Online Program Home
  My Program

Keyword Search

Legend:
CC = Baltimore Convention Center,    H = Hilton Baltimore
* = applied session       ! = JSM meeting theme

Keyword Search Criteria: Variance returned 109 record(s)
Sunday, 07/30/2017
Extracting Latent States from High Frequency Option Prices
Jean-Francois Begin, Simon Fraser University; Diego Amaya, Wilfred Laurier University; Genevieve Gauthier, HEC Montréal
2:20 PM

Variance Estimation for the Sample Mean of Dependent Data Stream
Lei Jin, Texas A&M University -Corpus Christi
2:20 PM

Comparing Correlated Component Regression with Lasso for Variable Selection in Logistic Regression with High-Dimensional Data
Jay Magidson, Statistical innovations
2:30 PM

Distributed Statistical Estimation and Rates of Convergence in Normal Approximation
Stanislav Minsker, University of Southern California
3:05 PM

Identifying Differentially Expressed Genes from Two Transcriptomes of an Individual -- a Step Toward Precision Medicine
Qike Li, University of Arizona; Helen Zhang, University of Arizona; Yves Lussier, University of Arizona
3:05 PM

Estimation of the Variance of Nonparametric Trend Estimates from Time Series Replicates Using the Empirical Moment Generating Function
Sucharita Ghosh, Swiss Federal Research Institute WSL
3:35 PM

Robust High-Dimensional Volatility Matrix Estimation for High-Frequency Factor Model
Jianqing Fan, Princeton University; Donggyu Kim, Princeton University
4:05 PM

Community Detection and Invariance to Distribution
Guy Bresler, MIT; Wasim Huleihel, MIT
4:35 PM

Sparse Covariance Estimation via Concentration Inequalities
Adam Kashlak, Univ of Cambridge; Linglong Kong, University of Alberta
5:05 PM

B-Spline Imputation Procedures for the Treatment of Item Nonresponse in Surveys
David Haziza, University of Montreal; Camelia Goga, Universite de Bourgogne
5:05 PM

Testing and Scoring High-dimensional Covariance Matrices When Heteroscedasticity is Present
Xinghua Zheng, HKUST; Xinxin Yang, HKUST; Jiaqi Chen, Harbin Institute of Technology; Hua Li, Chang Chun University
5:20 PM

Optimal Design of Accelerated Degradation Tests for Wiener Degradation Processes with Budget Constraint and Time-Censoring
Jen Tang, Purdue University; Ming-Yung Lee, Providence University
5:20 PM

Monday, 07/31/2017
Bayesian Mixed Effect Location Scale Model for Ecological Momentary Assessment Data
Xiaolei Lin, University of Chicago; Donald Hedeker, University of Chicago


Sample Size Calculation Based on Finite Mixture Model
Zejiang Yang, INC Research


Selecting Classification Types for Time-Dependent Covariates to Improve the Marginal Analysis of Longitudinal Data
I-Chen Chen, University of Kentucky; Philip M. Westgate, University of Kentucky


Weighted Bayesian Random-Effects Meta-Analysis Models
Uma Siangphoe, U.S. Food and Drug Administration


Multiply Robust Nonparametric Multiple Imputation for the Treatment of Missing Data
Sixia Chen; David Haziza, University of Montreal
8:35 AM

Conditional Quantiles Under Parametric Model Misspecification: Predicting Individualized Ranges of A1C Change
Sergey Tarima, Medical College of Wisconsin; Bonifride Tuyishimire, Medical College of Wisconsin; Rodney Sparapani, Medical College of Wisconsin; Lisa Rein, Medical College of Wisconsin; John Meurer, Medical College of Wisconsin
8:35 AM

Longitudinally Measured Predictors: Approaches for Sufficient Dimension Reduction
Efstathia Bura, TU Wien; Liliana Forzani, Universidad Nacional del Litoral; Ruth Pfeiffer , National Cancer Institute, NIH, HHS
8:35 AM

Eigenvalues and Variance Components
Iain M Johnstone, Stanford Universty
9:25 AM

Sparse Minimum Discrepancy Approach to Sufficient Dimension Reduction with Simultaneous Variable Selection in Ultrahigh Dimension
Wei Qian, Rochester Institute of Technology; Shanshan Ding, University of Delaware; Dennis Cook, University of Minnesota
9:35 AM

Error Variance Estimation in Ultra-High Dimensional Regression Models
Runze Li, The Pennsylvania State University; Zhao Chen, The Pennsylvania State University; Jianqing Fan, Princeton University
9:50 AM

