JSM 2016 Online Program

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Sessions Were Renumbered as of May 19.

Legend:
CC-W = McCormick Place Convention Center, West Building,   CC-N = McCormick Place Convention Center, North Building
H = Hilton Chicago,   UC= Conference Chicago at University Center
* = applied session       ! = JSM meeting theme

Keyword Search Criteria: Likelihood returned 138 record(s)

Sunday, 07/31/2016

Viewing a Permutation as a Measure on the Unit Square
Sumit Mukherjee, Columbia University
2:05 PM

On the Different Classes of Forensic Identification of Source Problems
Christopher Saunders, MITRE/South Dakota State University; Cedric Neumann, San Diego State University; Danica Ommen, South Dakota State University
2:05 PM

Ebola Vaccine Update: Data Analysis Challenges in Developing the Ebola Vaccine
Kenneth Liu, Merck
2:20 PM

The Spike and Slab Lasso
Veronika Rockova, The Wharton School; Edward I. George, The Wharton School
2:30 PM

On Likelihood Ratio Tests in Dimensionality-Restricted Models
Mingyue Gao; Michael Trosset, Indiana University; Carey Priebe, The Johns Hopkins University
2:50 PM

Model Fitting with Distributed Data
Balasubramanian Narasimhan Narasimhan, Stanford University
2:55 PM

Estimating High-Dimensional Multi-Layered Networks Through Penalized Maximum Likelihood
George Michailidis, University of Florida
3:05 PM

A Penalized Likelihood Approach for Heteroscedastic Linear Models
Kwame Kankam, Penn State University; James Rosenberger, Penn State University
3:05 PM

Survival Mediation Analysis Using Semiparametric Probit Models with Application to Integrative Genomics
Yen-Tsung Huang, Brown University; Tianxi Cai, Harvard
3:20 PM

Detecting Publication Bias in Multivariate Random-Effects Meta-Analysis
Chuan Hong, The University of Texas Health Science Center at Houston; Haitao Chu, University of Minnesota ; Yong Chen, University of Pennsylvania Perelman School of Medicine
4:05 PM

Modeling with Bivariate Geometric Distributions
Jing Li
4:05 PM

Maximum Likelihood Estimation and EM Algorithm of Copas Selection Model for Publication Bias Correction
Jin Piao, The University of Texas Health Science Center at Houston; Jing Ning, MD Anderson Cancer Center; Yong Chen, University of Pennsylvania Perelman School of Medicine
4:20 PM

Copula Random Field with Application to Longitudinal Neuroimaging Data Analysis
Peter X. K. Song, University of Michigan; Jian Kang, University of Michigan
4:30 PM

Optimal Designs for Logistic Mixed Models Using Penalized Quasi-Likelihood Method
Wanchunzi Yu, Arizona State University; John Stufken, Arizona State University; Zhongshen Wang, Arizona State University
4:35 PM

Efficient Robust Regression with Variable Selection via Generalized Empirical Likelihood
Sohini Raha, North Carolina State University; Howard Bondell, North Carolina State University
4:35 PM

Model Fitting and Optimal Design for a Class of Binary Response Models
Subir Ghosh, University of California at Riverside; Hans Nyquist, Stockholm University
4:50 PM

Asymptotic Relative Efficiency for Robust Estimation of the Mean of Contaminated Graphs Under a Low Rank Model
Runze Tang, The Johns Hopkins University; Minh Tang, The Johns Hopkins University; Michael Ketcha, The Johns Hopkins University; Carey Priebe, The Johns Hopkins University; Joshua Vogelstein, The Johns Hopkins University
4:50 PM

Fully Efficient and Outlier-Robust Estimation in the Linear Mixed Model
Won Gyo Suh, North Carolina State University; Howard Bondell, North Carolina State University
5:05 PM

Censored Local Likelihood Inference for Modeling Nonstationarity in Spatial Extremes
Daniela Castro, King Abdullah University of Science and Technology; Raphaël Huser, KAUST
5:20 PM

