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Keyword Search Criteria: Maximum Likelihood returned 43 record(s)
Sunday, 07/30/2017
A Maximum Likelihood Approach for Non-Invasive Cancer Diagnosis Using Methylation Profiling of Cell-Free DNA from Blood
Carol Sun, Oak Park High School; Wenyuan Li, UCLA
2:50 PM

Conditional Maximum Likelihood Estimation for a Class of Observation-Driven Time Series Models for Count Data
Yunwei Cui, Towson University; Qi Zheng, University of Louisville
2:50 PM

A Simple Extension of the FGM Copula for Negative Association
Kahadawala Cooray, Central Michigan University
3:35 PM

Convergence Results for Identification of Systems with Binary Subsystems
Long Wang, Johns Hopkins University; James C Spall, Applied Physics Laboratory
3:35 PM

A Maximum Likelihood Approach to Power Calculations for Stepped Wedge Designs of Binary Outcomes
Xiaomei Liao, AbbVie; Lauren Kunz, NIH; Sharon-Lise Normand, Harvard Medical School; Donna Spiegelman, Harvard T.H. Chan School of Public Health
4:05 PM

Estimating the Number of Tax Returns Required to Be Filed: Nonparametric Methods to Address Respondent Rounding
Minsun Riddles, Westat; Sharon Lohr, Westat; J. Michael Brick, Westat; Patrick T. Langetieg, Internal Revenue Service; J. Mark Payne, Internal Revenue Service; Alan H. Plumley, Internal Revenue Service
4:25 PM

Secure Multiparty Maximum Likelihood Estimation with Partitioned Databases
Joshua Snoke, Pennsylvania State University; Timothy Brick, Pennsylvania State University; Aleksandra Slavkovic, Pennsylvania State University
4:35 PM

Monday, 07/31/2017
Sub-Group Analysis with Nonparametric Unimodal Symmetric Error Distribution
Yizhao Zhou; Ao Yuan, Georgetown University; Ming T Tan, Georgetown University


Comparing Two Correlated ROC Curves: a Generalized Pivotal Quantity Approach
Yonggang Zhao, Skyview Research; Qianqiu Li, Johnson and Johnson


Green Power Statistics: Local Wind Speed Modeling as Basis for Wind Turbine Performance Prediction
Marina Nechayeva, LaGuardia Community College ; Malgorzata Marciniak, LaGuardia Community College; Vladimir Przhebelskiy , LaGuardia Community College ; Michael Wiley, LaGuardia Community College ; Paul DeVries, LaGuardia Community College


Green Power Statistics: Local Wind Speed Modeling as Basis for Wind Turbine Performance Prediction
Marina Nechayeva, LaGuardia Community College ; Malgorzata Marciniak, LaGuardia Community College; Vladimir Przhebelskiy , LaGuardia Community College ; Michael Wiley, LaGuardia Community College ; Paul DeVries, LaGuardia Community College
9:40 AM

Adaptive Estimation for Varying Coefficient Models
Yixin Chen, Sanofi; Qin Wang, Virginia Commonwealth University; Weixin Yao, Department of Statistics, University of California, Riverside
9:50 AM

Modeling and Estimation of Contagion-Based Social Network Dependence with Time-To-Event Data
Lin Yu, North Carolina State University; Wenbin Lu, North Carolina State University
10:50 AM

Modeling Count Data from a Complex Survey using Pseudo Maximum Likelihood
Mulugeta Gebregziabher, MUSC; Lin Dai, Medical University of South Carolina
10:55 AM

Maximum Likelihood Versus Alternative Regularized Estimators for Logistic Regression Models
Gabriel Ruiz, Department of Statistics, University of California, Riverside; Subir Ghosh, Department of Statistics, University of California, Riverside
3:20 PM

Tuesday, 08/01/2017
Estimating the Protective Effect of Longitudinal DrugConcentration in Pre-Exposure Prophylaxis for HIV Prevention
Claire Ruberman, Johns Hopkins University; Jon Steingrimsson, Johns Hopkins University; Michael Rosenblum, Johns Hopkins University; Craig Hendrix, Johns Hopkins School of Medicine


On the Hazard Function of Kumaraswamy Distribution and Associated Inference
Rajarshi Dey, University of South Alabama; Nutan Mishra, University of south alabama


Investigating the Impact of Blood Pressure Lowering Medications on Blood Pressure Distributions
Saryet Kucukemiroglu, Florida State University; Dan McGee, Florida State University
9:05 AM

On the Likelihood Ratio Test for Gaussian Mixtures Based on the Nonparametric Maximum Likelihood Estimator
Wenhua Jiang, Fudan University; Cun-Hui Zhang, Rutgers University
9:20 AM

Generalization of Three Weibull Extensions with Applications in Renal Failure Data
Nonhle Channon Mdziniso, Central Michigan University; Kahadawala Cooray, Central Michigan University
9:35 AM

