of Victoria; Farouk Nathoo; Arif Babul, University of Victoria
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Finite Mixture-Of-Gamma Distributions: Estimation, Inference, and Model-Based Clustering
Derek S. Young, University of Kentucky; Xi Chen, University of Kentucky; Dilrukshi Hewage, University of Kentucky; Ricardo N. Poyanco, FONDAP Center for Genome Regulation
2:20 PM
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Designing Trials Using Bayesian Methods with Historical Controls
Michael Sonksen, Eli Lilly and Company
2:25 PM
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Mixture Model Modal Clustering
Jose Chacon, Universidad De Extremadura
2:35 PM
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A Multiseason Site Occupancy Model for Use When Sites Are Not Revisited Among Seasons
Brian R Gray, US Geological Survey; Darryl I MacKenzie, Proteus Wildlife Research Consultants; Richard A Erickson, US Geological Survey
2:45 PM
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Hierarchical Significance Testing for Gaussian Mixture Clustering
Purvasha Chakravarti, Carnegie Mellon University; Larry Wasserman, Carnegie Mellon University; Sivaraman Balakrishnan, Carnegie Mellon University
3:05 PM
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Joint Modeling of Longitudinal Multidimensional Quality of Life Measures in Chronic Dialysis Patients
Sudeshna Paul, Emory University; Mi-Kyung Song, Emory University
3:05 PM
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A Mixture of Matrix Variate Bilinear Factor Analyzers
Paul McNicholas, McMaster University
4:05 PM
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Modeling of Sediment Mixing Using Dirichlet Process Mixtures
John Tipton, University Of Arkansas; Glenn Sharman, University Of Arkansas; Sam Johnstone, United States Geological Survey
4:20 PM
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Model Based Clustering via Copula and Applications
Marta Nai Ruscone, LIUC
4:50 PM
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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
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A Score Test for Latent Class in Left-Censored Data Due to Detection Limit
Hua He; Wan Tang, School of Public Health and Tropic Medicine, Tulane Univeristy
5:20 PM
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Variable Selection in Semiparametric Transformation Cure Models with Right-Censored Data
Wenyan Zhong
5:25 PM
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Monday, 07/30/2018
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Graph-Based Mixture Model: a Bayesian Approach to Combine Clustering and Hypothesis Testing
Tien Vo, University of Wisconsin - Madison; Vamsi Ithapu, University of Wisconsin - Madison; Vikas Singh, University of Wisconsin - Madison; Michael Newton, University of Wisconsin at Madison
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A Generalized Fellegi-Sunter Framework for Unsupervised Collective Record Linkage in Clustered Relational Data with Applications to Electronic Health Records
Nicole Solomon, Duke University Medical Center; Sean M O'Brien, Duke University Medical Center; Joseph Lucas, Duke University
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Structured Mixture of Linear Mappings in High Dimension
Chun-Chen Tu, University of Michigan; Florence Forbes, INRIA; Benjamin Lemasson, Universit ´e Grenoble; Naisyin Wang, U of Michigan
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Determining Whether Mixtures of Environmental Chemicals Are Sufficiently Similar via Dimension-Reduction and Clustering
David Umbach, National Institute of Environmental Health Sciences; Caroll A. Co, Social & Scientific Systems, Inc.; Gregg E Dinse, Social & Scientific Systems, Inc.; Grace E Kissling, National Institute of Environmental Health Sciences; Keith R. Shockley, National Institute of Environmental Health Sciences; Marjo V. Smith, Social & Scientific Systems, Inc.
