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CC = Vancouver Convention Centre F = Fairmont Waterfront Vancouver
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Keyword Search Criteria: temporal returned 89 record(s)
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Sunday, 07/29/2018
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Spatio-Temporal Analysis of Children and Adolescents' Emergency Department Use for Mental Health Reasons in Alberta, Canada
Michelle Thiessen, Simon Fraser University; Joan Hu, Simon Fraser University; Rhonda J. Rosychuk, University of Alberta
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Spatiotemporal Analysis of Environmental Health Risk
Renjun Ma, University of New Brunswick; Edward Hughes, Edward Hughes Consulting
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The Analysis of Face Perception MEG and EEG Data Using a Potts-Mixture Spatiotemporal Joint Model
Yin Song, University of Victoria; Farouk Nathoo; Arif Babul, University of Victoria
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Temporally Dependent Accelerated Failure Time Model for Capturing the Impact of Events That Alter Survival in Disease Mapping
Rachel Carroll, National Institute of Environmental Health Sciences; Andrew B Lawson, Medical University of South Carolina ; Shanshan Zhao, National Institute of Environmental Health Sciences
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Benchmarking Monthly Seasonally Adjusted Series to Quarterly Adjustments
Brian Monsell, U.S. Census Bureau; Tucker S McElroy, U.S. Census Bureau
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Cluster-Temporal Models for Disease Surveillance with an Application to Dengue Fever Infection in Taiwan
Pei-Sheng Lin
2:05 PM
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Benchmarking Monthly Seasonally Adjusted Series to Quarterly Adjustments
Brian Monsell, U.S. Census Bureau; Tucker S McElroy, U.S. Census Bureau
2:20 PM
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Space and Space-Time Cluster Detection Using the LASSO in Disease Mapping
Ronald Gangnon, University of Wisconsin; Maria Kamenetsky, University of Wisconsin-Madison; Junho Lee, King Abdullah University of Science and Technology; Jun Zhu, University of Wisconsin - Madison
2:25 PM
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Temporally Dependent Accelerated Failure Time Model for Capturing the Impact of Events That Alter Survival in Disease Mapping
Rachel Carroll, National Institute of Environmental Health Sciences; Andrew B Lawson, Medical University of South Carolina ; Shanshan Zhao, National Institute of Environmental Health Sciences
2:45 PM
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Semiparametric Regression Methods for Spatial and Spatio-Temporal Data with Application to Fine Particulate Matter (PM2.5) Studies
Lily Wang, Iowa State University; Jingru Mu, Iowa State University; Guannan Wang, College of William & Mary
3:25 PM
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Semiparametric Regression Methods for Temporal Processes Subject to Multiple Sources of Censoring
Douglas E. Schaubel, University of Michigan, Ann Arbor; Tianyu Zhan, AbbVie Inc.
3:25 PM
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Spatio-Temporal Models for Big Multinomial Data Using the Conditional Multivariate Logit-Beta Distribution
Scott H. Holan, University of Missouri/U.S. Census Bureau; Jonathan R Bradley, Florida State University; Christopher K. Wikle, University of Missouri
4:05 PM
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A Computationally Tractable Estimation Procedure for Self-Exciting Spatio-Temporal Point Process Models
James Molyneux, UCLA Statistics; Frederic Paik Schoenberg, UCLA
4:05 PM
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Velocities for Point Patterns
Erin Schliep, University of Missouri; Alan E Gelfand, Duke University
4:20 PM
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A Time Series Analysis of Global Temperature Anomaly
Seong-Tae Kim, NC A&T State Univ; Man Sik Park, Sungshin Women's University; Jaime Henderson, NC A&T State University
4:35 PM
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Statistical Modeling of Disease in Ecological Communities Using Partial Differential Equations
Trevor Hefley, Kansas State University; Haoyu Zhang, Kansas State University; Robin Russell, United States Geological Survey; Anne Ballmann, United States Geological Survey
4:45 PM
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Assessing Current Temporal and Space-Time Anomalies of Disease Incidence
Chih-Chieh Wu, National Cheng Kung University; Chien-Hsiun Chen, Academia Sinica; Sanjay Shete, The University of Texas MD Anderson Cancer Center
5:05 PM
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A Spectral-Based Kolmogorov-Smirnov Method for Detecting the Information Loss of Temporal Aggregation
Bu Hyoung Lee, Loyola University Maryland
5:05 PM
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A Spatiotemporal Recommendation Engine for Malaria Control
Qian Guan, North Carolina State University; Brian Reich, North Carolina State University; Eric Laber, North Carlina State University
5:05 PM
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Risk Prediction Through Temporal Phenotyping and Incorporation of MedDRA Information
Yong Chen, University of Pennsylvania; Rui Duan, University of Pennsylvania
5:20 PM
