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CC = Vancouver Convention Centre F = Fairmont Waterfront Vancouver
* = applied session ! = JSM meeting theme
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Keyword Search Criteria: Time Series returned 94 record(s)
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Sunday, 07/29/2018
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Bayesian Nonparametric Hierarchical Models for Lightcurve Classification and Observation Decisions
David Edward Jones, Duke University and SAMSI; Sujit Ghosh, North Carolina State Univ.; Ana-Maria Staicu, NC State University; Ashish Mahabal, Caltech
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Nonparametric Measures of Local Causality and Tests of Local Non-Causality in Time Series
Felix Camirand Lemyre, School of mathematics and statistics, University of Melbourne; Taoufik Bouezmarni, Université de Sherbrooke; Jean-François Quessy, Université du Québec à Trois-Rivières
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Detection of Trend Onset in Environmental Time Series
Ying Zhang, Acadia University
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Advantageous Statistical Tools for Stock Market Investing
Kenneth Davis
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Predictive Inference for Locally Stationary Time Series with an Application to Climate Data
Srinjoy Das, UCSD; Dimitris Politis, UCSD
2:05 PM
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Advantageous Statistical Tools for Stock Market Investing
Kenneth Davis
2:05 PM
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Estimation of Change-Point for a Class of Count Time Series Models
Yunwei Cui, Towson University
2:35 PM
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The Measurement of the Aggregate Economic Performance for the United States via the Composite Economic Index (CEI)
Brian Sloboda, University of Phoenix; Chandrasekhar Putcha, California State University, Fullerton
2:50 PM
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Spectral Causality in Multivariate Signals: Beyond Linearity
Hernando Ombao, King Abdullah University of Science and Technology; Abdulrahman Althobaiti, Rutgers University and King Abdullah University of Science and Technology
2:55 PM
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Modeling Conditional Variance Functions Using Nonparametric Transfer Function Models
Jun Liu
3:05 PM
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Forecasting U.S. Textile Comparative Advantage Using Autoregressive Integrated Moving Average Models and Time Series Outlier Analysis
Lori Rothenberg, NC State University; Zahra Saki, NC State University; Marguerite Moore, NC State University
3:20 PM
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Partial Distance Correlation Screening for High-Dimensional Time Series
Kashif Yousuf, Columbia University; Yang Feng, Columbia University
4:05 PM
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Bootstrap Procedures for Detecting Multiple Persistence Shifts in a Heteroskedastic Time Series
Mohitosh Kejriwal, Purdue University; Xuewen Yu, Purdue 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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Dynamic Shrinkage Processes
Daniel R Kowal, Rice University; David Matteson, Cornell University; David Ruppert, Cornell University
4:45 PM
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Time Series Analysis Based on Gini: a Test for Reversibility
Amit Shelef, Sapir Academic College; Edna Schechtman, Ben Gurion Univ
4:50 PM
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Quantifying and Controlling for Sources of Technical Variation and Bias in Longitudinal Microbiome Surveys
Justin D Silverman, Duke University; Heather Durand, Duke University; Sayan Mukherjee, Duke University; Lawrence A David, Duke University
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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Bayesian Spatial Modeling via Kernel Convolutions on Complex-Valued fMRI Signals
Cheng-Han Yu, UC Santa Cruz; Raquel Prado, University of California Santa Cruz, Baskin School of Engineering
5:05 PM
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The Convex Mixture Transition Distribution: Granger Causality Networks for Categorical Time Series
Alex Tank; Emily Fox, University of Washington; Ali Shojaie, University of Washington
5:05 PM
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Monday, 07/30/2018
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Forecasting Artificial Earth Satellite Populations
James P. Howard, II, Johns Hopkins University Applied Physics Laboratory
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Bayesian Variable Selection of Stochastic Volatility Models in Financial Time Series
Feng Chi Liu
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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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Coherence-Based Time Series Clustering for Brain Connectivity Visualization
Carolina Euan Campos, KAUST; Ying Sun, KAUST; Hernando Ombao, King Abdullah University of Science and Technology
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Assessing Health Care Interventions via an Interrupted Time Series Model: Study Power and Design Considerations
Maricela Cruz, University of California, Irvine; Miriam Bender, University of California, Irvine; Daniel L. Gillen, University of California, Irvine; Hernando Ombao, King Abdullah University of Science and Technology