Monday, 08/01/2016

Maximum Likelihood and Least Squares Estimation Comparison for the Three-Parameter Weibull Distribution: Case Study of Statistical Software
William Harper, Otterbein University; Thomas R. James, Otterbein University

A Likelihood-Based Approach Using Shared Latent Random Variable Between Longitudinal Process and Censoring Mechanism
Miran Jaffa, American University of Beirut; Ayad A. Jaffa, American University of Beirut

Testing for Interaction in Functional Varying-Coefficient Models
Merve Tekbudak, North Carolina State University

Web-Based Application of Likelihood Ratio Test (LRT)--Based Method for Signal Detection in OpenFDA
Yuyi Hsu; Jyoti Zalkikar, FDA; Ram Tiwari, FDA/CDER/OT/OB; Jay Levine, FDA

On the Maximum Likelihood and Least Squares Estimation for the Inverse Weibull Parameters with Progressively First-Failure Censoring
Amal Helu, Carnegie Mellon University

Testing the Sphericity of a Covariance Matrix When the Dimension Is Much Larger Than the Sample Size
Zeng Li, The University of Hong Kong

Examples of How a P-Value Interpretation Depends on the Underlying Statistical Philosophy
Andrew Neath, Southern Illinois University

Location and Scale Parameters Testing by Empirical Likelihood Estimation
Ningning Wang, Jackson State University

A Standardized Signed Likelihood Ratio Test for the Threshold in a Generalized Pareto Distribution
David Smith, Tennessee Tech University

Estimation of Genetic Risk Function with Covariates in the Presence of Missing Genotypes
Annie J. Lee, Columbia University; Yuanjia Wang, Columbia University; Karen Marder, Columbia University; Roy N. Alcalay, Columbia University

Effects of Missing Data on Student Growth Estimates
Katherine Wright, Loyola University Chicago; John Gatta, Northwestern University, ECRA Group; Therese D. Pigott, Loyola University Chicago

Inference with Cluster Data Under Informative Sampling
Jae-kwang Kim, Iowa State University; Seunghwan Park, Seoul National University
8:35 AM

Testing the Sphericity of a Covariance Matrix When the Dimension Is Much Larger Than the Sample Size
Zeng Li, The University of Hong Kong
8:55 AM

Joint Modeling of Survival Time and Longitudinal Outcomes with Flexible Random Effects
Jianwen Cai, The University of North Carolina at Chapel Hill; Jaeun Choi, Albert Einstein College of Medicine; Donglin Zeng, The University of North Carolina at Chapel Hill; Andy Olshan, The University of North Carolina at Chapel Hill
9:00 AM

Location and Scale Parameters Testing by Empirical Likelihood Estimation
Ningning Wang, Jackson State University
9:05 AM

A Statistical Algorithm for Phantom Clustering Using PPCA
Wei Q. Deng, University of Toronto; Radu V. Craiu, University of Toronto
9:05 AM

A Standardized Signed Likelihood Ratio Test for the Threshold in a Generalized Pareto Distribution
David Smith, Tennessee Tech University
9:10 AM

Joint Modeling of Survival Time with Another Outcome in Clinical Trials or Observational Studies
Ross L. Prentice, Fred Hutchinson Cancer Research Center; Shanshan Zhao, National Institute of Environmental Health Sciences
9:25 AM

H-Likelihood Method for Analyzing Clustered Survey Data
Donghwan Lee, Ewha Womans University; Youngjo Lee, Seoul National University
9:25 AM

Semiparametric Fractional Imputation Using Empirical Likelihood in Survey Sampling
Sixia Chen, University of Oklahoma; Jae-kwang Kim, Iowa State University
9:35 AM

Exact Parametric and Nonparametric Likelihood-Ratio Tests for Two-Sample Comparisons
Yang Zhao, SUNY Buffalo; Albert Vexler, SUNY Buffalo; Alan Hutson, SUNY Buffalo; Xiwei Chen, SUNY Buffalo
10:05 AM