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Combining Disease Surveillance and Animal Movement Data to Predict Infectious Disease Spread
Sahar Zarmehri, The Pennsylvania State University; Ephraim Hanks, The Pennsylvania State University; Lin Lin, The Pennsylvania State University
5:20 PM
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Estimating the Changing Nature of Scotland's Health Inequalities Using a Multivariate Spatio-Temporal Model
Eilidh Jack, University of Glasgow; Duncan Lee, University of Glasgow; Nema Dean, University of Glasgow
5:25 PM
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Monday, 07/30/2018
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Sequential Modeling of Spatial Temporal Image Data
Shufei Ge, Simon Fraser University; Shijia Wang, Simon Fraser University; Liangliang Wang, Simon Fraser University; Farouk Nathoo, University of Victoria
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Spatiotemporal Data Fusion of Remote Sensing Data Using Space-Time Dynamic Linear Models
Maggie Johnson, SAMSI; Brian Reich, North Carolina State University; Marschall Furman, North Carolina State University; Joshua Gray, North Carolina State University
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Spatial and Temporal Trends in Weather Forecasting and Improving Predictions with ARIMA Modeling
Manasi Sheth, California State University; Mahalaxmi Gundreddy, California State University East Bay; Vivek Shah, Applied Materials, Inc. ; Pritam Barlota, California State University East Bay; Eric Suess, CSU East Bay
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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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Verification, Diagnosis, and Adjustment of Current Temperature Forecasting System in the United States
Han-Yueh Lee, National Tsing Hua University; Hsiao-Ting Lin, National Tsing Hua University
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Discriminant Analysis for High-Dimensional Spatio-Temporal Data
Rejaul Karim, Michigan State University; Taps Maiti, Michigan State University; Chae Young Lim, Seoul National University
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Uncertainty Quantification of Weather Forecasts
Yu Wang, University of British Columbia; Gong Zhang, University of British Columbia; Boyi Hu, University of British Columbia; Ho Yin Ho, University of British Columbia
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Do I Really Need a Jacket?
Joe Watson, UBC; Qiong Zhang, UBC; Daniel Dinsdale, The University of British Columbia
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Evaluating Proxy Influence and Reconstruction Skill in Data Assimilation Based Climate Field Reconstructions Using Extremal Depth
Trevor Harris, University of Illinois at Urbana-Champaign, Statistics; Bo Li, University of Illinois at Urbana-Champaign; Nathan Steiger, Columbia University, Lamont-Doherty Earth Observatory; Jason Smerdon, Columbia University, Lamont-Doherty Earth Observatory; Justin Jacobs, Sandia National Laboratories
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Exploring Spatiotemporal Patterns in Forecast Data
Erin Howard, Oregon State University; Matthew Higham
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Addressing Time of Measurement Bias in Records of Daily Temperature Extrema: A Spatio-Temporal Imputation Strategy
Maxime Rischard, Harvard Statistics; Natesh Pillai, Harvard Statistics; Karen A. McKinnon, National Center for Atmospheric Research; Descartes Labs
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Nonstationarity in Spatiotemporal Fisheries Models
John Best, School of Aquatic and Fishery Sciences, University of Washington
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Depth-Based Clustering for Multivariate Time Series with Applications in Wind Energy
Laura L. Tupper, Williams College
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Battle Royale: Machine Learning vs. Mechanistically Motivated Spatio-Temporal Models for Atmospheric and Oceanic Processes
Christopher K. Wikle, University of Missouri
8:35 AM
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Estimation of Change Point in Temporally Evolving Networks
Moulinath Banerjee, University of Michigan; George Michailidis, University of Florida; Monika Bhatacharjee, University of Florida
8:35 AM
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Verification, Diagnosis, and Adjustment of Current Temperature Forecasting System in the United States
Han-Yueh Lee, National Tsing Hua University; Hsiao-Ting Lin, National Tsing Hua University
8:55 AM
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Detection of Local Discrepancies Between Two Spatio-Temporal Random Fields
Bo Li, University of Illinois at Urbana-Champaign; Xianyang Zhang, Texas A&M University; Sooin Yun, Univeristy of Illinois at Urbana-Champaign
9:00 AM
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Spatial Correlation in Weather Forecast Accuracy: A Functional Time Series Approach
Phillip Alexander Jang, Cornell University
9:00 AM
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Uncertainty Quantification of Weather Forecasts
Yu Wang, University of British Columbia; Gong Zhang, University of British Columbia; Boyi Hu, University of British Columbia; Ho Yin Ho, University of British Columbia
9:15 AM
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Do I Really Need a Jacket?