Unique Regression Model(S) for Both Symmetric and Asymmetric Regressed Variable(S)
Mian Adnan, Ball State University; Silvey Shamsi, Ball State University; Rahmatullah Imon, Ball State University
10:35 AM

Nonseparable Gaussian Stochastic Process: a Unified View and Computational Strategy
Mengyang Gu, Johns Hopkins University; Yanxun Xu, Johns Hopkins University; Barbara Engelhardt, Princeton University
10:35 AM

Selecting Classification Types for Time-Dependent Covariates to Improve the Marginal Analysis of Longitudinal Data
I-Chen Chen, University of Kentucky; Philip M. Westgate, University of Kentucky
10:40 AM

Nonparametric Covariance Estimation for Longitudinal Data via Tensor Product Smoothing
Tayler Blake, Information Control Company; Yoonkyung Lee, The Ohio State University
10:50 AM

Influence of Biological Conditions to Temporal Gene Expressions Based on Variance Analysis
Dianliang Deng, University of Regina
10:55 AM

Bootstrapping Spectral Statistics in High Dimensions
Miles Lopes, UC Davis; Alexander Aue, University of California, Davis; Andrew Blandino, UC Davis
11:05 AM

Learning Causal Networks via Additive Faithfulness
Kuang-Yao Lee, Yale University; Tianqi Liu, Yale University; Bing Li, Pennsylvania State University; Hongyu Zhao, Yale University
11:15 AM

Integrating Imaging and Genetic Data for Understanding Neuropsychological Disorders
Heping Zhang, Yale University School of Public Health; Canhong Wen, Sun Yat-Sen University; Chintan Mehta, Yale University
11:25 AM

Efficient Sparse Estimate of Sufficient Dimension Reduction in High Dimension
Wenhui Sheng; Xin Chen, National University of Singapore; Xiangrong Yin, University of Kentucky
11:35 AM

Weighted Bayesian Random-Effects Meta-Analysis Models
Uma Siangphoe, U.S. Food and Drug Administration
11:50 AM

Clustered Binomial Data Analysis by Modified Generalized Estimating Equations
Xuemao Zhang, East Stroudsburg University
2:05 PM

Local Variance Estimation in a Spatio-Temporal Process
Eunice Kim
2:20 PM

Statistical Inference for Model Parameters in Stochastic Gradient Descent
Yichen Zhang, New York University; Xi Chen, NYU; Jason D. Lee, University of Southern California; Tong Thomson Xin, National University of Singapore
2:25 PM

Error Variance Estimation in Linking Educational Survey Test Results Through Population Ability Distribution Matching
Xueli Xu, Educational Testing Service - Princeton, NJ; John Donoghue, ETS
2:25 PM

A Factor Analysis Approach for Modeling the Structure of Time-Series Covariance Matrices
Teal Guidici; George Michailidis, University of Florida
2:35 PM

Bayesian Semiparametric Covariance Function Estimation for Stationary Gaussian Processes by Overwhelming Force
John Ensley
2:35 PM

Variable Selection for High-Dimensional Spatial Regression Models
Abolfazl Safikhani, Columbia University; Tapabrata Maiti, Michigan State University; Chae Young Lim , Seoul National University
2:50 PM

Modeling Heterogeneous Variance-Covariance Components in Two-Level Models
George Leckie, University of Bristol; Robert French, University of Bristol; Chris Charlton, University of Bristol; William Browne, University of Bristol
2:55 PM

Impact of Misspecified Covariance Structure on the Parameter Estimates in a Shared Spatial Frailty Model
Cindy Feng, University of Saskatchewan
3:25 PM

Tuesday, 08/01/2017
Comparison of Model-Based to Design-Based Ratio Estimators
James Knaub, Retired


Permutation Based Testing on Covariance Separability
Seongoh Park; Johan Lim, Seoul National University; Xinlei Wang, Southern Methodist University; Sanghan Lee, Nathan Kline Institute for Psychiatric Research, Orangeburg, NY, USA


Robust Estimation of Genetic and Environmental Variance Components in Twin Studies using Generalized Method of Moments
Jaron Arbet; Saonli Basu, University of Minnesota


Conditional Quantiles Under Parametric Model Misspecification: a Simulation Study
Bonifride Tuyishimire, Medical College of Wisconsin; Sergey Tarima, Medical College of Wisconsin; Rodney Sparapani, Medical College of Wisconsin; Lisa Rein, Medical College of Wisconsin; John Meurer, Medical College of Wisconsin


