Legend:
CC = Vancouver Convention Centre
F = Fairmont Waterfront Vancouver
* = applied session ! = JSM meeting theme
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198
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Mon, 7/30/2018,
11:35 AM -
12:20 PM
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CC-West Hall B
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SPEED: Nonparametric Statistics: Estimation, Testing, and Modeling — Contributed Poster Presentations
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Section on Nonparametric Statistics
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Chair(s): Paul McNicholas, McMaster University
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Oral Presentations
for this session.
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1:
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Quantile Function Modeling Applied to Time Between Healthcare-Associated Infection Events
Jonathan R Edwards, Center for Disease Control & Prevention
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2:
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Model Class Reliance: Variable Importance Measures for Any Machine Learning Model Class, from the
Aaron Fisher, Harvard University; Cynthia Rudin, Duke University; Francesca Dominici, Harvard T. H. Chan School of Public Health
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3:
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Random Conditional Histogram Based Density Estimation with Applications in Probabilistic Forecasting
Rui Li, North Carolina State University; Howard D Bondell, University of Melbourne; Brian Reich, North Carolina State University
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4:
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Tangent Field and Multi-Fractional Brownian Motion with Applications on Stock Indices
Jinqi Shen, University of Michigan; Tailen Hsing, University of Michigan
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5:
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Consistent Goodness-of-Fit Tests for Gamma Distributions Based on Empirical Hankel Transforms
Elena Hadjicosta, Penn State University; Donald Richards, Penn State University
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6:
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Convergence Rates of a Partition Based Bayesian Multivariate Density Estimation Method
Linxi Liu, Columbia University; Dangna Li, Stanford University; Wing Hung Wong, Stanford University
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7:
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A Bootstrap-Based Test for Distributional Symmetry in SO(3)
Ulrike Genschel, Iowa State University; Daniel Nordman, Iowa State University; Stephen Vardeman, Iowa State University; Yalin Rao, Iowa State University
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8:
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Approximate Inference for Large Non-Gaussian Spatial Data
Daniel Zilber, Texas A&M University; Matthias Katzfuss, Texas A&M University
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9:
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Quantile-Optimal Treatment Regimes with Censored Data
Yu Zhou, University of Minnesota; Lan Wang, University of Minnesota; Rui Song, North Carolina State University
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10:
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Multiple Imputation Using Denoising Autoencoders
Lovedeep Gondara
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11:
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Coverage Probability of Empirical Likelihood for Dependent Data
Guangxing Wang, University of California, Davis; Wolfgang Polonik, University of California, Davis
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12:
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Semiparametric Regression for Measurement Error Model with Heteroscedastic Error
Mengyan Li; Yanyuan Ma, Penn State University; Runze Li, Penn State University
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13:
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Estimation of Regression Function Using Shannon's Entropy
Yi Mao, University of California, Riverside; Aman Ullah, University of California, Riverside
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14:
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Wasserstein Gradients for the Temporal Evolution of Probability Distributions
Yaqing Chen, University of California, Davis; Hans Mueller, UC Davis
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15:
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Constrained Bayesian Inference Through Posterior Projections
Sayan Patra, Duke University; David B Dunson, Duke University
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17:
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A DCp Criterion for Nonparametric First Derivative Estimation
Sisheng Liu, Fred Hutchinson Cancer Research Center; Richard Charnigo, University of Kentucky; Cidambi Srinivasan, University of Kentucky
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19:
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Statistical Methods for the Analysis of Ventilator-Free Days
Charity Morgan
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