JSM 2017 Online Program

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CC = Baltimore Convention Center, H = Hilton Baltimore
* = applied session ! = JSM meeting theme

Keyword Search Criteria: Forecasting returned 8 record(s)

Sunday, 07/30/2017

Nonparametric Bayesian Survival Models in a Demand Forecasting Application
Ta-Hsin Li, IBM Watson Research Center
2:05 PM

A Bayesian Model for Forecasting Time Series in a Hierarchically Structured Organization
Julie Novak, IBM; Beatriz Etchegaray, IBM Research
2:20 PM

Monday, 07/31/2017

Automatic Forecasting of Hourly Electricity Demand with a Computationally Efficient Semiparametric Time Series Model
Jun Liu, Georgia Southern University
11:05 AM

A Temporal Appraisal of Profitability in the Fortune 500: 1955 - 2016
Leo Upchurch, Tuskegee University (CBIS); Fan University Wu, Tuskegee University (CBIS)
11:20 AM

Stochastic Seasonality, Contemporaneous Inference, and Forecasting in the Presence of More Volatile Weather
William Wei-Choun Yu, UCLA Anderson School of Management; Jerry Nickelsburg, UCLA Anderson School of Management
3:35 PM

Tuesday, 08/01/2017

A Hierarchical Spatio-Temporal Analog Forecasting Model for Nonlinear Ecological Processes
Patrick McDermott, University of Missouri; Christopher Wikle, University of Missouri; Joshua Millspaugh, University of Montana
10:55 AM

Wednesday, 08/02/2017

Volatility Forecasting with Empirical Similarity: Japanese Stock Market Case
Yoshinori Kawasaki, Institute of Statistical Mathematics; Takayuki Morimoto, Kwansei Gakuin University

Standardizing Assessment of Time-Series Forecasting Models
Nicholas G. Reich, University of Massachusetts Amherst; Joshua Kaminsky, Johns Hopkins Bloomberg School of Public Health; Lindsay Keegan, Johns Hopkins Bloomberg School of Public Health; Stephen Lauer, University of Massachusetts - Amherst; Krzysztof Sakrejda, University of Massachusetts - Amherst; Justin Lessler, Johns Hopkins Bloomberg School of Public Health
11:35 AM

JSM 2017 Online Program

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