Joe Watson, UBC; Qiong Zhang, UBC; Daniel Dinsdale, The University of British Columbia
9:35 AM
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Wasserstein Gradients for the Temporal Evolution of Probability Distributions
Yaqing Chen, University of California, Davis; Hans Mueller, UC Davis
9:45 AM
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Exploring Spatiotemporal Patterns in Forecast Data
Erin Howard, Oregon State University; Matthew Higham
10:00 AM
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Evaluating Proxy Influence and Reconstruction Skill in Data Assimilation Based Climate Field Reconstructions Using Extremal Depth
Trevor Harris, University of Illinois at Urbana-Champaign, Statistics; Bo Li, University of Illinois at Urbana-Champaign; Nathan Steiger, Columbia University, Lamont-Doherty Earth Observatory; Jason Smerdon, Columbia University, Lamont-Doherty Earth Observatory; Justin Jacobs, Sandia National Laboratories
10:45 AM
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Addressing Time of Measurement Bias in Records of Daily Temperature Extrema: A Spatio-Temporal Imputation Strategy
Maxime Rischard, Harvard Statistics; Natesh Pillai, Harvard Statistics; Karen A. McKinnon, National Center for Atmospheric Research; Descartes Labs
10:50 AM
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Discriminant Analysis for High-Dimensional Spatio-Temporal Data
Rejaul Karim, Michigan State University; Taps Maiti, Michigan State University; Chae Young Lim, Seoul National University
11:05 AM
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Spatial Clustering Using Spatio-Temporal Network Data
Ashwini Venkatasubramaniam, University of Glasgow; Ludger Evers, University of Glasgow; Konstantinos Ampountolas, University of Glasgow
11:05 AM
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Nonstationarity in Spatiotemporal Fisheries Models
John Best, School of Aquatic and Fishery Sciences, University of Washington
11:35 AM
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Bias Correction of Arctic Sea Ice Contours
Hannah Director, University of Washington; Adrian Raftery, University of Washington; Cecilia Bitz, University of Washington
2:05 PM
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Bayesian Disaggregation of Spatio-Temporal Survey-Based Estimates: An Application to the American Community Survey
Marco H. Benedetti, University of Michigan; Veronica J. Berrocal, University of Michigan
2:05 PM
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Latent Variable Modeling for Extracting Consensus Estimates of Precipitation in High Mountain Asia
William F. Christensen, Brigham Young University; Shane Reese, Brigham Young University; Summer Rupper, University of Utah; Michael F. Christensen, Brigham Young University; Brenton Mabey, Brigham Young University; Katie Larson, Brigham Young University
3:05 PM
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Spatio-Temporal Models for Probabilistic Wind Vector Forecasting in Saudi Arabia
Amanda Lenzi, King Abdullah University of Science and Technology; Marc G Genton, King Abdullah University of Science and Technology
3:20 PM
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Tuesday, 07/31/2018
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Bayesian Function Data Analysis for Weather Forecast
Duchwan Ryu, Northern Illinois University; Hao Shen, Northern Illinois University
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Committee on Law and Justice Statistics
Joel Hunt, National Institute of Justice; Patryk Miziula, deepsense.ai; George Mohler, IUPUI; Tuanjie Tong, Intuidex, Inc.; Dylan Fitzpatrick, Carnegie Mellon University
8:35 AM
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Spatial-Temporal Latent Variable Models: a Potential Waste of Space and Time?