Multivariate Generalized Linear Mixed Model with Common Random Effects
Ding Xiang, University of Minnesota; Galin Jones, University of Minnesota


Minimax Estimation of Large Precision Matrices with Bandable Cholesky Factor
Yu Liu, University of Pittsburgh; Zhao Ren, University of Pittsburg


Dynamic Posterior Exploration for Simultaneous Variable and Covariance Selection with Spike and Slab Priors
Sameer Kirtikumar Deshpande, The Wharton School; Veronika Rockova, University of Chicago; Edward I. George, Wharton, University of Pennsylvania


On Estimating Regression-Based Causal Effects Using Sufficient Dimension Reduction
Wei Luo, Baruch College; Yeying Zhu, University of Waterloo; Debashis Ghosh, Colorado School of Public Health
8:35 AM

Joint Modeling of Mean, Dispersion, and Weights
Katherine Irimata, Arizona State University
8:35 AM

High-Dimensional Discriminant Analysis Using Singular Wishart Distribution
Samprit Banerjee, Weill Medicine College of Cornell University; Stefano Monni, American University of Beirut, Lebanon
8:35 AM

Bayesian Variance Selection in Analysis of Species Distribution
Jing Zhang, Miami University; Baini Li, Miami University; Thomas Crist, Miami University
8:50 AM

Hybrid BRR and Parametric-Bootstrap Variance Estimates for Small Domains in Large Surveys
Eric Slud, U.S. Census Bureau/University of Maryland College Park; Robert Ashmead, U.S. Census Bureau
9:15 AM

Distance Metrics for Measuring Joint Dependence with Application to Causal Discovery
Shubhadeep Chakraborty, Texas A & M University; Xianyang Zhang, Texas A&M University
9:35 AM

The Central Role of Stability in Causal Inference
Peng Ding, University of California, Berkeley
9:50 AM

Flexible parametric approach to classical measurement error variance estimation without auxiliary data
Ingrid Van Keilegom, ORSTAT, KU LEUVEN
10:35 AM

Confidence Intervals for Heritability via Haseman-Elston Regression
Tamar Sofer, University of Washington, Department of Biostatistics
11:15 AM

On Testing Goodness-of-Fit of AR(P) Model Through the Serial Dependence of the Residual Process
Phyllis Wan, Columbia University; Richard A. Davis, Columbia University; Muneya Matsui, Nanzan University; Thomas Mikosch, University of Copenhagen
11:20 AM

Multiple Testing with Close to Equally Correlated Correlation Structure
Boris Zaslavsky, FDA/CBER
11:35 AM

The Gini Autocovariance Function Applied to Heavy Tailed Linear Time Series
Marcel Carcea, Western New England University; Robert Serfling, University of Texas at Dallas
11:35 AM

A Simple and Adaptive Two-Sample Test in High Dimensions
Jin-Ting Zhang, National University of Singapore; Jin Guo, National University of Singapore; Bu Zhou, National University of Singapore; Ming-Yen Cheng, National Taiwan University
11:50 AM

The Large Within- and Between-Agency Variance of Federal Statistical Careers
Michael Messner, U.S. Environmental Protection Agency
11:55 AM

Dynamic Posterior Exploration for Simultaneous Variable and Covariance Selection with Spike and Slab Priors
Sameer Kirtikumar Deshpande, The Wharton School; Veronika Rockova, University of Chicago; Edward I. George, Wharton, University of Pennsylvania
11:55 AM

A Thresholding-Based Prewhitened Long-Run Variance Estimator and Its Dependence-Oracle Property
Ting Zhang, Boston University
2:05 PM

Small Area/Domain Estimation Assuming One Auxiliary Variable, Equal Unit Error Variances and Post-Stratification
Prabhakar Ghangurde, Consultant
2:20 PM

Addressing 'Consistent but Fragile:' New Tools for Robust Covariance Matrix Estimation and Outlier Identification
Randal Verbrugge, Federal Reserve Bank of Cleveland; Christian Garciga, Federal Reserve Bank of Cleveland
2:35 PM

On Structure Testing for Component Covariance Matrices of a High-Dimensional Mixture
Jianfeng YAO, The University of Hong Kong; Weiming Li, Shanghai University of Finance and Economics
2:55 PM

A Novel Framework for Selection Bias in Electronic Health Records-Based Research
Sarah B Peskoe, Harvard TH Chan School of Public Health; Sebastien Haneuse, TE-Harvard T.H. Chan School of Public Health
3:05 PM

