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Keyword Search Criteria: variance returned 111 record(s)
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Sunday, 07/29/2018
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A Novel Bayesian Framework to Probe Closed Box Nature of Galaxy Clusters
Arya Farahi, University of Michigan - Ann Arbor
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A Novel Framework for Differential Gene Expression Analysis Using Robust Profile Likelihood Ratios
Lehang Zhong, Division of Biostatistics, Dalla Lana School of Public Health, University of Toronto; Lisa Joanna Strug, Genetics and Genome Biology, The Hospital for Sick Children
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A Deep Learning Approach to the Estimation of Bias and Variance in HARDI
Allison Hainline, Vanderbilt University; Hakmook Kang, Vanderbilt University Medical Center; Bennett Landman, Vanderbilt University
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Two-Sample Test for Covariance Operators with Incompletely Observed Functional Data
Lihan Yan, FDA; Tao Zhang, Guangxi University of Science and Technology; Zhaohai Li, George Washington University
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Multi-Scale Vecchia Approximation of Gaussian Processes
Jingjie Zhang, Texas A&M University; Matthias Katzfuss, Texas A&M University
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A Novel Framework for Differential Gene Expression Analysis Using Robust Profile Likelihood Ratios
Lehang Zhong, Division of Biostatistics, Dalla Lana School of Public Health, University of Toronto; Lisa Joanna Strug, Genetics and Genome Biology, The Hospital for Sick Children
2:25 PM
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Understanding Variance Estimator Bias in Stratified Two-Stage Sampling
Khoa Dong, U.S. Census Bureau; Timothy Trudell, US Census Bureau; Yang Cheng, US Census Bureau; Eric Slud, U.S. Census Bureau
2:25 PM
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Generalized Bias and Variance for Convex Regularized Estimators
Pierre Bellec, Rutgers University
2:25 PM
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A Sampling Design for an Ordered Population
Xiaofei Zhang, Iowa State Univ; Wayne Fuller, Iowa State University
2:35 PM
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Domain Estimation and Successive Difference Replication
Timothy Trudell, US Census Bureau; Khoa Dong, U.S. Census Bureau; Yang Cheng, US Census Bureau; Eric Slud, U.S. Census Bureau
2:45 PM
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High-Dimensional Gaussian Graphical Model for Network-Linked Data
Ji Zhu, University of Michigan; Boang Liu, University of Michigan; Tianxi Li, University of Michigan; Cheng Qian, University of Michigan; Elizaveta Levina, University of Michigan
2:45 PM
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A Deep Learning Approach to the Estimation of Bias and Variance in HARDI
Allison Hainline, Vanderbilt University; Hakmook Kang, Vanderbilt University Medical Center; Bennett Landman, Vanderbilt University
3:00 PM
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Current Population Survey State GVFs and Design Effects
Tamara Zimmerman, Bureau of Labor Statistics; Edwin Robison, Bureau of Labor Statistics
3:05 PM
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Modeling Conditional Variance Functions Using Nonparametric Transfer Function Models
Jun Liu
3:05 PM
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Optimal Multiple Confidence Regions
Edsel Pena, University of South Carolina; Taeho Kim, University of South Carolina
3:05 PM
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Multi-Scale Vecchia Approximation of Gaussian Processes
Jingjie Zhang, Texas A&M University; Matthias Katzfuss, Texas A&M University
3:10 PM
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Two-Sample Test for Covariance Operators with Incompletely Observed Functional Data
Lihan Yan, FDA; Tao Zhang, Guangxi University of Science and Technology; Zhaohai Li, George Washington University
3:35 PM
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Within Laboratory Variance Outlier Detection: An Alternative to Cochran's Test
Michael Morton, Altria Client Services
4:05 PM
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De Novo Detection and Accurate Inference of Differentially Methylated Regions
Keegan Korthauer, Dana-Farber Cancer Institute; Sutirtha Chakraborty, Novartis; Yuval Benjamini, Hebrew University of Jerusalem; Rafael Irizarry, Harvard University
4:20 PM
