Keyword Search
Legend:
CC = Baltimore Convention Center, H = Hilton Baltimore
* = applied session ! = JSM meeting theme
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Keyword Search Criteria: Station returned 27 record(s)
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Sunday, 07/30/2017
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Constant-Gain Stochastic Gradient Algorithm in Nonstationary Environment
Jingyi Zhu, Johns Hopkins University Applied Mathematics and Statistics; James C Spall, Applied Physics Laboratory
2:35 PM
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Combining Unit Root Tests with Machine Learning Techniques
Edward Herranz; James Gentle, George Mason University
3:35 PM
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GRADIENT-BASED STRUCTURAL CHANGE DETECTION for NON-STATIONARY TIME SERIES M-ESTIMATION
Zhou Zhou, University of Toronto
4:45 PM
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Confidence regions for spatial excursion sets from repeated random field observations, with an application to climate
Max Sommerfeld, Universität Göttingen; Stephen Sain, The Climate Corporation; Armin Schwartzman, University of California, San Diego
5:20 PM
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Adaptive Bayesian Power Spectrum Analysis of Multivariate Nonstationary Time Series
Zeda Li, Temple University; Robert T Krafty, Department of Biostatistics, University of Pittsburgh
5:20 PM
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Predicting Crude Oil Price Using the Non-Stationary Extreme Value Modeling
Kumer Das, Lamar University; Audrene Edwards, Lamar University
5:35 PM
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Monday, 07/31/2017
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Estimation of Locally Stationary Spatial Processes with Application to the American Community Survey
Daniel Weinberg, U.S. Census Bureau; Tucker McElroy, U. S. Census Bureau; Soumendra N Lahiri, North Carolina State University
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Estimation of Locally Stationary Spatial Processes with Applications to the American Community Survey
Daniel Weinberg, U.S. Census Bureau; Tucker McElroy, U. S. Census Bureau; Soumendra N Lahiri, North Carolina State University
11:00 AM
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Consistency of Classical Variogram Estimators on the Sphere
Haimeng Zhang, University of North Carolina at Greensboro; Chunfeng Huang, Indiana University - Bloomington; Wenshuang Wang, Mississippi State University; Chris Vanlangenberg, APEX Analytix
2:05 PM
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Local Variance Estimation in a Spatio-Temporal Process
Eunice Kim
2:20 PM
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Bayesian Semiparametric Covariance Function Estimation for Stationary Gaussian Processes by Overwhelming Force
John Ensley
2:35 PM
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Tuesday, 08/01/2017
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A New Nonparametric Estimation Method for multi-fractional Gaussian proces and Its Minimax Properties
Jinqi Shen, University of Michigan; Tailen Hsing, University of Michigan
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Robust Mode Detection Schemes in a Non-Stationary Environment
Francois Alastair Marshall, Queen's University
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A Joint Model Approach for Longitudinal Data with No Time Zero and Time-To-Event with a Competing Risk
Sung Duk Kim, National Cancer Institute/NIH; Olive Buhule, NICHD/NIH; Paul S. Albert, National Cancer Institute/NIH
9:50 AM
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Robust Mode Detection Schemes in a Non-Stationary Environment
Francois Alastair Marshall, Queen's University
11:50 AM
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A Comparison of Statistical Methods to Evaluate the Relationship Between Gestational Weight Gain and Gestational Age at Birth
Lucia Petito, University of California, Berkeley; Nicholas P. Jewell, University of California, Berkeley
2:35 PM
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Wednesday, 08/02/2017
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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
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Multiple change-point detection via multiscale MOSUM procedure with localised pruning
Haeran Cho, University of Bristol
8:35 AM
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Constructing Diffusion Index Forecasts in Nonstationary Data Environments: The Role of Common Stochastic Trends
Mohitosh Kejriwal, Purdue University; Haiqing Zhao, Purdue University
10:50 AM
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Statistical Analysis of Registration and Registered Imaging Data
John AD Aston, University of Cambridge; Eardi Lila, University of Cambridge
11:50 AM
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Efficient Estimation and Inference in Factor Models with Nonstationary Common And/Or Idiosyncratic Components
Haiqing Zhao, Purdue University; Mohitosh Kejriwal, Purdue University
2:20 PM
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Dynamic Functional Connectivity in Nonstationary Task-Related Brain Imaging and Neural Recording Data
Natalie Klein, Carnegie Mellon University; Robert E. Kass, Carnegie Mellon University; Valerie Ventura, Carnegie Mellon University; Jordan Rodu, Carnegie Mellon University
2:20 PM
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Predicting Solar Irradiance as a Function of Location and Time: Multiple Model Calibration, Non-Stationarity, and Non-Space-Filling Design
Benjamin Haaland, Georgia Institute of Technology
2:25 PM
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Dynamic Factor Model for Functional Time Series
Israel Martínez Hernández; Jesús Gonzalo, Universidad Carlos III de Madrid; Graciela González Farías, Centro de Investigación en Matemáticas, CIMAT
2:35 PM
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Conditional Adaptive Bayesian Spectral Analysis of Nonstationary Biomedical Time Series
Scott Bruce, Department of Statistical Science, Temple University; Martica H Hall, University of Pittsburgh; Daniel J Buysse, Department of Psychiatry, University of Pittsburgh; Robert T Krafty, Department of Biostatistics, University of Pittsburgh
2:50 PM
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