Keyword Search
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CC = Baltimore Convention Center, H = Hilton Baltimore
* = applied session ! = JSM meeting theme
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Keyword Search Criteria: time series returned 43 record(s)
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Sunday, 07/30/2017
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Network Time Series Modeling
Marina Knight, University of York; Matthew Nunes, Lancaster University; Guy Nason, University of Bristol
2:05 PM
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Modeling Maxima in Financial Time Series with Dynamic Generalized Extreme Value Distribution
Zifeng Zhao, University of Wisconsin-Madison; Zhengjun Zhang, University of Wisconsin; Rong Chen, Rutgers University
2:05 PM
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Time Series Disaggregation for Simulation of Spare Parts Inventory Management
Thomas Willemain, Rensselaer Polytechnic Institute; Adam George Petrie, University of Tennessee
2:05 PM
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A Bayesian Model for Forecasting Time Series in a Hierarchically Structured Organization
Julie Novak, IBM; Beatriz Etchegaray, IBM Research
2:20 PM
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The Use of Artificial Neural Network in Time Series Forecasting
Taysseer Sharaf, University of Michigan- Dearborn
2:20 PM
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Conditional Maximum Likelihood Estimation for a Class of Observation-Driven Time Series Models for Count Data
Yunwei Cui, Towson University; Qi Zheng, University of Louisville
2:50 PM
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Estimation of the Variance of Nonparametric Trend Estimates from Time Series Replicates Using the Empirical Moment Generating Function
Sucharita Ghosh, Swiss Federal Research Institute WSL
3:35 PM
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Theodore W. Anderson
Paul Shaman, University of Pennsylvania; Raja P. Velu, Syracuse University
4:05 PM
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A Statistical Framework for Downscaling Climate Model Information to Enhance Infrastructure Design
Ernst Linder, Department of Mathematics and Statistics, University of New Hampshire; Meng Zhao, University of New Hampshire; Yiming Liu, University of New Hampshire
4:20 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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T. W. Anderson's Contributions to Time Series
Soren Johansen, University of Copenhagen
5:20 PM
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Monday, 07/31/2017
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Time Series Reconciliation: a Least-Squares Solution for the Case of High-Frequency Series Exceeding the Period Covered by the Low-Frequency Series
Luis Frank
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Using Interrupted Time Series to Examine the Validity of the Surveillance Definition of Catheter-Associated Urinary Tract Infection in U.S. Hospitals
Minn Soe, Surveillance Branch, DHQP, NCEZID, CDC
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Bayesian Analysis of Time Series with Irregular or Latent Observation Times
Aaron Springford, Queen's University; David Thomson, Queen's University
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Time Series Model Fitting and Regularization Methods
Soumendra N Lahiri, North Carolina State University
9:50 AM
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Bayesian Analysis of Time Series with Irregular or Latent Observation Times
Aaron Springford, Queen's University; David Thomson, Queen's University
10:10 AM
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Using Interrupted Time Series to Examine the Validity of the Surveillance Definition of Catheter-Associated Urinary Tract Infection in U.S. Hospitals
Minn Soe, Surveillance Branch, DHQP, NCEZID, CDC
10:35 AM
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Validating a Time Series Model for Supply Chain Inventory Data
Morris Morgan, Hampton University; Carolyn Bradshaw Morgan, MECK Limited,LLC; Eric Abram Morgan, St. Michael's Inc.; Kristin Morgan, University of Connecticut
10:35 AM
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Automatic Forecasting of Hourly Electricity Demand with a Computationally Efficient Semiparametric Time Series Model
Jun Liu, Georgia Southern University
11:05 AM
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Refining an External-Factor Model of Government Survey Refusal Rates
Luke Larsen, U.S. Census Bureau; Joanna Lineback, U.S. Census Bureau; Benjamin Reist, U.S. Census Bureau
11:05 AM
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Bayesian Dynamic Tensor Factor Models
Seyed Yaser Samadi, Southern Illinois University, Carbondale; David Dunson, Duke University
2:20 PM
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Tuesday, 08/01/2017
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Model Averaging for Probabilistic Time Series Forecasts
Evan L. Ray, University of Massachusetts, Amherst; Nicholas G. Reich, University of Massachusetts Amherst
