Keyword Search
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* = applied session ! = JSM meeting theme
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Keyword Search Criteria: Poisson returned 47 record(s)
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Monday, 07/31/2017
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A Bayesian Mixture Model for Clustering and Selection of Feature Occurrence Rates Under Mean Constraints
Qiwei Li, Rice University; Michele Guindani, University of California, Irvine; Brian Reich, NCSU; Howard Bondell, NC State University; Marina Vannucci, Rice University
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Objective Bayesian Modeling of Count Data
Si Cheng, University of Cincinnati; Xia Wang, University of Cincinnati
8:50 AM
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A Bayesian Mixture Model for Clustering and Selection of Feature Occurrence Rates Under Mean Constraints
Qiwei Li, Rice University; Michele Guindani, University of California, Irvine; Brian Reich, NCSU; Howard Bondell, NC State University; Marina Vannucci, Rice University
9:15 AM
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Hidden Markov Model Using Transaction Patterns for ATM Card Fraud Detection
Alfred Akinsete, Marshall University; Bridget Nkemnole, University of Lagos
9:35 AM
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Optimal Design of Experiments with the Observation Censoring Driven by Random Enrollment of Subjects
Xiaoqiang Xue; Valerii Fedorov, ICONplc
9:50 AM
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Modeling Computer Network Data Using Markov Modulated Poisson Processes
Mark Briers, Alan Turing Institute
11:25 AM
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Poisson Cokriging as a Generalized Linear Mixed Model, Applications in Public Health
Lynette Smith, University of Nebraska Medical Center
11:35 AM
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Bayesian Modeling and Decision Theory for Non-Homogeneous Poisson Point Processes
Jiaxun Chen, University of Missouri-Columbia; Athanasios Micheas, Univ of Missouri- Columbia; Scott H. Holan, University of Missouri
12:05 PM
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METHODOLOGICAL CHALLENGES in the ANALYSIS of LONGITUDINAL RNASEQ DATA
Roula Tsonaka, Leiden University MC
2:20 PM
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Tuesday, 08/01/2017
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Conway-Maxwell-Poisson Process Implementation in R
Diag Davenport, Georgetown University; Kimberly F Sellers, Georgetown University; Darcy Morris, Center for Statistical Research & Methodology, U.S. Census Bureau; Li Zhu, Georgetown University
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A Robust Estimator for Poisson Mean with Zero-Inflation and Contamination
Xiaotian Wu, Brown University; Yi Zhang, Brown University; Zhijin Wu, Brown University
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Adaptive Bayesian Modeling and Prediction of Patient Accrual with Varying Activation Time in Multicenter Clinical Trials
Junhao Liu, University of Kansas Medical Center; Yu Jiang, School of Public Health, University of Memphis; Jo Wick, University of Kansas Medical Center; Byron Gajewski, Department of Biostatistics, University of Kansas Medical Center
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Sample Size Calculation for the Generalized Poisson Regression Model Comparing Two Rates of Recurrent Events
Kimitoshi Ikeda, Amgen Astellas BioPharma K.K.
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Small Area Models for Over-Dispersed Poisson Counts
Jerry Maples, U.S. Census Bureau; Adam Maidman, University of Minnesota
8:55 AM
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Sample Size Calculation for the Generalized Poisson Regression Model Comparing Two Rates of Recurrent Events
Kimitoshi Ikeda, Amgen Astellas BioPharma K.K.