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Interrupted Time Series Analysis to Evaluate the Effect of a Multicenter Collaborative Effort to Improve Care for Adult Intensive Care Patients
Alai Tan, Ohio State University College of Nursing; Michele C. Balas, Ohio State University College of Nursing
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Spatial Correlation in Weather Forecast Accuracy: A Functional Time Series Approach
Phillip Alexander Jang, Cornell University
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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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Introducing Forecast Intervals with a Confidence Game
Robin Lock, St. Lawrence University
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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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Detecting Planets: Jointly Modeling Radial Velocity and Stellar Activity Time Series
David Edward Jones, Duke University and SAMSI; David Stenning, Imperial College London; Eric Ford, Penn State University; Robert Wolpert, Duke University; Thomas Loredo, Cornell University; Xavier Dumusque, Observatoire Astronomique de l'Universite de Geneve
8:35 AM
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Goodness of Fit Statistics Based on Quantile Periodogram for Time Series with Nonlinear Dynamic Volatility
Ta-Hsin Li, IBM T. J. Watson Research Center
8:35 AM
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Factor Models for High-Dimensional Dynamic Networks: With Application to International Trade Flow Time Series 1981--2015
Elynn CHEN, Rutgers University; Rong Chen, Rutgers University
8:35 AM
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Anticipating Brexit Effects; a Multivariate Approach to Detecting Change Points
Charlotte Gaughan, Office for National Statistics
8:35 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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New Methods for Threshold Variable Identification and Estimation in Threshold Dynamic Factor Models
Xialu Liu, San Diego State University; Rong Chen, Rutgers University
9:15 AM
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Lagged Hierarchical Semiparametric Models for Task-Based Dynamic Functional Connectivity (DFC)
Jaroslaw Harezlak, Indiana University Bloomington; Zikai Lin, Indiana University; Maria Kudela, Takeda Pharmaceuticals; Brandon Oberlin, Indiana University School of Medicine; Joaquin Goni, Purdue University; David A Kareken, Indiana University School of Medicine; Mario Dzemidzic, Indiana University School of Medicine
9:15 AM
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New Approach to Dimention Reduction for Volatility of Stationary Multivariate Time Series"
Chung Eun Lee, University of Tennessee, Knoxville; Xiaofeng Shao, University of Illinois at Urbana-Champaign
9:35 AM
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The Myths About Weather Forecasting
Yifan Wu, Simon Fraser University; Ying (Daisy) Yu, Simon Fraser University; Chuyuan (Cherlane) Lin, Simon Fraser University
9:40 AM
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Assessing Health Care Interventions via an Interrupted Time Series Model: Study Power and Design Considerations
Maricela Cruz, University of California, Irvine; Miriam Bender, University of California, Irvine; Daniel L. Gillen, University of California, Irvine; Hernando Ombao, King Abdullah University of Science and Technology
9:55 AM
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Introducing Forecast Intervals with a Confidence Game
Robin Lock, St. Lawrence University
9:55 AM
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Analysis of Rapidly Evolving Multivariate Oscillations
Sofia C Olhede, University College London; Adam Sykulski, Lancaster; Arthur Guillaumin, UCL; Jonathan Lilly, NWRA; Jeffrey Earley, NWRA
10:35 AM
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Multilinear Low-Rank Vector Autoregressive Modeling via Tensor Decomposition
Di Wang, University of Hong Kong; Guodong Li, University of Hong Kong; Dr. LIAN Heng, City University of Hong Kong
10:35 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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Calendar-Based Graphics for Visualizing People's Daily Schedules
Earo Wang, Monash University; Dianne Cook, Monash University; Rob J Hyndman, Monash University
11:20 AM
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Understanding Cryptocurrency Price Formation from Time Series of Local Blockchain Graph Features
Cuneyt Akcora, University of Texas at Dallas; Asim Dey, University of Texas at Dallas; Ceren Abay, University of Texas at Dallas; Yulia Gel, University of Texas at Dallas; Umar Islambekov, University of Texas at Dallas; Murat Kantarcioglu, University of Texas at Dallas
11:25 AM
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Coherence-Based Time Series Clustering for Brain Connectivity Visualization
Carolina Euan Campos, KAUST; Ying Sun, KAUST; Hernando Ombao, King Abdullah University of Science and Technology
11:45 AM
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A Concentration Inequality for Large Autocovariance Matrices
Yicheng Li, University of Washington; Fang Han, University of Washington
11:50 AM