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

Variance Change Point Detection and Its Variations for Robustness
Kyungduk Ko, Boise State University
3:20 PM

Adaptive Detection of Variance Change Point
Santosh Srivastava, IBM Research, New Delhi India; Ritwik Chaudhuri, IBM India Pvt. ltd.; Ankur Narang, IBM Research New Delhi India; Maya Gupta, Google Research; Sudhanshu Singh, IBM India Pvt. ltd.
3:35 PM

Wednesday, 08/02/2017
A Significant Test for the Number of Orthogonal Components
Zhiyang Zhou, Simon Fraser University; Richard Lockhart, Simon Fraser University


A Class of Nonseparable and Nonstationary Covariance Functions for Multi-Ouput Gaussian Process
Pulong Ma, Department of Mathematical Sciences, University of Cincinnati; Bledar Alex Konomi, Department of Mathematical Sciences, University of Cincinnati; Emily L. Kang, University of Cincinnati


Differentiated Effects of Data Analyses on Between- and Within-Imputation Variances in Multiple Imputation
Qiyuan Pan, NCHS/CDC; Rong Wei, NCHS / CDC; Yulei He, National Center for Health Statistics
9:05 AM

Estimation in Multisite Randomized Trials with Heterogeneous Treatment Effects
Daniel Schwartz, University of Chicago; Stephen Raudenbush, University of Chicago
9:20 AM

Hierarchical Latent Factor Models for Improving the Prediction of Surgical Complications Across Hospitals
Elizabeth Lorenzi, Duke University; Katherine Heller, Duke University; Ricardo Henao, Duke University; Zhifei Sun, Duke University
9:35 AM

Interviewer Effects on Racially-Sensitive Questions and Biomeasures: Results from a Semi-Interpenetrated Design
Matt Jans, Abt Associates; Trivellore Raghunathan, University of Michigan School of Public Health; Mick P. Couper, Michigan Program in Survey Methodology
9:50 AM

Developing Variance Estimates for Products in the Economic Census
Jeremy Knutson, U.S. Census Bureau; Matthew Thompson, U.S. Census Bureau; Katherine Thompson, U.S. Census Bureau
9:50 AM

Nonparametric Estimation of a Variance Function with Shape Restrictions
Soo Young Kim, Colorado State University; Haonan Wang, Colorado State University; Mary Meyer, Colorado State University
9:50 AM

Conditional and Unconditional ANOVA Tests: An Empirical Comparison of Type I Error Control and Statistical Power under Variance Heterogeneity and Non-Normality
Zhiyao Yi, University of South Florida; Yan Wang , University of South Florida; Thanh Pham, University of South Florida; Diep Nguyen, University of South Florida; Yue Yin, University of South Florida; Jeffrey Kromrey, University of South Florida; Eun Sook Kim, University of South Florida; Yi-Hsin Chen, University of South Florida
10:05 AM

Approximate Confidence Regions for Consensus Mean Vector in Heteroscedastic Multivariate One-Way Random Model
Jian Zhao, The EMMES Corporation
10:05 AM

Bayesian Estimation of Principal Components for Functional Data
Adam Justin Suarez, Monsanto Company; Subhashis Ghosal, North Carolina State University
10:35 AM

Posterior Graph Selection and Estimation Consistency for High-Dimensional Bayesian DAG Models
Xuan Cao, University of Florida; Kshitij Khare, University of Florida; Malay Ghosh, University of Florida
10:50 AM

Construction and Assessment of Generalized Variance Functions for an Establishment Survey
Kevin Roche, U.S. Bureau of Labor Statistics; Julie Gershunskaya, U.S. Bureau of Labor Statistics
11:15 AM

Confidence Intervals for Population Attributable Fractions Using Complex Survey Data
Akhil Vaish, Research Triangle Institute; Olga Khavjou, Research Triangle Institute
11:35 AM

An Optimal Covariate-Adaptive Design to Balance Tiers of Covariates
Fan Wang; Feifang Hu, George Washington University
11:50 AM

Wasserstein Covariance for the Functional Data Analysis of Multivariate Densities
Alexander Petersen, University of California, Santa Barbara; Hans-Georg G Müller, University of California, Davis
2:20 PM

Optimal Design for Classification of Functional Data
Cai Li, North Carolina State University; Luo Xiao, North Carolina State University
2:35 PM