A Note on Multiple Imputation Under Informative Sampling
Jae-kwang Kim, Iowa State University; Shu Yang, Harvard
10:35 AM

A Nonparametric Regression Model for Panel Count Data Analysis
Huadong Zhao, East China Normal University
10:35 AM

Detection Boundary of the Generalized Likelihood Ratio Test for Heteroscedastic Gaussian Mixtures
Wenhua Jiang
10:50 AM

Missing Data in the Context of Student Growth Models
Katherine Wright, Loyola University Chicago; John Gatta, Northwestern University, ECRA Group; Therese D. Pigott, Loyola University Chicago
10:50 AM

Local Identifiability in Finite Mixture Model: A Gold Standard Solution?
Daeyoung Kim, University of Massachusetts - Amherst
10:55 AM

Distributed Estimation and Inference with Statistical Guarantees
Heather Battey, Imperial College London; Jianqing Fan, Princeton; Han Liu, Princeton; Junwei Lu, Princeton; Ziwei Zhu, Princeton
11:00 AM

A Penalized Quasi-Likelihood Approach for Variable Selection in High-Dimensional Spatially Correlated Binary and Count Data
Abdhi Sarkar, Michigan State University; Chae Young Lim, Seoul National University; Tapabrata Maiti, Michigan State University
11:05 AM

Approximate Optimal Weighted Composite Likelihood Approach for Large Spatial Data
Furong Li, Texas A&M University; Huiyan Sang, Texas A&M University
11:20 AM

Examples of How a P-Value Interpretation Depends on the Underlying Statistical Philosophy
Andrew Neath, Southern Illinois University
11:30 AM

Recurrent Event Data Analysis with Intermittently Observed Time-Varying Covariates
Shanshan Li, Indiana University Fairbanks School of Public Health; Yifei Sun, The Johns Hopkins University; Chiung-Yu Huang, The Johns Hopkins University; Dean Follmann, National Institute of Allergy and Infectious Diseases; Richard Krause, National Institute of Allergy and Infectious Diseases
11:35 AM

Semiparametric Regression Analysis of Interval-Censored Competing Risks Data
Lu Mao, The University of North Carolina at Chapel Hill; Danyu Lin, The University of North Carolina at Chapel Hill; Donglin Zeng, The University of North Carolina at Chapel Hill
11:55 AM

Modeling Multiple Primary Cancers Over Time Using a Novel Familywise Likelihood Under the Nonhomogeneous Poisson Process
Jialu Li, MD Anderson Cancer Center; Seung Jun Shin, Korea University; Wenyi Wang, MD Anderson Cancer Center
2:05 PM

A Pairwise Likelihood-Augmented Estimator for Left-Truncated Data with Time-Dependent Covariates
Fan Wu, University of Michigan; Sehee Kim, University of Michigan; Yi Li, University of Michigan
2:20 PM

Inference of Stress Strength for Gompertz Model with Record Sample
Morgan Barnes, University of South Dakota; Yuhlong Lio, University of South Dakota; Nan Jiang, University of South Dakota
2:20 PM

Evaluation of Functional Covariate-Environment Interaction in the Cox Model
ling zhou, University of Michigan; Huazhen Lin, Southwestern University of Finance and Economics; Peter X. K. Song, University of Michigan
2:35 PM

A Comparative Analysis of Approaches for Quantifying the Weight of Evidence in Forensic Science
Hariharan Iyer, National Institute of Statistical Sciences; Steven Lund, National Institute of Standards and Technology
2:35 PM

Maximum Likelihood Estimation of Gaussian Copula Models for Geostatistical Count Data
Zifei Han; Victor De Oliveira, The University of Texas at San Antonio
2:50 PM

In Memory of Bruce Lindsay: Quadratic Inference Function
Annie Qu, University of Illinois at Urbana-Champaign
2:55 PM