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Interrupted Time Series Analysis to Evaluate the Effect of a Multicenter Collaborative Effort to Improve Care for Adult Intensive Care Patients
Alai Tan, Ohio State University College of Nursing; Michele C. Balas, Ohio State University College of Nursing
11:50 AM
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Predicting Disease Incidence with Natural Cubic Splines
Noah Kochanski, Hope College; Yew-Meng Koh, Hope College
2:05 PM
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Statistical Inference for High-Dimensional Time Series
Ruey S Tsay, University of Chicago, Booth School of Business
2:30 PM
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Dynamic Shrinkage Processes
David Matteson, Cornell University; Daniel R Kowal, Rice University; David Ruppert, Cornell University
2:55 PM
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Exploiting Conjugacy to Build Time Dependent Feature Allocation Models
Raffaele Argiento, Università di Torino; Ilaria Bianchini, Politecnico de Milano; Jim Edward Griffin, University of Kent
3:05 PM
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Tuesday, 07/31/2018
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Time Series Reconciliation Through Flexible Least Squares Estimation
Luis Frank, University of Buenos Aires
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Measuring the Percentage of Smoothness in the Trend of a Univariate Time Series: An Application to a Time Series of Mexico's GDP
Daniela Cortés Toto, Universidad De Las Américas Puebla (UDLAP); Víctor M. Guerrero, Instituto Tecnológico Autónomo de México (ITAM); Hortensia J. Reyes Cervantes, Benemérita Universidad Autónoma de Puebla (BUAP)
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Analysis of Non-Stationary Time Series Using Copula-Based Dependence Measures
Yongxin Zhu, King Abdullah University of Science and Technology; Charles Fontaine, King Abdullah University of Science and Technology; Hernando Ombao, King Abdullah University of Science and Technology
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A Functional Anova Approach to Detecting Changes in Soil Moisture and Temperature
Manju M. Johny, Iowa State University; Petruta C. Caragea , Iowa State University; Diane M. Debinski, Montana State University ; Jill A. Sherwood, Iowa State University
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Predicting Mood Using Multivariate Mobile Sensor Data Streams for Medical Interns
Timothy NeCamp, University of Michigan; Zhenke Wu, University of Michigan; Srijan Sen, University of Michigan; Edward Ionides, University of Michigan
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Targeted Maximum Likelihood Estimation of Causal Effects Based on Observing a Single Time Series
Ivana Malenica; Mark van der Laan, UC Berkeley
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Quantifying Association Between Discrete Event Time Series
Christopher Galbraith, University of California, Irvine; Padhraic Smyth, University of California, Irvine; Hal Stern, University of California, Irvine
8:55 AM
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Machine Learning Methods for Animal Movement
Dhanushi A Wijeyakulasuriya, Pennsylvania State University; Ephraim Hanks, The Pennsylvania State University; Benjamin Shaby, Penn State University
9:35 AM
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Robust Depth-Based Estimation of the Functional Autoregressive Model
Israel Martinez Hernandez, KAUST; Marc G Genton, King Abdullah University of Science and Technology; Graciela Gonzalez Farias, CIMAT
9:50 AM
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Data-Driven Modeling and Forecast of Noisy Nonlinear Dynamics
Kyongmin Yeo, IBM T.J. Watson Research Center; Youngdeok Hwang, Sungkyunkwan University; Eun Kyung Lee, IBM T.J. Watson Research Center
10:35 AM
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Targeted Maximum Likelihood Estimation of Causal Effects Based on Observing a Single Time Series
Ivana Malenica; Mark van der Laan, UC Berkeley
10:35 AM
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Traversing the Space-Time Cube
Noel Cressie, University of Wollongong
11:00 AM
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Sequential Bayesian Analysis of Multivariate Count Data
Tevfik Aktekin , University of New Hampshire; Nick Polson, University of Chicago ; Refik Soyer , George Washington University
11:50 AM
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A Semiparametric Approach for Modeling Multivariate Nonlinear Time Series
Seyed Yaser Samadi, Southern Illinois University, Carbondale
11:50 AM
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Modeling Changes in the Age Distribution of Opioid Mortality
Patrick E Brown, University of Toronto; Ye Lennon Li, Public Health Ontario
2:20 PM
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Multi-Level Time Series Clustering for Asset Selection in Allocation Problems
Michael Kotarinos; Christos Tsokos, University of South Florida; Kin Doo Young, Arkansas State University
2:50 PM
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Removing Absorbing States from Markov Chain Models
Li-Hsuan Huang; Harish S. Bhat, University of California, Merced; Sebastian Rodriguez, Northwestern University
2:50 PM
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Change-Point Estimation of Trend in High-Dimensional Time Series