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Implementation of Adaptive Design on the Medicare Current Beneficiary Survey
Christopher Ward, NORC at the University of Chicago; Felicia LeClere, NORC at the University of Chicago; Kari Carris, NORC at the University of Chicago; Stephen Cohen, NORC at the University of Chicago; Dean Resnick, NORC; Micah Sjoblom, NORC at the University of Chicago; Jennifer Vanicek, NORC at the University of Chicago; Ying Li, NORC at the University of Chicago
4:20 PM
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Variance Components Estimators OPE, NOPE and AOPE in Linear Mixed Effects Models
Subir Ghosh, Univ. of California, Riverside
4:35 PM
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Spatial Statistics Approach to Develop Novel Protein Cancer Biomarkers
Inna Chervoneva, Thomas Jefferson University
4:50 PM
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Budget-Constrained Group Testing Designs for Prevalence Estimation
Shih-Hao Huang, Academia Sinica
5:05 PM
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Generalized Linear Models with Multiple Longitudinal Covariate Processes
Erning Li, University of Iowa
5:35 PM
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Monday, 07/30/2018
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Hierarchical-Block Conditioning Approximations for High-Dimensional Multivariate Normal Probabilities
Jian Cao, King Abdullah University of Science and Technology; Marc G Genton, King Abdullah University of Science and Technology; David E Keyes, King Abdullah University of Science and Technology; George Turkiyyah, King Abdullah University of Science and Technology
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First Order Asymptotic Variance of a Leader Election Algorithm
Simon Langowski, Purdue University; Mark Daniel Ward, Purdue University
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Random Dual Rotation: Generalized Permutation Test for High Dimension, Low Sample Size Data
Hee Cheol Chung, University of Georgia; Jeongyoun Ahn, University of Georgia
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An R2 Statistic for Covariance Model Selection in the Linear Mixed Model
Byron Jaeger, University of Alabama at Birmingham; Lloyd Edwards, University of Alabama at Birmingham; Matthew Gurka, University of Florida
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The Implementation of Moderated T-Tests in Linear Mixed-Effects Models
Lianbo Yu, Ohio State University; Jianying Zhang, Ohio State University; Guy Brock, Ohio State University College of Medicine; Soledad Fernandez, The Ohio State University
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Investigation of Alternative Calibration Estimators in the Presence of Nonresponse
Daifeng Han, Westat; Richard Valliant, University of Michigan
8:35 AM
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Nonparametric Test for Homogeneity of Covariance in Multivariate Regression
Yan Xu, University of Kentucky
8:50 AM
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Variance of Treatment Effect, an Important Yet Difficult Parameter
Jonathan Levy, UC Berkeley
9:20 AM
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Testing Factor-Covariate Interaction in Rank Repeated-Measures Analysis of Covariance ModelsTesting Factor-Covariate Interaction in Rank Repeated-Measures Analysis of Covariance Mo
Donghui Zhang, Sanofi; Chunpeng Fan, Sanofi
9:50 AM
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Resampling-Based Control of the False Discovery Rate Incorporating Shrinkage Estimation for the Covariance Matrix
Josephine Sarpong Akosa, Oklahoma State University; Melinda McCann, Oklahoma State University
10:05 AM
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MM Algorithms for Variance Components Models
Liuyi Hu, North Carolina State University; Hua Zhou, UCLA; Jin Zhou, University of Arizona; Kenneth Lange, UCLA
10:50 AM
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Bootstrapping Maxima of High-Dimensional Random Vectors with Variance Decay
Miles Lopes, University of California, Davis; Hans Mueller, UC Davis; Zhenhua Lin, University of Toronto
10:50 AM
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Variance Estimation for Product Sales in the 2017 Economic Census: Challenges in Implementing Multiple Imputation-Based Variance Estimation
Matthew Thompson, U.S. Census Bureau; Katherine J Thompson, U.S. Census Bureau
10:55 AM
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An R2 Statistic for Covariance Model Selection in the Linear Mixed Model
