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Keyword Search Criteria: non-parametric returned 22 record(s)
Sunday, 07/28/2019
Two Novel Non-Parametric Methods for the Analysis of Stepped-Wedge Cluster Randomized Trials
Lee Kennedy-Shaffer, Harvard University; Victor De Gruttola, Harvard T.H. Chan School of Public Health; Marc Lipsitch, Harvard T.H. Chan School of Public Health
5:05 PM

Robust Fitting and Smoothing Parameter Selection for GAMLSS
William Aeberhard, Stevens Institute of Technology; Eva Cantoni, University of Geneva; Giampiero Marra, University College London; Rosalba Radice, City, University of London
5:05 PM

Monday, 07/29/2019
Strong Consistency of the Non-Parametric Maximum Likelihood Estimator of Correlated Normal Random Variables
Xiangjie Xue, University of Auckland


Analysis Methods for Skewed Data Distributions
Annpey Pong


Precise and Accurate Power of the Rank-Sum Test for a Continuous Variable
Katie Rose Mollan, University of North Carolina Chapel Hill; Ilana Trumble, University of Colorado Denver; Sarah Reifeis, University of North Carolina at Chapel Hill; Orlando Ferrer, University of North Carolina Chapel Hill; Camden P Bay, Harvard Medical School; Pedro L. Baldoni, University of North Carolina At Chapel Hill; Michael Hudgens, University of North Carolina at Chapel Hill


Analysis Methods for Skewed Data Distributions
Annpey Pong
10:50 AM

Precise and Accurate Power of the Rank-Sum Test for a Continuous Variable
Katie Rose Mollan, University of North Carolina Chapel Hill; Ilana Trumble, University of Colorado Denver; Sarah Reifeis, University of North Carolina at Chapel Hill; Orlando Ferrer, University of North Carolina Chapel Hill; Camden P Bay, Harvard Medical School; Pedro L. Baldoni, University of North Carolina At Chapel Hill; Michael Hudgens, University of North Carolina at Chapel Hill
11:00 AM

Identifying Patterns of Multi-Genetic/Epigenetic Factors via Non-Parametric Clustering
Meredith Ray, University of Memphis; Lauren Sobral, University of Memphis; S. Hasan Arshad, University of Southampton; John Holloway, University of Southampton; Wilfried JJ Karmaus, University of Memphis; Hongmei Zhang, University of Memphis
11:50 AM

Sequential Change-Point Detection for High-Dimensional and Non-Euclidean Data
Lynna Chu, University of California, Davis; Hao Chen, University of California, Davis
11:55 AM

A Machine-Learning Approach to Extract Remote-Sensing Features for Predicting Crop Yield
Luca Sartore, National Institute of Statistical Sciences; Arthur Rosales, National Agricultural Statistics Service; David Johnson, National Agricultural Statistics Service; Mary Frances Dorn, Los Alamos National Laboratory; Clifford Spiegelman, Texas A&M University
3:05 PM

Gaussian Process Mixtures for Estimating Heterogeneous Treatment Effects
Abbas Zaidi, Duke University - Statistics
3:05 PM

Tuesday, 07/30/2019
Estimating Uncertainty of Small Area Estimates via Multilevel Regression and Post-Stratification: a Comparison of Bayesian, Bootstrapping and Monte Carlo Simulation Methods
Yan Wang, CDC; Xingyou Zhang, Economic Research Service, USDA; James B. Holt, CDC; Hua Lu, CDC; Janet B. Croft, CDC; Kurt J. Greenlund, CDC


An Approach to Multiple Imputation That Avoids the Inclusion of an Outcome in the Imputation Model
Monelle Tamegnon, Janssen R&D
8:35 AM

Scalable Gapfilling in Spatio-Temporal Remote Sensing Data
Reinhard Furrer, University of Zurich
10:55 AM

Quantile Regression for Survival Analysis with Complex Censoring and Truncation Using a Novel Likelihood Approximation
Bryan Keith McNair, University of Colorado Anschutz Medical Campus; Debashis Ghosh, University of Colorado Anschutz Medical Campus; Gary Grunwald, University of Colorado Anschutz Medical Campus
2:35 PM

Wednesday, 07/31/2019
Factor Analysis for Spatial Surfaces Using a Bayesian Non-Parametric Prior
Samuel Berchuck, Duke University; Mark Janko, Duke University; Sayan Mukherjee, Duke University


Embarrassingly Parallel Inference for Gaussian Processes
Michael Minyi Zhang, Princeton University; Sinead Williamson, UT Austin


Using ToxCast Data for Statistical Research in Chemical Risk Assessment.
Matthew W Wheeler, CDC/NIOSH
8:35 AM

AdapstSPEC Squared: a Bayesian Method for Locally Adaptive Non-Parametric Spectral Density Estimation for Non-Stationary Time Series
Nicholas James, Centre for Translational Data Science; Sally Cripps, University of Sydney; Ori Rosen, University of Texas at El Paso
9:00 AM

Embarrassingly Parallel Inference for Gaussian Processes
Michael Minyi Zhang, Princeton University; Sinead Williamson, UT Austin
9:40 AM

Non-Parametric Test and Similarity Measure for Matching Bullets
Ganesh Krishnan, Center for Statistics and Applications in Forensic Evidence (CSAFE) and Iowa State University; Heike Hofmann, Iowa State University
2:05 PM

A Random Neighborhood Method for Bayesian Semiparametric Conditional Density Estimation
Nong Shang, CDC
3:20 PM