Data-Transformation Approach to Lifetimes Data Analysis
Kobby Asubonteng, AstraZeneca; Govind Mudholkar, University of Rochester
3:05 PM

Geometry, Likelihood, and Inference
Nancy Reid, University of Toronto
3:20 PM

Characterizing the Prognostic Potential of Dynamic Markers: Connections to Information Theory
Patrick Heagerty, University of Washington; Jason Chao-Kang Liang, Fred Hutchinson Cancer Research Center
3:20 PM

A Beta-Binomial Model to Compare Somatic Mutation Rates Between Groups of Cancer Patients
Hong Wang, University of Kentucky; Yong Chen, University of Pennsylvania Perelman School of Medicine; Jinze Liu, University of Kentucky; Heidi Weiss, University of Kentucky ; Susanne M. Arnold, University of Kentucky; Aronld Stromberg, University of Kentucky; Chi Wang, University of Kentucky
3:20 PM

MM Algorithms for Variance Components Models
Liuyi Hu, North Carolina State University; Hua Zhou, University of California at Los Angeles; Jin Zhou, University of Arizona; Kenneth Lange, University of California at Los Angeles
3:35 PM

Tuesday, 08/02/2016

Maximum Likelihood or Generalized Estimating Equations: A Comparison in the Context of Proportional Odds Model for Ordinal Response
Xinkai Zhou, Statistics Core@UCLA

Estimating Time-Varying Graphical Models Through a Local Group-Lasso-Type Penalty
Jilei Yang, University of California at Davis; Jie Peng, University of California at Davis

An R Package Enabling Likelihood-Based Inference for Generalized Linear Mixed Models
Christina Knudson

Likelihood Methods for Non-Negative Matrix Factorization
Frank Shen, Penn State University

Community Extraction for Networks with Node Covariates via Pseudo-Likelihood Method
Chengan Du, George Mason University; Qing Pan, The George Washington University; Yunpeng Zhao, George Mason University

Confidence Intervals Construction of Difference of Proportions Based on Correlated Bilateral Data
Zhengyu Yang, SUNY Buffalo; Xiaobin Liu, SUNY Buffalo; Chang-Xing Ma, SUNY Buffalo

Combining Inference Across Diverse Information Sources via Confidence Distributions: The II-CC-FF Paradigm
Nils Lid Hjort, University of Oslo
8:35 AM

Confidence Intervals Construction of Difference of Proportions Based on Correlated Bilateral Data
Zhengyu Yang, SUNY Buffalo; Xiaobin Liu, SUNY Buffalo; Chang-Xing Ma, SUNY Buffalo
8:35 AM

Control Chart Based on Quasi-Likelihood Estimation for Monitoring Profiles
Chung-I Li
8:50 AM

Modeling Clustered Bivariate Binary Outcome
Edmund Ameyaw, Howard University; Paul Bezandry, Howard University; Victor Apprey, Howard University; John Kwagyan, Howard University College of Medicine
9:05 AM

A Blockmodel for Node Popularity in Networks with Community Structure
Srijan Sengupta, University of Illinois at Urbana-Champaign; Yuguo Chen, University of Illinois at Urbana-Champaign
9:20 AM

Logistic Analysis of Epidemiologic Studies with Augmentation Sampling Involving Re-Stratification and Population Expansion
Barry Graubard, National Cancer Institute; Yan Li, Joint Program in Survey Methodology; Mahboobeh Safaeian, National Cancer Institute; Hilary Robbins , The Johns Hopkins University
9:20 AM

Enhancing Power of Case-Control Studies by Using Prevalent Cases
Marlena Maziarz, National Cancer Institute; Jing Qin, National Institute of Allergy and Infectious Diseases; Ruth Pfeiffer, National Cancer Institute
9:35 AM

Empirical likelihood inference for regression parameters when modeling hierarchical complex survey data
Melike Oguz Alper, Statistics Norway; Yves G. Berger, University of Southampton
9:50 AM