Francis Hui, Mathematical Sciences Institute
8:35 AM
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Spatio-Temporally Explicit Model Averaging for Forecasting of Alaskan Groundfish Catch
Hannah Correia, Auburn University
8:50 AM
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Multi-Resolution Filters for Massive Spatio-Temporal Data
Marcin Jurek, Texas A&M University; Matthias Katzfuss, Texas A&M University
8:55 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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Spatial-Temporal Small Area Estimation Models for Cancer Incidence
Benmei Liu, National Cancer Institute; Li Zhu, National Cancer Institute; Huann-Sheng Chen, National Cancer Institute; Joe Zou, Information Management Services; Rebecca Siegel, American Cancer Society; Kim D. Miller, American Cancer Society; Ahmedin Jemal, American Cancer Society; Eric J. Feuer, National Cancer Institute
9:15 AM
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Functional Analysis of Spatial Aggregation Regions of Jeffrey Pine Beetle-Attack Within the Lake Tahoe Basin
Ekaterina Smirnova, University of Montana; Omid Khormali, University of Montana; Joel M Egan, Forest Health Protection
9:20 AM
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Dynamic Fused Gaussian Process for Massive Sea Surface Temperature Data from MODIS and AMSR-E Instruments
Emily L. Kang, University of Cincinnati; Pulong Ma, University of Cincinnati
9:55 AM
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Traversing the Space-Time Cube
Noel Cressie, University of Wollongong
11:00 AM
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Horse for Courses: Empirical Vs Mechanistic Modeling for Spatio-Temporal Point Process Data
Peter John Diggle, Lancaster University
11:25 AM
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Time-Stratified LOESS Smoothers for Estimating and Testing Temporal Heterogeneity in Spatial Risk Patterns
Yannan Tang, UCI
11:35 AM
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Monitoring Vaccine Safety by Studying Temporal Trend of Adverse Events Using VAERS
Jing Huang, University of Pennsylvania; Yi Cai, Pieces Technology; Jingcheng Du, University of Texas Health Science Center; Ruosha Li, University of Texas School of Public Health; Susan S Ellenberg, University of Pennsylvania; Sean Hennessy, University of Pennsylvania; Cui Tao, University of Texas Health Science Center; Yong Chen, University of Pennsylvania
11:35 AM
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Change-Detection-Assisted Multiple Testing for Spatiotemporal Data
Lilun Du, HKUST; Yunlong Wang, Nankai University; Changliang Zou, Nankai University; Zhaojun Wang, Nankai University
2:05 PM
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Multi-Scale Modeling of Animal Movement and General Behavior Data Using Hidden Markov Models with Hierarchical Structures
Vianey Leos Barajas, Iowa State University; Eric Gangloff, Station d'Ecologie Théorique et Expérimentale du CNRS; Timo Adam, Bielefeld University; Roland Langrock, Bielefeld University; Juan Morales, INIBIOMA-CRUB CONICET
2:30 PM
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Changes in Spatiotemporal Precipitation Patterns in Changing Climate Conditions
Won Chang, University of Cincinnati; Michael Stein, University of Chicago, Dept. of Statistics; Jiali Wang, Argonne National Laboratory; V. Rao Kotamarthi, Argonne National Laboratory; Elisabeth J. Moyer, University of Chicago
2:45 PM
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Fusing Multiple Existing Space-Time Land Cover Products
Amanda Hering, Baylor University; Nicolás Rodríguez-Jeangros, Colorado School of Mines; John McCray, Colorado School of Mines; Timothy Kaiser, Colorado School of Mines
3:05 PM
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Outlier Detection in Non-Stationary Data Streams
Priyanga Dilini Talagala, Monash University, Australia; Rob J Hyndman, Monash University; Kate Smith-Miles, University of Melbourne, Australia
3:05 PM
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Recreating Plays - Testing Shot Policies in Basketball Using Non-Stationary Markov Decision Processes
Nathan Sandholtz, Simon Fraser University; Luke Bornn, Sacramento Kings and Simon Fraser University
3:05 PM