Byron Jaeger, University of Alabama at Birmingham; Lloyd Edwards, University of Alabama at Birmingham; Matthew Gurka, University of Florida
10:55 AM
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BRISC: Bootstrap for Rapid Inference on Spatial Covariances
Arkajyoti Saha, Johns Hopkins Bloomberg School of Public Health; Abhi Datta, Johns Hopkins Bloomberg School of Public Health
11:05 AM
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Improved Shrinkage Prediction Under a Spiked Covariance Structure
Trambak Banerjee; Gourab Mukherjee, University of Southern California; Debashis Paul, UC Davis
11:35 AM
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Smoothing Spline ANOVA Models for Nonparametric Covariance Estimation for Longitudinal Data
Tayler Blake, Information Control Company; Yoonkyung Lee, Ohio State University
11:50 AM
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A Concentration Inequality for Large Autocovariance Matrices
Yicheng Li, University of Washington; Fang Han, University of Washington
11:50 AM
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The Implementation of Moderated T-Tests in Linear Mixed-Effects Models
Lianbo Yu, Ohio State University; Jianying Zhang, Ohio State University; Guy Brock, Ohio State University College of Medicine; Soledad Fernandez, The Ohio State University
12:10 PM
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Why Weight, Replicate Now! The Use of Replicate Weights for Complex Survey Data Analysis in SPSS
Kelly Lin, Marketing Systems Group; Jeffrey S. Bareham, Marketing Systems Group; Ashley Hyon, Marketing Systems Group
2:05 PM
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Charles Stein in the Beginning
Edward George, Wharton, University of Pennsylvania
2:05 PM
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Frechet Estimation of Dynamic Covariance Matrices, with Application to Regional Myelination in the Developing Brain
Alexander Petersen, University of California, Santa Barbara; Hans Mueller, UC Davis; Sean Deoni, Brown University
2:20 PM
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Jackknife and Other Replication Methods with a Reduced Number of Replicates
Stephen Ash, US Census Bureau
2:35 PM
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Variance Estimation Under Imputation Using the Rescaling Bootstrap
Christian Bruch, University of Mannheim
3:05 PM
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Estimating HIV Incidence Using Complex Survey Data
Jean Opsomer, Westat; Ismael Flores Cervantes, Westat; Anindya De, U.S. Centers for Disease Control and Prevention; Rommel Bain, U.S. Centers for Disease Control and Prevention; Paul Stupp, U.S. Centers for Disease Control and Prevention
3:20 PM
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Covariances, Robustness, and Variational Bayes
Ryan Giordano; Tamara Broderick, Massachusetts Institute of Technology; Michael Jordan, UC Berkeley
3:25 PM
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A Bootstrap-Based Goodness-of-Fit Test of Covariance for Functional Data
Luo Xiao, North Carolina State University; Stephanie Chen, North Carolina State University; Ana-Maria Staicu, NC State University
3:25 PM
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On Generalized Variance Functions for Sample Means and Medians
Justin McIllece, Bureau of Labor Statistics
3:35 PM
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Tuesday, 07/31/2018
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Bayesian Estimation with Shrinking Both Means and Variances in Heteroscedastic Nested Error Regression Models
Hiromasa Tamae
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Differential Abundance Analysis with Empirical Bayes Shrinkage Estimation of Variance (DASEV) for Proteomic and Metabolomic Data
Zhengyan Huang; Chi Wang, University of Kentucky; Arnold Stromberg, University of Kentucky
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Variance Estimation Under Model-Implied Randomization of Nonrandom Samples
Vladislav Beresovsky, National Center for Health Statistics
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Rao-Blackwellizing Field Goal Percentage in the NBA
Daniel Daly-Grafstein, Simon Fraser University; Luke Bornn, Sacramento Kings and Simon Fraser University
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Functional Data Analysis in Dose-Adjusted Tacrolimus Trough Concentration Modeling: A New Method to Compare Intrapatient Variance Between Patient Cohorts
Janet Kim, Astellas Pharma Global Development, Inc.; Sam Wilson, Astellas Pharma Global Development, Inc.; Jason J Schwartz, Astellas Pharma Global Development, Inc.