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Classification Accuracy of Unsupervised Learning Methods with Discrete and Mixture Distributed Indicators: a Monte Carlo Simulation Study
Chi Chang
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Geometric Sensitivity Measures for Nonparametric Bayesian Models in Density Estimation
Abhijoy Saha, The Ohio State University; Sebastian Kurtek, The Ohio State University; Karthik Bharath, The University of Nottingham
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Bayesian Model Selection for Markov Chains Using Sparse Probability Vectors
Matthew Heiner, UC Santa Cruz; Athanasios Kottas, UC Santa Cruz; Stephan Munch, NOAA
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Assessing the Uncertainty Due to Chemicals Below the Detection Limit in Chemical Mixture Estimation
Paul Hargarten, VCU; David C. Wheeler, Virginia Commonwealth University
9:05 AM
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Changing Mixtures Does Not Always Change Margins: An Application to Single-Cell RNA-Seq
Michael Newton, University of Wisconsin at Madison; XIuyu Ma, University of Wisconsin at Madison; Christina Kendziorski, University of Wisconsin - Madison
9:25 AM
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A Weighted Dirichlet Process Mixture Modeling for Functional Clustering
Wenyu Gao, Virginia Tech; Inyoung Kim, Virginia Tech
10:35 AM
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Geometric Sensitivity Measures for Nonparametric Bayesian Models in Density Estimation
Abhijoy Saha, The Ohio State University; Sebastian Kurtek, The Ohio State University; Karthik Bharath, The University of Nottingham
10:40 AM
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Semiparametric Bayes Model for Multidimensional Instrumental Variables
Ryo Kato, Keio University; Takahiro Hoshino, Keio University
11:05 AM
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Moral Hazard Effects of Bank Resolution Policies: Inferences from a Bayesian Nonparametric Study
Padma Sharma, UC Irvine
11:20 AM
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Uncertainty Quantification of Injury Risk Measures
Dorin Drignei, Oakland University
11:35 AM
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Hierarchical Mixture Modeling for Multiple Testing and Effect Size Estimation in Voxel-Level Inference of Neuroimaging Data
Ryo Emoto, Nagoya University Graduate School of Medicine; Atsushi Kawaguchi, Saga University; Hisako Yoshida, Saga University; Shigeyuki Matsui, Nagoya University
11:35 AM
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Bayesian Model Selection for Markov Chains Using Sparse Probability Vectors
Matthew Heiner, UC Santa Cruz; Athanasios Kottas, UC Santa Cruz; Stephan Munch, NOAA
12:00 PM
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SAME-Clustering: Single-Cell Aggregated Clustering via Mixture Model Ensemble
Ruth Huh, University of North Carolina at Chapel Hill; Yuchen Yang, University of North Carolina at Chapel Hill; Houston Culpepper, University of North Carolina at Chapel Hill; Yun Li, University of North Carolina at Chapel Hill
2:05 PM
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Determinantal Point Process Mixtures via Spectral Density Approach
Fernando Quintana, Pontificia Universidad Catolica De Chile; Alessandra Guglielmi, Politecnico de Milano; Ilaria Bianchini, Politecnico de Milano
2:25 PM
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Estimation of Parameters of a Mixture of Two Exponential Distributions
Trijya Singh
2:35 PM
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Practical Bayesian Inference for Record Linkage
Brendan McVeigh, Carnegie Mellon University; Jared S Murray, University of Texas at Austin
2:45 PM
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Dynamic Variable Selection with Spike-And-Slab Process Priors
Kenichiro McAlinn, University of Chicago; Veronika Rockova, University of Chicago
2:45 PM
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Bayesian Nonparametric Differential Analysis with Application to Colorectal Cancer DNA Methylation
Chiyu Gu, University of Missouri; Subharup Guha, University of Florida; Veera Baladandayuthapani, UT MD Anderson Cancer Center; Jeffrey S Morris, The University of Texas M.D. Anderson Cancer Center
3:05 PM
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Analysis of Resting-State Functional Brain Connectivity Using a Hierarchical Bayesian Mixture Model
Anders Lundquist, Umea University; Tetiana Gorbach, Umeå University; Xavier de Luna, Umeå University; Lars Nyberg, Umeå University; Alireza Salami, Karolinska Institute
3:05 PM
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Homogeneity Test Under Finite Mixture with Multi-Dimensional Parameter Kernel
Ho Yin Ho, University of British Columbia; Jiahua Chen, University of British Columbia
3:05 PM
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Tuesday, 07/31/2018
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Subset Testing and Analysis of Multiple Phenotypes
Andriy Derkach, National Cancer Institute; Ruth Pfeiffer , National Cancer Institute