Model Calibration Utilizing Summary-Level Information from External Big Data
Nilanjan Chatterjee, The Johns Hopkins University; Yi-Hau Chen, Academia Sinica; Paige Maas, National Cancer Institute; Raymond Carroll, Texas A&M University
10:35 AM

An R Package Enabling Likelihood-Based Inference for Generalized Linear Mixed Models
Christina Knudson
10:55 AM

A Bayesian Hypothesis-Testing Framework for Detecting Differentially Expressed Genes
Claudio Fuentes, Oregon State University; Luis Leon Novelo, The University of Texas Health Science Center at Houston; Sarah Emerson, Oregon State University
11:05 AM

Likelihood Methods for Non-Negative Matrix Factorization
Frank Shen, Penn State University
11:10 AM

Bayesian Variable Selection by Cross Validation, DIC, and Marginal Likelihood: A Comparative Study
Arnab Maity, Northern Illinois University; Sanjib Basu, Northern Illinois University; SANTU GHOSH, Georgia Regents University
11:20 AM

Testing Low-Dimensional Coefficients in High-Dimensional Heteroscedastic Linear Models
Honglang Wang, Indiana University Purdue University Indianapolis; Ping-Shou Zhong, Michigan State University; Yuehua Cui, Michigan State University
11:20 AM

Bayesian Model Selection of Shape Constraints for Nonparametric Regression
Peter Lenk, University of Michigan; Taeryon Choi, Korea University
11:50 AM

Wafer Tomography: Study of Defects and Prediction of Integrated-Circuit Yield
Michael Baron, American University; Emmanuel Yashchin, IBM Research
11:55 AM

Accelerated Nonparametric Maximum Likelihood Density Deconvolution Using Bernstein Polynomial
Zhong Guan, Indiana University South Bend
12:05 PM

Inference for Nonlinear Panel/Longitudinal Data
Carles Breto, University of Michigan; Edward L. Ionides, University of Michigan; Aaron A. King, University of Michigan
2:20 PM

Some Methods for the Analysis of Informatively Censored Failure Time Data
Jianguo Sun, University of Missouri
3:05 PM

Empirical Likelihood Inference for the Odds Ratio of Two Survival Functions Under Right Censoring
Yichuan Zhao, Georgia State University; Meng Zhao, Home Depot; Ian McKeague, Columbia University
3:25 PM

Wednesday, 08/03/2016

A Likelihood-Based Approach for Multivariate One-Sided Tests with Missing Data
Guohai Zhou, University of British Columbia; Lang Wu, University of British Columbia; Rollin Brant, University of British Columbia; J Mark Ansermino

Proportional Likelihood Ratio Mixed Model
Hongqian Wu, University of Iowa; Michael Jones, University of Iowa

A Composite Likelihood Approach in Testing for Hardy Weinberg Equilibrium Using Family-Based Genetic Survey Data
Lingxiao Wang, Joint Program in Survey Methodology; Barry Graubard, National Cancer Institute; Yan Li, Joint Program in Survey Methodology

Calibration of Design Weights Using a Power Transformation
Sarjinder Singh, Texas A&M University - Kingsville; Veronica Salinas, Texas A&M University - Kingsville; Stephen Sedory, Texas A&M University - Kingsville

Comparison of the Bayesian and Frequentist Estimation of the Inbreeding Coefficient
Zhenyi Xue, Becton, Dickinson, and Company

What Works in Boston May Not Work in Los Angeles: A Double Robust Transportability Estimator for Understanding Site Differences in Policy Interventions
Kara Rudolph, University of California at Berkeley; Mark van der Laan, University of California at Berkeley
8:35 AM

Restricted Maximum Likelihood Approaches for Linear Mixed Models: AREML and BREML
Erning Li, University of Iowa; Dale Zimmerman, University of Iowa
9:05 AM