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Optimising Inflation Forecasts Based on Web-Scraped Price Data
Ben Powell, University of Bristol
8:35 AM
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A Robust Interrupted Time Series Model for Analyzing Complex Healthcare Intervention Data
Maricela Cruz; Hernando Ombao, KAUST and UC Irvine; Miriam Bender, University of California, Irvine
8:55 AM
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Model Averaging for Probabilistic Time Series Forecasts
Evan L. Ray, University of Massachusetts, Amherst; Nicholas G. Reich, University of Massachusetts Amherst
10:10 AM
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Improved Activation Detection via Rice-Distributed fMRI Time Series Modeling
Daniel Adrian, Grand Valley State University; Ranjan Maitra, Iowa State University; Daniel B. Rowe, Marquette University
11:05 AM
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Time Series Prediction and Predictor Selection in High-Dimensional Quantile Autoregressive Regression
Dawit Zerom, California State University at Fullerton
11:05 AM
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Testing for Causality Between Two Time Series Using a Parametric Bootstrap
Thomas Fisher, Miami University; Zequn Sun, Medical University of South Carolina
11:50 AM
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Bayesian Analysis for Multi-Subject Time Course RNA-Seq Experiments
Allison Tegge, Virginia Tech; Shiqi Cui, Google; Marco Ferreira, Virginia Tech
11:50 AM
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Simultaneous Reconciliation of Large Disaggregated Time Series of U.S. Input-Output Accounts After a Benchmark Revision
Baoline Chen, Bureau of Economic Analysis; Tommaso Di Fonzo, University of Padova; Thomas Howells, Bureau of Economic Analysis; Marco Marini, International Monetary Fund
2:45 PM
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Anticipating Brexit Effects in Time Series Analysis
Charlotte Gaughan, Office for National Statistics; Atanaska Nikolovo, Office for National Statistics
3:25 PM
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Wednesday, 08/02/2017
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Empirical Likelihood Methods on Functional Time Series Data
Guangxing Wang, University of California, Davis; Wolfgang Polonik, University of California, Davis
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A GARCH Type Poisson Model for Time Series of Counts with Cyclically Varying Zero Inflation
Isuru Ratnayake, Missouri University of Science and Technology; V A Samaranayake, Missouri University of Science and Technology
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A Composite Economic Index for the United States' Economy: What Does This Index Tell Us?
Brian Sloboda, University of Phoenix, Center for Management and Entrepreneurship (CME); Chandrasekhar Putcha, California State University at Fullerton
10:35 AM
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Implicit Multi-Layer Network for Time Series Data
Brandon Park; Anand N. Vidyashankar, George Mason University; Tucker McElroy, U. S. Census Bureau
10:35 AM
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A Time Series Model for Boolean Random Sets
Khalil Shafie, University of Northern Colorado; Mostafa Zahed, University of Northern Colorado
10:50 AM
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Collective Spectral Density Function Estimation and Clustering for Time Series and Spatial Data
Tianbo Chen, King Abdullah University of Science & Technology; Ying Sun, King Abdullah University of Science and Technology; Medhi Maadooliat, Marquette University
3:35 PM
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Thursday, 08/03/2017
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Spatio-Temporal Multitaper Spectrum Estimation
Christopher Geoga, Argonne National Laboratory; Charlotte Haley, Argonne National Laboratory; Mihai Anitescu, Argonne National Laboratory
8:50 AM
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Bayesian Hierarchical Models to Estimate Associations Between Air Pollution and Cause-Specific Morbidity in Multicity Epidemiologic Studies
Jenna Krall, George Mason University; Stefanie Ebelt Sarnat, Emory University
9:05 AM
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Time Series Smoother for Effect Detection
Cheng You, Pennsylvania State University; Dennis K.J. Lin, Penn State University; Sidney Stanley Young, CGStat
9:35 AM
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Time Series Methodologies May Save Lives on Highways
Roya Amjadi, Federal Highway Administration
9:50 AM
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Spectra-Based Clustering Methods for Visualizing Spatio-Temporal Patterns of Winds and Waves in the Red Sea.
Carolina Euan Campos; Ying Sun, King Abdullah University of Science and Technology
10:55 AM
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Spatial Time Series Classification with Applications to Wind Energy
Laurie Tupper, Williams College; David S Matteson, Cornell University; C. Lindsay Anderson, Cornell University
11:50 AM
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