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Distributions of Time to First Spot Fire
Trevor Thomson, Simon Fraser University
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Model-Based Cluster Analysis and Outlier Detection
Cristina Tortora, San Jose State University; Antonio Punzo, University of Catania
8:35 AM
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Subset Testing and Analysis of Multiple Phenotypes
Andriy Derkach, National Cancer Institute; Ruth Pfeiffer , National Cancer Institute
8:35 AM
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The Myth of Making Inference for Overall Treatment Efficacy with Data from Multiple Studies via Meta-Analysis
Brian Claggett, Harvard Medical School
8:55 AM
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Grouping Trajectories of Unbalanced Longitudinal Data: a Comparison Between Growth Curve Mixture Models and Clustering BLUPs from Mixed Effects Models
Md Hossain, Nemours Biomedical Research, A.I. DuPont Children's Hospital; Benjamin Leiby, Thomas Jefferson University
9:05 AM
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A Bayesian Nonparametic Approach to Multistate Models
Richard Warr, Brigham Young University
9:15 AM
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Constructing Cosmological Emulators from a Mixture of Complete and Partial Simulation Results
Earl Christopher Lawrence, Los Alamos National Laboratory
10:35 AM
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Distributions of Time to First Spot Fire
Trevor Thomson, Simon Fraser University
10:45 AM
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Individualized Treatment Effects with Censored Data via Fully Nonparametric Bayesian Accelerated Failure Time Models
Nicholas Henderson, Johns Hopkins University
11:35 AM
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Estimating Partial Correlations Between Logged HIV-RNA Measurements Subject to Detection Limits
Robert Lyles, Emory University
2:05 PM
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Performance of Pattern Mixture Model Estimators with and Without Patient-Level Imputation
Bohdana Ratitch, IQVIA; Ilya Lipkovich, IQVIA; Michael O'Kelly, IQVIA
2:30 PM
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Interval Estimation for the Slope Difference in a Normal Mixture Regression Model
Shin-Fu Tsai, National Taiwan University
2:35 PM
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Heterogeneous Tail Generalized COMFORT Modeling via Cholesky Decomposition
Pawel Polak, Columbia University
2:35 PM
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Spatial Semiparametric Spectral Density Estimation for Multivariate Extremes
Mauricio Nascimento, Pennsylvania State University; Benjamin Shaby, Penn State University
3:05 PM
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Scale Mixture for Extremal Dependence Model
Likun Zhang, Penn State University; Benjamin Shaby, Penn State University
3:20 PM
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Wednesday, 08/01/2018
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SAME-Clustering: Single-Cell Aggregated Clustering via Mixture Model Ensemble
Ruth Huh, University of North Carolina at Chapel Hill; Yuchen Yang, University of North Carolina at Chapel Hill; Houston Culpepper, University of North Carolina at Chapel Hill; Jin Szatkiewicz, University of North Carolina at Chapel Hill; Yun Li, University of North Carolina at Chapel Hill
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Variable Selection and Cluster Identification Using Mixture of Regression Trees
Emanuele Mazzola, Dana-Farber Cancer Institute; Mahlet Tadesse, Georgetown University; Giovanni Parmigiani , Harvard T.H. Chan School of Public Health / Dana-Farber Cancer Institute
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Statistical Approaches to Assess Early Life Exposure to Complex Mixtures and Associations with Latent Patterns of Neurodevelopmental Trajectories
Shelley H. Liu, Icahn School of Medicine at Mount Sinai; Brent A. Coull, Harvard TH Chan School of Public Health; Robert Wright, Icahn School of Medicine at Mount Sinai
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Reducing the Effects of Misclassification in Sequential Multiple Assignment Randomized Trials (SMART)
Jun He, Virginia Commonwealth University; Donna McClish, Virginia Commonwealth University; Roy T Sabo, Virginia Commonwealth University
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Simulation-Based Uncertainty Quantification for Optimal Estimation Remote Sensing Retrievals
Amy Braverman, Jet Propulsion Laboratory; Jonathan Hobbs, Jet Propulsion Laboratory
8:35 AM
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Statistical Approaches to Assess Early Life Exposure to Complex Mixtures and Associations with Latent Patterns of Neurodevelopmental Trajectories
Shelley H. Liu, Icahn School of Medicine at Mount Sinai; Brent A. Coull, Harvard TH Chan School of Public Health; Robert Wright, Icahn School of Medicine at Mount Sinai
8:50 AM
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A Simulation Study of Process Capability Analysis on Processes with Multiple Normal Distributions
Laura Lancaster, SAS Institute Inc.