9:50 AM
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Developments and Comparisons Between Markov Chain Monte Carlo and Integrated Nested Laplace Approximations in the Censored Poisson Model
Xiao Yu, University of Texas Health Science Center at Houston; Lung-chang Chien, University of Nevada, Las Vegas
10:05 AM
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Adaptive Bayesian Modeling and Prediction of Patient Accrual with Varying Activation Time in Multicenter Clinical Trials
Junhao Liu, University of Kansas Medical Center; Yu Jiang, School of Public Health, University of Memphis; Jo Wick, University of Kansas Medical Center; Byron Gajewski, Department of Biostatistics, University of Kansas Medical Center
10:40 AM
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CUSUM for Counts: Power Considerations and the Low-Count Regime
James Lucas, J M Lucas & Associates; Darwin Davis, Dept of Business Admin. Lerner College of B & E; Erwin M. Saniga, University of Delaware ; Thomas P. McWilliams, Drexel University
10:50 AM
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Introducing a Flexible Zero-Inflated Count Model to Address Data Dispersion
Kimberly F Sellers, Georgetown University; Andrew Raim, U.S. Census Bureau
2:05 PM
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A Multicollinearity-Adjusted Adaptive LASSO for Zero-Infated Count Regression
Prithish Banerjee, Wayne State University School of Medicine; Broti Garai, West Virginia University; Shrabanti Chowdhury, Wayne State University; Himel Mallick, Harvard University
2:45 PM
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Registration for Exponential Family Functional Data
Julia Wrobel, Columbia University, Department of Biostatistics; Jeff Goldsmith, Columbia University
2:50 PM
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Bayesian Spatial Stream Network Models
Kristin Broms, Colorado State University; Mevin Hooten, Colorado State University; Ryan M. Fitzpatrick, Colorado Parks and Wildlife
2:50 PM
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Bayesian Multiple-Inflation Poisson Regression for Infection Data
Duchwan Ryu, Northern Illinois University; Devrim Bilgili, University of North Florida; Önder Ergönül, Koc ? University, Istanbul, Turkey; Nader Ebrahimi, Northern Illinois University
3:25 PM
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Wednesday, 08/02/2017
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A GARCH Type Poisson Model for Time Series of Counts with Cyclically Varying Zero Inflation
Isuru Ratnayake, Missouri University of Science and Technology; V A Samaranayake, Missouri University of Science and Technology
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Modeling Overdispersed Count Data with the Poisson-Inverse Gaussian Distribution
Kimberly Weems, North Carolina Central University; Paul Smith, University of Maryland
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Zero-Inflated Model: Is it Sufficient for Estimating Excess Zeros?
Charles Rose, CDC
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Zero-Inflated Model: Is it Sufficient for Estimating Excess Zeros?
Charles Rose, CDC
8:35 AM
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Highest Posterior Mass Prediction Intervals for Binomial and Poisson Distributions
Kalimuthu Krishnamoorthy, Univ of Louisiana
8:50 AM
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Probability of Detection of Target Nucleic Acid Sequence with PCR Assay in Molecular Diagnostics: Math Model Derivation, Validation and Applications
Jeffrey Vaks, Roche Molecular Diagnostics
9:05 AM
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Inference for COM-Poisson Cure Rate Model with Interval Censored Data
Suvra Pal, University of Texas Arlington - Arlington, TX; Narayanaswamy Balakrishnan, McMaster University
9:50 AM
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Empirical Null Estimation Using Zero Inflated Discrete Mixture Distributions and Its Application to Protein Domain Data
Iris Ivy Gauran; Junyong Park, University of Maryland at Baltimore County; DoHwan Park, University of Maryland, Baltimore County; Maricel Kann, University of Maryland, Baltimore County; Thomas Peterson, University of Maryland, Baltimore County; John Zylstra, University of Maryland, Baltimore County; John Spouge, NCBI,NLM,NIH; Johan Lim, Seoul National University
10:05 AM
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Inflated Values Selection Method on Multiple-Inflated Poisson Model
Qiuya Li; Kwok Fai Geoffrey TSO, City University of Hong Kong; Yichen Qin, University of Cincinnati; Yang Li, Renmin University of China
10:35 AM
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A Time Series Model for Boolean Random Sets
Khalil Shafie, University of Northern Colorado; Mostafa Zahed, University of Northern Colorado
10:50 AM
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WHY IS ROAD SAFETY BETTER UNDER DRIVING IMPAIRMENT DUE to BOTH MARIJUANA and ALCOHOL THAN EACH SEPARATELY? DATA ANALYTICS ANSWERS,Ramalingam Shanmugam1, Ram C. Tripathi2 and Karan
Ramalingam Shanmugam, Texas State University; Ram Tripathi, UTSA, Texas; Karan Singh, UT-Tyler
11:20 AM
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Non-Parametric Bayesian Change-Points Methods for Detecting Driving Risk Changes
Qing Li, Univ. of Wisconsin-Madison; Feng Guo, Virginia Tech; Inyoung Kim, Virginia Tech
11:35 AM
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A Score Test for Over-Dispersion in Marginalized Zero-Inflated Poisson Regression Models
Gul Inan, Middle East Technical University; John Preisser, University of North Carolina-Chapel Hill; Kalyan Das, University of Calcutta
11:35 AM
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Bayesian Nonparametric Models for Identification of Differential Genomic Signatures
Chiyu Gu; Subharup Guha, University of Missouri; Veera Baladandayuthapani, University of Texas MD Anderson Cancer Center
2:50 PM
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Shrinkage Priors for Poisson-Based Models and Their Applications
Fumiyasu Komaki, The University of Tokyo
3:05 PM
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Poisson-Kernel Based Clustering on the Sphere: Convergence Properties, Initialization Rules and a Method of Sampling
Mojgan Golzy, State University of New York At Buffalo; Marianthi Markatou, University at buffalo, Department of Biostatistics; Alexander Foss, State University of New York at Buffalo
3:20 PM
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