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Hierarchical Nonlinear Spatio-Temporal Agent-Based Models for Collective Animal Movement
Patrick McDermott, Univeristy of Missouri; Christopher K. Wikle, University of Missouri; Joshua Millspaugh, University of Montana
3:20 PM
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Wednesday, 08/01/2018
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Quantifying Geographic Regions of Excess Stillbirth Risk in the Presence of Spatio-Temporal Heterogeneity
David Zahrieh, Mayo Clinic Rochester; Jacob J Oleson, The University of Iowa; Paul A Romitti, The University of Iowa
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Online Sequential Monitoring of Disease Incidence Rates with an Application to the Florida Influenza-Like Illness Data
Kai Yang, University of Florida; Peihua Qiu, University of Florida
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From Intuition to Objective Analysis: Data-Oriented Strategies at F.C. Barcelona
Javier Eduardo Fernández, F.C. Barcelona
9:00 AM
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Online Sequential Monitoring of Disease Incidence Rates with an Application to the Florida Influenza-Like Illness Data
Kai Yang, University of Florida; Peihua Qiu, University of Florida
9:35 AM
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A Bayesian Spatial-Temporal Model with Latent Multivariate Log-Gamma Random Processes with Application to Earthquake Magnitudes
Guanyu Hu, University of Connecticut; Jonathan R Bradley, Florida State University
10:35 AM
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A Scalable Multi-Resolution Spatio-Temporal Model for Brain Activation and Connectivity in fMRI Data
Stefano Castruccio, University of Notre Dame; Hernando Ombao, King Abdullah University of Science and Technology; Marc G Genton, King Abdullah University of Science and Technology
10:55 AM
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Spatio-Temporal Modeling of Heavy-Tailed Data via Non-Gaussian Latent Processes
Gabriel Huerta, University of New Mexico; Kellin Rumsey, University of New Mexico
11:05 AM
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Big Data, Google, and Infectious Disease Prediction: a Statistical Perspective
Shihao Yang; S. C. Kou, Harvard University; Mauricio Santillana, Harvard University
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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A Fault Prediction Method for Temporal Data
Emanuele Gramuglia, University of Oslo
2:35 PM
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Using Joint Models of Fisher Targeting and Resource Abundance to Account for Preferential Sampling in Fisheries
James Turner Thorson, Northwest Fisheries Science Center, National Marine Fisheries Service, NOAA; Paul Conn, Marine Mammal Laboratory, Alaska Fisheries Science Center, NOAA, NMFS; Devin Johnson, Alaska Fisheries Science Center (NOAA); John Best, School of Aquatic and Fishery Sciences, University of Washington
2:55 PM
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Thursday, 08/02/2018
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Modeling Preferential Site Selection in Networks Used to Monitor Environmental Spatio-Temporal Processes
Jim Zidek, University of British Columbia; Joe Watson, UBC; Gavin Shaddick , University of Exeter
8:35 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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Clustered-Temporal Bayesian Model for Brain Connectivity in Neuroimaging Data
Nairita Ghosal, University of Illinois at Chicago; Sanjib Basu, University of Illinois at Chicago
9:20 AM
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Regional Air Quality Assessment That Adjusts for Meterological Confounding
Shuyi Zhang, Peking University; Song Xi Chen, Peking University; Bin Guo, Southwestern University of Finance and Economics; Wei Lin, Peking University; Hengfang Wang, Iowa State University
9:20 AM
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Are Zero-Modified Models the Panacea for Epidemiological Data with Excess Zeroes?
Ali Arab, Georgetown University; Frederic Mortier, CIRAD, UPR Forests and Societies/Forests and Societies, Univ Montpellier, CIRAD
10:50 AM
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