Collapsing Weighting Adjustments in the National Immunization Survey (NIS) - Is There an Advantage?
Elizabeth Ormson, NORC at the University of Chicago; Philip J. Smith, Centers for Disease Control and Prevention; Zhen Zhao, CDC; Qiao Ma, NORC at the University of Chicago
2:35 PM

Knowing Factors or Factor Loadings, or Neither? Evaluating Estimators of Large Covariance Matrices with Noisy and Asynchronous Data
Kun Lu, Princeton University; Chaoxing Dai, Booth School of Business University of Chicago; Dacheng Xiu, University of Chicago
2:50 PM

Variance When Using Weights for Full Probability Sample to Analyze Arbitrarily Combined Sub-Samples: NHANES 2011 - 2014
Rey deCastro, Centers for Disease Control & Prevention
2:50 PM

A Mixed Variance Component Model for Quantifying the Elasticity Modulus of Nanomaterials
Xinwei Deng, Virgiania Tech; Angang Zhang, Virgiania Tech
2:55 PM

A Comparison of Variance Estimates Using Random Group and Taylor Series Methods for a Large National Survey of Businesses
Sadeq R Chowdhury, Agency for Healthcare Research and Quality; David Kashihara, Agency for Healthcare Research and Quality
3:05 PM

Survey Designs with Small Stratum Sample Sizes
Xiaofei Zhang, Iowa State University; Emily Berg, Iowa State University; Wayne A. Fuller, Iowa State University
3:20 PM

Variance Estimation for Trend of Nurse Diversity Using ACS PUMS Data 2000-2015
Tiandong Li, HRSA
3:35 PM

Thursday, 08/03/2017
Neutron Multiplicity: LANL W Covariance Matrix for Curve Fitting
James Wendelberger, Los Alamos National Laboratory and University of New Mexico
8:35 AM

Fixed Support Positive-Definite Modification of Covariance Matrix Estimators via Linear Shrinkage
Johan Lim, Seoul National University; Young-Geun Choi, Fred Hutchinson Cancer Research Center; Junyong Park, University of Maryland at Baltimore County; Anindya Roy, University of Maryland at Baltimore County
9:35 AM

COMPLEX SURVEY DESIGNS for SIMULTANEOUS ESTIMATION of TOTALS of TWO SENSITIVE VARIABLES
Segun Ahmed, Texas A & M University-Kingsville; Sarjinder Singh, Texas A&M University-Kingsville; Stephen A. Sedory, Texas A&M University-Kingsville
9:35 AM

Homogeneity Test of Covariance Matrices with High-Dimensional Longitudinal Data
Pingshou Zhong, Michigan State University; Runze Li, The Pennsylvania State University
9:35 AM

Eigenvalues of Covariance Matrices of High-Dimensional Time Series
Alexander Aue, University of California, Davis; Haoyang Liu, University of California, Berkeley; Debashis Paul, University of California, Davis
9:50 AM

Multivariate Models of Realized Beta and Stochastic Volatility
Katherine Ensor, Rice University
9:55 AM

New Insights About High-Dimensional Statistical Inference
Lingzhou Xue, The Pennsylvania State University; Danning Li, Jilin University
9:55 AM

Selecting Basis Quantities for Dimensional Analysis: a Data-Driven Approach
Ching-Chi Yang, Penn State; Dennis K.J. Lin, Penn State University
10:05 AM

Modeling Spatially Correlated and Heteroscedastic Errors in Ethiopian Maize Trials
Tigist Damesa, University of Hohenheim; Hans-Peter Piepho, University of Hohenheim; Jens Möhring, University of Hohenheim; Johannes Forkman, Swedish University of Agricultural Sciences
10:35 AM

A Hypothesis Testing Framework for Validating an Assay for Precision
Michael Fay, National Institute of Allergy and Infectious Diseases; Michael C Sachs, Karolinska Institutet; Kazutoyo Miura, National Institute of Allergy and Infectious Disease
10:50 AM

Local Likelihood Estimation for Nonstationary Covariance Functions with Applications to Climate Model Emulation
Yuxiao Li, King Abdullah University of Science and Technology; Ying Sun, King Abdullah University of Science and Technology
11:05 AM

Efficient Affine Invariant Clustering with Gaussian Models of General Covariance Structures
Hsin-Hsiung Huang, UCF
11:15 AM

Statistics-Based Compression of Global Wind Fields
Jaehong Jeong, King Abdullah University of Science and Technology; Stefano Castruccio, Newcastle University; Paola Crippa, Newcastle University; Marc G. Genton, KAUST
11:35 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

 
 
Copyright © American Statistical Association