Keyword Search
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: Kernel returned 46 record(s)
|
Monday, 08/01/2016
|
A Study of Unit Root Test Using Nonparametric Method
Ji Eun Moon, Yonsei University College of Medicine; Cheolyong Park, Keimyung University
|
Kernel Smoothing for Hierarchical Data
Christopher Wilson; Patrick Gerard, Clemson University
|
Efficient Estimation of Partially Linear Single-Index Models for Unbalanced Longitudinal Data
Quan Cai, Texas A&M University
|
Location and Scale Parameters Testing by Empirical Likelihood Estimation
Ningning Wang, Jackson State University
|
Nonparametric Kernel Estimation Using Ranks and Values
Nicholas Kaukis, Oklahoma State University
|
Nonparametric Kernel Estimation Using Ranks and Values
Nicholas Kaukis, Oklahoma State University
8:45 AM
|
Location and Scale Parameters Testing by Empirical Likelihood Estimation
Ningning Wang, Jackson State University
9:05 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
|
Nonparametric Mixture Models with Conditionally Independent Multivariate Component Densities
Didier Chauveau, University of Orleans; Vy Thuy Lynh Hoang, University of Orleans
11:35 AM
|
Kernel Entropy Estimation for Linear Processes
Yongli Sang
11:35 AM
|
The Blessing of Derivatives in Nonparametric Estimation
Xiaowu Dai, University of Wisconsin - Madison; Grace Wahba, University of Wisconsin - Madison; Peter Qian, University of Wisconsin - Madison
2:20 PM
|
Region-Based Hypothesis Test of Mediation Effect with Epigenomic Data Using Kernel Machine Regression
Jincheng Shen, Harvard T.H. Chan School of Public Health
2:45 PM
|
Semiparametric Estimation of the Accelerated Failure Time Model with Partly Interval-Censored Data
Fei Gao; Donglin Zeng, The University of North Carolina at Chapel Hill; Danyu Lin, The University of North Carolina at Chapel Hill
2:50 PM
|
Nonparametric Estimation and Classification for Functional Data with Spatial Correlation
Yuan Wang, Washington State University; Brian Hobbs, MD Anderson Cancer Center; Kim-Anh Do, MD Anderson Cancer Center; Jianhua Hu, MD Anderson Cancer Center
3:20 PM
|
Tuesday, 08/02/2016
|
Nonparametric Prediction of Infectious Disease Incidence with Kernel Conditional Density Estimation
Evan Ray, University of Massachusetts; Krzysztof Sakrejda, University of Massachusetts - Amherst; Stephen A. Lauer, University of Massachusetts - Amherst; Nicholas G. Reich, University of Massachusetts - Amherst
|
Asymptotic Properties of Hazard Rate Estimator in Censored Linear Regression
Fuxia Cheng, Illinois State University
|
Kernel-Based Association Test in Microbiome-Profiling Studies with Multivariate Outcomes
Xiang Zhan, Fred Hutchinson Cancer Research Center
8:35 AM
|
Kernel-Based Association Mapping in Ancestrally Diverse Populations
Timothy A. Thornton, University of Washington; Caitlin McHugh, University of Washington; Matthew Conomos, University of Washington
9:00 AM
|
Principal Quantile Regression for Sufficient Dimension Reduction with Heteroscedasticity
Chong Wang, North Carolina State University; Yichao Wu, North Carolina State University; Seeing Jun Shin, Korea University
9:15 AM
|
Kernel Machine Statistical Approaches to Genetic Association Testing in Longitudinal Studies
Zuoheng Wang, Yale University; Zhong Wang, Cornell University
9:15 AM
|
Asymptotic Properties of Hazard Rate Estimator in Censored Linear Regression
Fuxia Cheng, Illinois State University
9:30 AM
|
Applying Kernel Density Estimation of Directional Data to Analyze Head Flatness and Asymmetry
Lasse Holmstrom, University of Oulu; Ville Vuollo, University of Oulu; Henri Aarnivala, University of Oulu; Virpi Harila, University of Oulu; Tuomo Heikkinen, University of Oulu; Pertti Pirttiniemi, University of Oulu; Arja Marita Valkama, University of Oulu
9:35 AM
|
Kernel Machine Methods for Genetic Studies with High-Dimensional and Complex Outcomes
Michael C. Wu, Fred Hutchinson Cancer Research Center; Xiang Zhan, Fred Hutchinson Cancer Research Center; Ni Zhao, Fred Hutchinson Cancer Research Center
9:50 AM
|
Probabilistic Integration: A Role for Statisticians in Numerical Analysis?