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Microbial Network Estimation Using Compositional Graphical Lasso
Chuan Tian, Oregon State University; Duo Jiang, Oregon State University; Tom Sharpton, Oregon State University; Yuan Jiang, Oregon State University
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Numerical Comparison of Various Bootstrap Methods in Survey Sampling
Christian Léger, Université de Montréal; Oussama Dabdoubi, Université de Montréal
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Variance Estimation Under Model-Implied Randomization of Nonrandom Samples
Vladislav Beresovsky, National Center for Health Statistics
8:40 AM
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On the Covariance Estimation and Principal Component Analysis for Spatially Dependent Functional Data
Haozhe Zhang, Iowa State University; Yehua Li, University of California, Riverside
9:05 AM
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Microbial Network Estimation Using Compositional Graphical Lasso
Chuan Tian, Oregon State University; Duo Jiang, Oregon State University; Tom Sharpton, Oregon State University; Yuan Jiang, Oregon State University
9:55 AM
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Differential Abundance Analysis with Empirical Bayes Shrinkage Estimation of Variance (DASEV) for Proteomic and Metabolomic Data
Zhengyan Huang; Chi Wang, University of Kentucky; Arnold Stromberg, University of Kentucky
10:00 AM
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Bayesian Spectral Modeling for Multivariate Spatial Distributions of Elemental Concentrations in Soil
Maria Antonia Terres, The Climate Corporation; Montserrat Fuentes, Virginia Commonwealth University; Dean Hesterberg, North Carolina State University; Matthew Polizzotto, North Carolina State University
10:35 AM
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Rao-Blackwellizing Field Goal Percentage in the NBA
Daniel Daly-Grafstein, Simon Fraser University; Luke Bornn, Sacramento Kings and Simon Fraser University
10:50 AM
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To Shrink or Not to Shrink: Hotelling's T2 Control Charts Based on Shrunken Covariance Estimates
Allison Jones-Farmer, Miami University; Steve Rigdon, St. Louis University; Debbie Shepherd, Louisiana State-Shreveport
10:55 AM
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Numerical Comparison of Various Bootstrap Methods in Survey Sampling
Christian Léger, Université de Montréal; Oussama Dabdoubi, Université de Montréal
11:00 AM
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Mitigating Standard Errors of County-Level Survey Estimates When Data are Sparse
Valbona Bejleri, USDA National Agricultural Statistics Service; Habtamu Benecha, USDA National Agricultural Statistics Service; Andreea Erciulescu, National Institute of Statistical Sciences; Nathan Cruze, USDA National Agricultural Statistics Service; Balgobin Nandram, Worcester Polytechnic Institute
11:15 AM
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Nonparametric Operator-Regularized Covariance Function Estimation for Functional Data
Xiaoke Zhang, George Washington University; Raymond Wong, Texas A&M University
11:20 AM
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Empirical Likelihood Based Covariance Matrix Estimation
Sanjay Chaudhuri, National University of Singapore
11:20 AM
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Frechet Analysis of Variance for Random Objects
Paromita Dubey, University of California, Davis; Hans Mueller, UC Davis
11:55 AM
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Functional Data Analysis in Dose-Adjusted Tacrolimus Trough Concentration Modeling: A New Method to Compare Intrapatient Variance Between Patient Cohorts
Janet Kim, Astellas Pharma Global Development, Inc.; Sam Wilson, Astellas Pharma Global Development, Inc.; Jason J Schwartz, Astellas Pharma Global Development, Inc.