Proportional Likelihood Ratio Mixed Model
Hongqian Wu, University of Iowa; Michael Jones, University of Iowa
9:15 AM

Bayesian Restricted Likelihood Methods
Steven N. MacEachern, The Ohio State University; John Lewis, The Ohio State University; Yoonkyung Lee, The Ohio State University
9:15 AM

Confidence Intervals for Variance Components in Mixed-Effects Models: A Likelihood-Based Approach
Gaurav Sharma, The EMMES Corporation; Lihan Yan, FDA
9:20 AM

A Partial Likelihood Approach to Multivariate Multiscale Functional Data Analysis
Andrew Potter, University of Pittsburgh; Stewart J. Anderson, University of Pittsburgh
9:20 AM

A Gaussian-Probit Model for Bayesian Network with Mixed Variables
Qingyang Zhang, University of Arkansas; Ji-Ping Wang, Northwestern University
9:35 AM

Comparison of the Bayesian and Frequentist Estimation of the Inbreeding Coefficient
Zhenyi Xue, Becton, Dickinson, and Company
10:00 AM

A Semiparametric Multi-State Survival Model for Correlated Interval-Censored Life History Data in Caries Research
Daewoo Pak, Michigan State University; Chenxi Li, Michigan State University; David Todem, Michigan State University
10:05 AM

Semiparametric Structural Equation Models with Latent Variables for Right-Censored Data
Kin Yau Wong, The University of North Carolina at Chapel Hill; Donglin Zeng, The University of North Carolina at Chapel Hill; Danyu Lin, The University of North Carolina at Chapel Hill
10:50 AM

Information Based Clustering of Gene Expression Signatures in Primary Breast Carcinoma Patients
Milan Bimali, University of Kansas School of Medicine; Michael Brimacombe, University of Kansas Medical Center
11:05 AM

Semiparametric Generalized Linear Models for Time-Series Data
Thomas Fung, Macquarie University; Alan Huang, University of Queensland
11:20 AM

A Robust SEIR Model for Epidemics on Unobserved Graphs
Aaron T. Porter, Colorado School of Mines; Grant Donald Brown, University of Iowa
11:35 AM

Efficient Large-Scale Variable Selection in Complex Lifetime Models
Sanjib Basu, Northern Illinois University; Arnab Maity, Northern Illinois University
11:35 AM

Improving the Balance Between Sensitivity and Specificity for Functional Localization in fMRI Data
Jasper Degryse, Ghent University; Ruth Seurinck, Ghent University; Beatrijs Moerkerke, Ghent University
11:35 AM

Approximate Likelihood Methods for Estimation and Prediction in Gaussian Process Regression Models for Computer Experiments
Ryan Parker, SAS Institute; Brian J. Reich, North Carolina State University; Chris Gotwalt, SAS Institute
11:35 AM

Joint Partially Linear Model for Longitudinal Data with Informative Drop-Outs
Sehee Kim, University of Michigan; Donglin Zeng, The University of North Carolina at Chapel Hill; Jeremy M. G. Taylor, University of Michigan
11:55 AM

Group Feature Selection in Ultrahigh-Dimensional Generalized Varying-Coefficient Linear Models
Songshan Yang; Runze Li, Penn State University
2:05 PM

An Algorithm with Applications in Ranked-Set Sampling
Yimin Zhang, Villanova University; Jesse Frey, Villanova University
2:20 PM

The Modified Weibull Geometric Distribution: Properties and Estimations
Seongho Song, University of Cincinnati; Younshik Chung, Pusan National University
2:20 PM

Modeling Concurrency and Selective Mixing in Heterosexual Partnership Networks with Applications to Sexually Transmitted Diseases
Ryan Admiraal, Murdoch University; Mark Stephen Handcock, University of California at Los Angeles
2:20 PM

Adaptive Spectral Analysis of Replicated Nonstationary Time Series
Robert Krafty, University of Pittsburgh; Martica Hall, University of Pittsburgh; Scott Bruce, Temple University
2:30 PM