Francois-Xavier Briol, University of Warwick; Chris J. Oates, University of Technology Sydney; Mark Girolami, University of Warwick/The Alan Turing Institute for Data Science; Michael A. Osborne, University of Oxford; Dino Sejdinovic, University of Oxford
10:55 AM
|
Model Checking in Errors-in-Variable Tobit Regression Using Validation Data
Pei Geng
11:50 AM
|
Another Look at Distance-Weighted Discrimination
Boxiang Wang, University of Minnesota; Hui Zou, University of Minnesota
11:55 AM
|
A New Set of Asymmetric Filters for Real Time Trend-Cycle Estimation
Estella Dagum, University of Bologna; Silvia Bianconcini, University of Bologna
11:55 AM
|
A Kernel-Based Method for the Forensic Inference of the Source of Small Particles Characterized Using Compositional Data
Douglas Armstrong, San Diego State University; Cedric Neumann, San Diego State University; Christopher Saunders, MITRE/South Dakota State University; David Stoney, Stoney Forensic
11:55 AM
|
Bilinear Regression with Matrix Covariates in High Dimensions
Dan Yang, Rutgers University; Dong Wang; Hongtu Zhu, The University of North Carolina at Chapel Hill; Haipeng Shen, The University of Hong Kong
2:25 PM
|
Wednesday, 08/03/2016
|
Semiparametric Estimation of Longitudinal Data with Nonignorable Attrition Using Refreshment Samples
Jianfei Zheng, Oregon State University; Lan Xue, Oregon State University
8:50 AM
|
Using Moving Averages and Basis Functions to Create Spatial Models for Stream Networks
Jay Ver Hoef, NOAA/NMFS National Marine Mammal Lab
8:55 AM
|
Human Detection from Images with Supervised Kernel PCA
Yishi Wang, The University of North Carolina at Wilmington; Troy Kling, University of Florida
9:35 AM
|
Unified Inference for Sparse and Dense Longitudinal Data in Time-Varying Coefficient Models
Yixin Chen, Sanofi; Weixin Yao, University of California at Riverside
9:50 AM
|
Covariate Balancing Propensity Score via Tailored Loss Function
Qingyuan Zhao, Stanford University; Trevor Hastie, Stanford University
11:05 AM
|
Kernel Penalized Regression Models for Microbiome Data
Timothy Randolph, Fred Hutchinson Cancer Research Center; Ali Shojaie, University of Washington; Sen Zhao, University of Washington
11:25 AM
|
Integrated Kernel Learning for Genomic Data Mining and Prediction
Xuefeng Wang, SUNY Stony Brook; Zhenyu Zhang, SUNY Stony Brook; Minqin Chen, SUNY Stony Brook
11:25 AM
|
Conditional Inference for the Kernel Association Tests
Kai Wang, University of Iowa
3:05 PM
|
Thursday, 08/04/2016
|
Nonparametric Methods for Detecting Large-Scale Structure
Yen-Chi Chen, Carnegie Mellon University; Christopher Genovese, Carnegie Mellon University; Larry Wasserman, Carnegie Mellon University; Peter Freeman, Carnegie Mellon University; Shirley Ho, Carnegie Mellon University
9:25 AM
|
Nonparametric Kernel Density Estimation Using Auxiliary Information from Complex Survey Data
Sayed A. Mostafa, Oklahoma State University; Ibrahim A. Ahmad, Oklahoma State University
9:35 AM
|
The Functional False Discovery Rate Methodology and Applications to Genomics
Xiongzhi Chen, Princeton; David G. Robinson, Stack Overflow; John D. Storey, Princeton
9:35 AM
|
Statistical Methods for Global and Subnetwork Connectomic Analyses
Russell Shinohara, University of Pennsylvania; Simon Vandekar, University of Pennsylvania
9:50 AM
|
Hierarchical Statistical Analysis of Binary Spatial Data Using Kernel Principal Component Analysis
Bohai Zhang, University of Wollongong; Noel Cressie, University of Wollongong
9:50 AM
|
Robust Cluster-Based Estimators of Mean Vector and Covariance Matrix
Michael Pokojovy, Karlsruhe Institute of Technology; J. Marcus Jobe, Miami University of Ohio (Retired)
11:20 AM
|
|
|