A Randomized Algorithm for Maximum Likelihood Estimation with Spatial Autoregressive Models
Miaoqi Li, University of Cincinnati; Emily L. Kang, University of Cincinnati
9:50 AM

Top-K Rank Aggregation from Pairwise Comparisons
Yuxin Chen
10:35 AM

On the Hazard Function of Kumaraswamy Distribution and Associated Inference
Rajarshi Dey, University of South Alabama; Nutan Mishra, University of south alabama
11:55 AM

Maximum Likelihood Multiple Imputation: a More Efficient Approach to Repairing and Analyzing Incomplete Data
Paul T von Hippel, University of Texas
2:05 PM

Testing for Model Adequacy in Censored Location-Scale Families
Sundarraman Subramanian, New Jersey Institute of Technology
2:20 PM

Asymptotic Efficiency of REML Error Components as a Function of Unbalancedness
Jyothsna Sainath, University of Utah
3:05 PM

Wednesday, 08/02/2017
A Control Chart for Joint Monitoring of Parameters of a Shifted Exponential Distribution Under Penalized Maximum Likelihood Estimation
Austin Brown, University of Northern Colorado; Bryce Whitehead, University of Northern Colorado


Data-Adaptive Statistics for Multiple Hypothesis Testing in High-Dimensional Settings
Weixin Cai, University of California, Berkeley; Alan Hubbard, University of California, Berkeley
8:35 AM

Causal Inference in a Big Data World - The Roadmap
Laura B Balzer, Harvard T.H. Chan School of Public Health
9:05 AM

Maximum Likelihood Features for Generative Image Models
Lo-Bin Chang, The Ohio State University; Eran Borenstein, Microsoft Research; Wei Zhang, Smartleaf, Cambridge; Stuart Geman, Brown University
10:50 AM

A Time Series Model for Boolean Random Sets
Khalil Shafie, University of Northern Colorado; Mostafa Zahed, University of Northern Colorado
10:50 AM

Maximum likelihood inference for a large precision matrix
Yunzhang Zhu, Ohio State University ; Xiaotong T Shen, University of Minnesota; Wei Pan, University of Minnesota
2:05 PM

Efficient Estimation and Inference in Factor Models with Nonstationary Common And/Or Idiosyncratic Components
Haiqing Zhao, Purdue University; Mohitosh Kejriwal, Purdue University
2:20 PM

Semiparametric Single Index Regression Models for Censored Outcomes
Jin Wang, UNC Chapel Hill; Donglin Zeng, University of North Carolina; Danyu Lin, University of North Carolina
2:20 PM

Stratified Semiparametric Density Ratio Model
Moming Li, George Mason University; Guoqing Diao, George Mason University
2:20 PM

Global Rates of Convergence in Log-Concave Density Estimation
Richard J. Samworth, Statistical Laboratory, University of Cambridge; Arlene Kyoung Hee Kim, Sungshin Women's University
2:55 PM

Thursday, 08/03/2017
Combining Subsystem and Full System Data with Application to Cold-Formed Steel Shear Wall
Guanbo Bian, Johns Hopkins University; Long Wang, Johns Hopkins University; Benjamin Schafer, Johns Hopkins University; James C Spall, Applied Physics Laboratory
9:05 AM

Maximum Likelihood Estimation of the Mode of a Continuous Distribution (Without Grouping)
John Paul DeLong
9:05 AM

Using Ranked Set Sampling with Binary Outcomes in Cluster Randomized Designs
Mumu Wang, Southern Methodist University; Xinlei Wang, Southern Methodist University; Johan Lim, Seoul National University
9:15 AM

Maximum Likelihood-Based Regression with a Continuous Exposure Variable Assessed in Pools and Subject to Measurement and Processing Errors
Dane Van Domelen, Rollins School of Public Health, Emory University; Emily Mitchell, Agency for Healthcare Research and Quality; Amita Manatunga, Emory University; Robert H Lyles, Rollins School of Public Health, Emory University; Enrique F Schisterman, Eunice Kennedy Shriver National Institute of Child Health and Human Development
9:35 AM

A COMPARISON AMONG BAYESIAN, MAXIMUM LIKELIHOOD, and MAXIMUM ENTROPY INFERENCE METHODS
Jose Guardiola, Texas A&M University-CC; Hassan Elsalloukh, University of Arkansas at Little Rock
11:15 AM

Efficient Asymptotic Variance Reduction When Estimating Volatility in High Frequency Data
Yoann Potiron, Keio University Faculty of Business and Commerce; Simon Clinet, The University of Tokyo
11:35 AM

The Adaptive "learn-As-You-Go" Design for Multi-Stage Intervention Studies
Daniel Nevo, Harvard T.H. Chan School of Public Health; Judith Lok, Harvard T H Chan School of Public Health; Donna Spiegelman, Harvard T.H. Chan School of Public Health
11:35 AM

 
 
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