11:55 AM
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High-Dimensional Sign Tests for the Direction of a Skewed Single-Spiked Distribution
Davy Paindaveine, Université libre de Bruxelles; Thomas Verdebout, Université libre de Bruxelles
2:05 PM
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Pseudo-Kernel Method in Accessing Cross-Validated Risk
Qing Wang, Wellesley College
2:05 PM
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Optimal Regression Designs Under the Second-Order Least Squares Estimator
Julie Zhou, University of Victoria; Chi-Kuang Yeh, University of Victoria
2:05 PM
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The Generalized Ridge Estimator of the Inverse Covariance Matrix
Wessel Van Wieringen, VU Medical Center
2:20 PM
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Constrained Regression via Majorization-Minimization
Jason Xu, UCLA; Kenneth Lange, UCLA
2:35 PM
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Wednesday, 08/01/2018
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An Improved Estimator for Variance Components in Linear Mixed Model
Kun Yue, University of Washington; Jing Ma, Fred Hutch Cancer Research Center; Ali Shojaie, University of Washington
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Inferences in High-Dimensional Misspecified Mixed Model Analysis for GWAS
Cecilia Dao, Yale Univ; Jiming Jiang, University of California, Davis; Debashis Paul, UC Davis; Hongyu Zhao, Yale
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Replicate Weights for Variance Estimation of Subnational Areas
Stephanie Zimmer, RTI International; Marcus Berzofsky, RTI International; Andrew Moore, RTI International
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A Monte Carlo Simulation of the Effects of Ignoring Measurement Non-Invariance on the Standard Error for Mean Difference Testing
Scott Colwell, University of Guelph; Theodore J Noseworthy, York University
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Modeling Covariance Structure for Longitudinal Data
Annie Qu, University of Illinois at Urbana-Champaign
8:35 AM
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Improved Variance Component Score Tests of Gene-Environment Interactions
NANXUN MA, University of Washington; Michael C. Wu, Fred Hutchinson Cancer Research Center; Jing Ma, Fred Hutch Cancer Research Center
8:35 AM
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Flexible Characterizations of Nonstationary Space-Time Covariance Functions
Christopher J Geoga, Argonne National Laboratory; Charlotte Haley, Argonne National Lab; Michael Stein, University of Chicago, Dept. of Statistics; Mihai Anitescu, Argonne National Laboratory
8:50 AM
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A General Framework for Vecchia Approximations of Gaussian Processes
Matthias Katzfuss, Texas A&M University; Joseph Guinness, North Carolina State University
9:05 AM
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Replicate Weights for Variance Estimation of Subnational Areas
Stephanie Zimmer, RTI International; Marcus Berzofsky, RTI International; Andrew Moore, RTI International
9:15 AM
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Pseudo-Population Bootstrap Procedures for Multi-Stage Sampling Designs
Sixia Chen, University of Oklahoma; David Haziza, Université de Montréal
9:25 AM
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A Monte Carlo Simulation of the Effects of Ignoring Measurement Non-Invariance on the Standard Error for Mean Difference Testing
Scott Colwell, University of Guelph; Theodore J Noseworthy, York University
9:30 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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Discovering Depression Subtypes with High-Dimensional Eigenvalue Estimation on Resting-State fMRI Data
Samprit Banerjee, Weill Medical College, Cornell University
10:35 AM
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Spatial Statistical Downscaling for Constructing High-Resolution Nature Runs in Global Observing System Simulation Experiments
Pulong Ma, University of Cincinnati; Emily L. Kang, University of Cincinnati; Amy Braverman, Jet Propulsion Laboratory; Hai Nguyen, Jet Propulsion Laboratory
10:55 AM
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New Statistical Methods for Analyzing Whole Brain Metabolites Using High-Resolution MRS Data
Shuo Chen, University of Maryland, School of Medicine
10:55 AM
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Measuring the Individual Benefits of a Medical or Behavioral Treatment Using Generalized Linear Mixed-Effects Models
Francisco Diaz, The University of Kansas Medical Center
11:05 AM
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Flexible Dynamic Modeling of Correlation and Covariance Matrices for Spatio-Temporal Data Analysis