8:50 AM
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Bayesian Semiparametric Threshold Regression
Jonathan Race; Michael Pennell, Ohio State University
8:55 AM
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ScImpute: Accurate and Robust Imputation for Single Cell RNA-Seq Data
Jingyi Li, University of California, Los Angeles; Wei Li, University of California, Los Angeles
8:55 AM
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Mixtures of Poisson Regressions with Measurement Errors
Xiaoqiong Fang; Derek S. Young, University of Kentucky
9:05 AM
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Semiparametric Estimation of the Cure Fraction in Population-Based Cancer Survival Analysis
Ennan Gu, University of South Carolina; Jiajia Zhang, University of South Carolina
9:05 AM
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Variable Selection and Cluster Identification Using Mixture of Regression Trees
Emanuele Mazzola, Dana-Farber Cancer Institute; Mahlet Tadesse, Georgetown University; Giovanni Parmigiani , Harvard T.H. Chan School of Public Health / Dana-Farber Cancer Institute
9:15 AM
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Nonstationary Flood Frequency Analysis: a Mixed and Pooled Approach
Philip Yates, DePaul University; John Grego, University of South Carolina
9:50 AM
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Examining Non-Stationarity in Spatial Processes via an M-RA and Mixture Priors
Veronica J. Berrocal, University of Michigan
10:05 AM
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Reducing the Effects of Misclassification in Sequential Multiple Assignment Randomized Trials (SMART)
Jun He, Virginia Commonwealth University; Donna McClish, Virginia Commonwealth University; Roy T Sabo, Virginia Commonwealth University
10:10 AM
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Evaluating the Statistical Properties of Bayesian Basket Trial Designs
Kristen May Cunanan, Memorial Sloan Kettering Cancer Center; Alexia Iasonos, Memorial Sloan Kettering Cancer Center; Ronglai Shen, Memorial Sloan-Kettering Cancer Center; Colin B Begg, Memorial Sloan Kettering Cancer Center; Mithat Gonen, Memorial Sloan Kettering Cancer Center
10:35 AM
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Semiparametric Mixture Regression Under a Symmetric Unimodal Error Distribution
Linden Yuan, University of Maryland
10:35 AM
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Penalized Multiple Inflated Values Selection Method with Application to SAFER Data
Qiuya Li, City University of Hong Kong; Kwok Fai TSO, City University of Hong Kong; Yang Li, Renmin University of China; Yichen Qin, University of Cincinnati; Travis Lovejoy, Oregon Health and Science University; Timothy Heckman, University of Georgia
10:35 AM
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Learning the Number of Components and Data Clusters in Bayesian Finite Mixture Models
Bettina Grün, Johannes Kepler Universität; Gertraud Malsiner-Walli, Wirtschaftsuniversität Wien; Sylvia Frühwirth-Schnatter, Wirtschaftsuniversität Wien
10:35 AM
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Robust Clustering Using Power Posteriors: Calibration and Inference
Jeffrey Miller, Harvard School of Public Health; David B Dunson, Duke University
10:55 AM
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Nonparametric Mixture Modeling on Constrained Spaces
Putu Ayu Sudyanti, Purdue; Vinayak P Rao, Purdue University
11:35 AM
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Bayesian Variable Selection Using Spike and Slab Prior with Application to High-Dimensional EEG Data by Local Modeling
Shariq Mohammed, University of Connecticut; Dipak Kumar Dey, University of Connecticut; Yuping Zhang, University of Connecticut
11:50 AM
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Applications of the Mixturegram for Determining the Number of Components in Finite Mixture Models
Chenlu Ke, University of Kentucky; Derek S. Young, University of Kentucky; Xiaoxue Zeng, Apple. Inc
2:35 PM
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Thursday, 08/02/2018
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Jeffreys Priors and Alternative Noninformative Solutions for Location-Scale Mixtures
Christian Robert, Universite Paris-Dauphine; Clara Grazian, University of Oxford
8:35 AM
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Measure Specific Mixture Model (MSM2) for Change Detection
Fairul Mohd-Zaid, Air Force Research Lab; Christine Schubert Kabban, Air Force Institute of Technology
8:35 AM
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Anchored Bayesian Gaussian Mixture Models
Deborah Kunkel, The Ohio State University; Mario Peruggia, The Ohio State University
9:00 AM
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Partition Mixture of 1D Wavelets for Multi-Dimensional Data with Application to Image Analysis
Li Ma, Duke University; Meng Li, Rice University
9:15 AM
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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
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A Test of Homogeneity for Two-Sample, Two-Component Mixture Models
Ollivier Hyrien, Fred Hutchinson Cancer Research Center
9:15 AM
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A Mathematical Framework for Uncertainty Quantification in Multimodal Image Analysis via Probabilistic Clustering Models
Maximillian Chen, Sandia National Laboratories; David John Stracuzzi, Sandia National Laboratories; Michael Christopher Darling, Sandia National Laboratories
9:20 AM
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Statistical Inference for Interaction Effects in Unreplicated Studies via Bayesian Model Averaging
Christopher Franck, Virginia Tech
9:20 AM
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Bayesian Variable Selection in Subgroup Analysis
Juan Shen, Fudan University; Naveen Naidu Narisetty, University of Illinois at Urbana Champaign; Xuming He, University of Michigan
9:25 AM
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Bayesian Extrapolation in Pediatric Clinical Trials
Mehreteab F Aregay, Novartis; David Ohlssen, Novartis; Heinz Schmidli, Novartis Pharamceutical Corporation
10:05 AM
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Simultaneous Edit and Imputation for Household Data with Structural Zeros
Olanrewaju Michael Akande, Duke University; Jerome P. Reiter, Duke University; Andrés Barrientos, Duke University
10:50 AM
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Density estimation via hierarchies of nonparametric priors
Igor Pruenster, Bocconi University
10:55 AM
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Identification of Missing Mechanism in an Incomplete Two-Way Contingency Table with Two Supplemental Margins
Saebom Jeon, Mokwon University
11:35 AM
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