Monika Bhattacharjee , University of Florida; Moulinath Banerjee, University of Michigan; George Michailidis, University of Florida
2:50 PM
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Variational Bayes Estimation of Time Series Copulas for Multivariate Ordinal and Mixed Data
Michael Stanley Smith, University of Melbourne; Ruben Loaiza-Maya, Unviersity of Melbourne
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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Wednesday, 08/01/2018
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Switching Regimes Time Series Models with Application to Changes Brain Connectivity in an fMRI-Movie Experiment
Marco Antonio Pinto-Orellana, Statistics, CEMSE Division. King Abdullah University of Science and Technology; Chee-Ming Ting, King Abdullah University of Science and Technology; Jeremy Skipper, Institute for Multimodal Communication. University College London; Steven Small, University of California, Irvine; Hernando Ombao, King Abdullah University of Science and Technology
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Estimating Efficacies of Supplementary Immunization Activities via Discrete Time Modeling of Disease Incidence Time Series
Qi Dong, University of Washington; Jon Wakefield, Univ of Washington; Kevin McCarthy, Institute for Disease Modeling; Niket Thakkar, Institute for Disease Modeling; Kurt Frey, Institute for Disease Modeling
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Clustering Travel Behavior Time Series Using Topological Data Analysis
Renjie Chen; nalini ravishanker, University of Connecticut; Jingyu Zhang, University of Connecticut; Karthik Konduri, University of Connecticut
9:15 AM
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Estimating Efficacies of Supplementary Immunization Activities via Discrete Time Modeling of Disease Incidence Time Series
Qi Dong, University of Washington; Jon Wakefield, Univ of Washington; Kevin McCarthy, Institute for Disease Modeling; Niket Thakkar, Institute for Disease Modeling; Kurt Frey, Institute for Disease Modeling
9:20 AM
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Exploring Departures from Stationarity Using Locally Stationary Time Series
Shreyan Ganguly, The Ohio State University; Peter Craigmile, The Ohio State University
9:20 AM
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Statistical Analysis of the Sliding Window Fourier Transform
Lee Richardson, Carnegie Mellon University
10:05 AM
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Count Time Series Models Based on Expectation Thinning Operators
Harry Joe, University of British Columbia
10:35 AM
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Automatic Anomaly Detection in Modeling Real-Time Sensor Data
Bei Chen, IBM Research; Beat Buesser, IBM Research
11:35 AM
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Analytical Likelihood Derivatives for State Space Forecasting Models
Jonathan R. M. Hosking, Amazon; Ramesh Natarajan, Amazon
2:45 PM
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Nonlinear Factor Decomposition for Financial Data by Deep Generative Model
Yongdai Kim, Seoul National University, Korea
2:45 PM
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Hierarchical Bayesian Models for Supernovae and Cosmology
Kaisey Stephen Mandel, University of Cambridge
3:05 PM
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A Functional Dependence Measure for Large Curve Time Series with an Application to Autoregressions
Xinghao Qiao, LSE; Shaojun Guo, Renmin University of China
3:05 PM
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Robust Time Series Using Linked Exponential Smoothing Cells
Aleksandr Aravkin, University of Washington, Seattle; Avner Abrami, IBM TJ Watson Research Center; Younghun Kim, Utopus Insights
3:05 PM
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A Classification Framework for Forecast Model Selection
Thiyanga Talagala, Monash University; Rob J Hyndman, Monash University; George Athanasopoulos, Monash University
3:20 PM
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Jackknife Empirical Likelihood for Time Series Data in Frequency Domain
Kenichiro Tamaki, Waseda University
3:35 PM
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Thursday, 08/02/2018
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Bayesian Spectral Analysis of High-Dimensional Time Series
Ori Rosen, Univ of Texas at El Paso; Rob Krafty, University of Pittsburgh
9:05 AM
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Non-Stationary High-Dimensional Time Series Networks for Brain Imaging Data
Ivor Cribben, University of Alberta
9:35 AM
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Short-Term Forecasting of Seasonal Environmental Time Series
Kimihiro Noguchi, Western Washington University; Benjamin Hansen, University of Groningen
10:05 AM
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Model Choice and Future Prediction Accuracy in Time Series for Disease Incidence
Reagan Spindler, Hope College; Yew-Meng Koh, Hope College
11:05 AM
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Calibrating Forecasts to Volatile Time Series
Janice Lent, U.S. Energy Information Administration
11:35 AM
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Sparse Multi-Class Vector AutoRegressive Models
Ines Wilms, KU Leuven; Christophe Croux, EDHEC Business School; Luca Barbaglia, KU Leuven
11:35 AM
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