Babak Shahbaba, UCI; Andrew James Holbrook, UC Irvine; Gabriel Elias, UC Irvine; Norbert J. Fortin, UC Irvine; Hernando Ombao, UC Irvine; Shiweil Lan, CalTech
11:15 AM
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Weighted Envelope Estimation to Handle Variability in Model Selection
Daniel J. Eck
11:20 AM
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Efficient Estimation for Non-Stationary Spatial Covariance Functions with Application to High-Resolution Climate Model Emulation
Yuxiao Li, KAUST; Ying Sun, KAUST
11:35 AM
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Estimating Subject-Specific Rates of Change from Longitudinal Data
Christopher Morrell, Loyola University Maryland; Larry J. Brant, Loyola University Maryland; Majd AlGhatrif, NIA, NIH; Edward G. Lakatta, NIA, NIH
2:05 PM
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High-Dimensional Markowitz Portfolio Optimization Problem: Empirical Comparison of Covariance Matrix Estimators
Johan Lim, Seoul National University; Young-Geun Choi, Fred Hutchinson Cancer Research Center; Sujung Choi, Soongsil University
2:05 PM
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Utilizing the Block Diagonal Covariance Structure of Nonregular Two-Level Designs
Robert Mee, University of Tennessee; David J Edwards, Virginia Commonwealth University
2:05 PM
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Generalized Semiparametric Approach to One-Way Analysis of Variance
Chathurangi Pathiravsan, Southern Illinois University Carbondale; Bhaskar Bhattacharya, Southern Illinois University Carbondale
2:20 PM
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Functional Variance Change Point Analysis for Big Data with an Application to Liver Procurement
Pang Du, Virginia Tech; Zhenguo Gao, Virginia Tech; Ran Jin, Virginia Tech; John Robertson, Virginia Tech
2:25 PM
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A Kernel Weighting Approach to Improve Population Representativeness of Epidemiological Cohort in the Analysis
Lingxiao Wang, The Joint Program in Survey Methodology, University of Maryland, College Park; Barry Ira Graubard, National Cancer Institute; Hormuzd A. Katki, Biostatistics Branch, Division of Cancer Epidemiology & Genetics, National Cancer Institute; Yan Li, University of Maryland at College Park
2:30 PM
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Variance Component Score Test for Differential Expression in RNAseq Studies
Denis Agniel, RAND Corporation; Boris Hejblum, Universite de Bordeaux
3:05 PM
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Model-Based Crop Yield Forecasting: Adjustment for Within-State Heterogeneity, Covariate Selection and Variance Estimation
Habtamu Benecha, USDA National Agricultural Statistics Service; Nathan Cruze, USDA National Agricultural Statistics Service; Nell Sedransk, National Institute of Statistical Sciences (NISS)
3:20 PM
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Thursday, 08/02/2018
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Does it Pay to Repeat the Baseline?
Shiyang Ma, University of Rochester; David Oakes , University of Rochester
9:05 AM
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Extended Ensemble Kalman Filters for High-Dimensional Hierarchical State-Space Models
Jonathan Stroud, Georgetown University; Matthias Katzfuss, Texas A&M University; Christopher K. Wikle, University of Missouri
9:15 AM
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SOME EWMA SCHEMES for SIMULTANEOUS MONITORING of UNKNOWN MEAN and VARIANCE of a NORMALLY DISTRIBUTED PROCESS
Ridwan Sanusi, City Univ of Hong Kong; AMITAVA MUKHERJEE, INDIAN INSTITUTE OF MANAGEMENT ; Min Xie, City University of Hong Kong
10:35 AM
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Estimating the Error Variance in a High-Dimensional Linear Model
Guo Yu, Cornell University; Jacob Bien, University of Southern California
10:50 AM
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TRUMP in Power Supports Five Family Members
Sarjinder Singh, Texas A&M University-Kingsville; Stephen A Sedory, Texas A&M University-Kingsville
10:50 AM
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Using Shrinkage to Detect Changes in Variance in Complex Business Data
Rebecca Killick, Lancaster University; Jamie-Leigh Chapman, Lancaster University; Idris Eckley, Lancaster University
10:55 AM
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Bayesian Network Meta-Regression Models Using Heavy-Tailed Multivariate Random Effects with Covariate-Dependent Variances
Ming-Hui Chen, University of Connecticut; Hao Li, University of Connecticut; Joseph G Ibrahim, University of North Carolina Chapel Hill; Sung Duk Kim, National Cancer Institute; Arvind K. Shah, MRL, Merck & Co., Inc.; Jianxin Lin, MRL, Merck & Co., Inc.; Andrew M. Tershakovec, MRL, Merck & Co., Inc.
11:15 AM
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