Combining Information by Using Likelihood with Application
Myung Soon Song, SUNY Cortland
2:35 PM

An Extended Kaplan-Meier Estimator for Time-to-Event Data with Informative Censoring
Misun Yu Lee, Astellas Pharma; Wei Li, Astellas Pharma
2:35 PM

Improved Computation of Full Data Likelihood Estimates in the Cox Proportional Hazards Model
Xiao Fang, The University of Texas Medical Branch; Kristofer Jennings, The University of Texas Medical Branch
2:35 PM

A Missing Technique for Estimating Missing Values
Silvia Sharna, Ball State University; Mian Adnan, Ball State University; Rahmatullah Imon, Ball State University
3:05 PM

Enhancing the Precision of Small-Sample Sensitivity Tests
David H. Collins, Los Alamos National Laboratory; Michael S. Hamada, Los Alamos National Laboratory; Brian Phillip Weaver, Los Alamos National Laboratory
3:20 PM

Collaborative Targeted Learning for Large-Scale and High-Dimensional Data
Cheng Ju, University of California at Berkeley; Mark van der Laan, University of California at Berkeley; Susan Gruber, Harvard T.H. Chan School of Public Health; Jessica Franklin, Brigham and Women's Hospital; Richard Wyss, Brigham and Women's Hospital; Wesley Eddings, Brigham and Women's Hospital; Sebastian Schneeweiss, Brigham and Women's Hospital
3:20 PM

Thursday, 08/04/2016

Personalized Treatment for Longitudinal Data Using Unspecified Random-Effects Model
Hyunkuen Cho, Western Michigan University; Peng Wang, University of Cincinnati; Annie Qu, University of Illinois at Urbana-Champaign
8:35 AM

The EM Algorithm for One-Shot Device Testing with Competing Risk Under Different Lifetimes Distributions
Hon Yiu So, McMaster University; Narayanaswamy Balakrishnan, McMaster University; Man Ho Ling, Hong Kong Institute of Education
8:35 AM

Asymptotic Analysis of Covariance Parameter Estimation for Gaussian Processes in the Misspecified Case
Francois Bachoc, University Paul Sabatier
8:50 AM

On Likelihood Functions of Interval-Valued Random Variables
Xin Zhang, University of New South Wales; Scott Anthony Sisson, University of New South Wales
9:05 AM

Gaussian Likelihood Inference on Non-Gaussian Random Fields
Yuan Yan, King Abdullah University of Science and Technology; Marc Genton, KAUST
9:05 AM

Why the Likelihood Ratio Test Is Inappropriate to Test Dose-Response and Sharing of Information Among Antibody Therapies for Dose Selection
Russell Reeve, Quintiles
9:50 AM

Maximum Likelihood Estimation for Semiparametric Models with Interval-Censored Data
Danyu Lin, The University of North Carolina at Chapel Hill
11:00 AM

Model Selection Confidence Sets by Likelihood Ratio Testing
Chao Zheng; Davide Ferrari, University of Melbourne; Yuhong Yang, University of Minnesota
11:05 AM

Constrained Inference for Double Cone Alternatives
Xuechan Li, Duke University; Janice McCarthy, Duke University; Zhiguo Li, Duke University; Andrew Allen, Duke University; Kouros Owzar, Duke University
11:05 AM

Toward Efficient MCMC Algorithms for Doubly Intractable Distributions
Jaewoo Park, Penn State University; Murali Haran, Penn State University
11:20 AM

Integrated Analysis of Cell Survival Data with Family-Based Genetic Studies to Treat Neurodegenerative Diseases
Daisy Philtron, Penn State University
11:35 AM

Reversible-Jump MCMC for Likelihood-Based Finite Mixture Models for Ordinal Data
Daniel Fernandez Martinez, New York University
11:50 AM

JSM 2016 Online Program

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