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Contributed Papers

Methods for Dynamic and Spatio-temporal Data

Sun, Aug 3, 4:00 PM - 5:50 PM Room CC-106B Music City Center

Abhirup DattaChair

Section on Statistics and the Environment

6 Presentations

An Integrated Time-Varying Ornstein-Uhlenbeck Process for Jointly Modeling Individual and Population-Level Dynamics of Golden Eagles

4:05 PM - 4:20 PM

Co-authors: Michael Shull, Ephraim Hanks (Penn State), Michael Shull

Ecology Animal movement modeling Bayesian statistics Migratory birds Landscape ecology GPS data

Dynamic Downscaling of Feature Inputs in Convolutional Neural Networks for Spatio-Temporal Models

4:20 PM - 4:35 PM

Co-authors: Robert Richardson (Brigham Young University), Robert Richardson (Brigham Young University)

Spatio-Temporal Forecasting Convolutional Neural Networks Multi-Resolution Models Agent-based Modeling

Geology Guided Spatial Temporal Frailty Models for Volcanic Eruption Prediction

4:35 PM - 4:50 PM

Co-authors: Tianyuan Cheng (Florida State University), Xufeng Niu (Florida State University), Tianyuan Cheng (Florida State University)

Survival analysis Cox Proportional Hazard Model with Frailty spatial modeling EM Algorithm Numerical Optimization

Neural Network with Spatial Random-Effect for Failure Status and Remaining Life of GPU Prediction

4:50 PM - 5:05 PM

Co-authors: Lina Lee, Lina Lee, Jared Clark, Jie Min, Yili Hong

GPU Reliability Deep Learning Spatial Embedding Random-Effect Models Time-to-Failure Prediction

Seasonal Variation in Sleep Apnea and Slow-Wave Sleep in Retrospective Polysomnography data

5:05 PM - 5:20 PM

Co-authors: Md Rashidul Hasan, Md Rashidul Hasan, David Umbach (National Institute of Environmental Health Sciences), Leping Li (Biostatistics Branch/NIEHS)

apnea-hypopnea index polysomnography (PSG) studies sleep patterns circadian rhythm generalized linear model

Spatio-Temporal Prediction of Tree Water Deficit from a Sparse Network of Dendrometers

5:20 PM - 5:35 PM

Co-authors: William Aeberhard (Swiss Data Science Center, ETH Zurich), Jan Svoboda (Forest Dynamics Research Unit, Swiss Federal Institute for Forest, Snow and Landscape Research WSL,), William Aeberhard (Swiss Data Science Center, ETH Zurich), Mirko Lukovic (Forest Dynamics Research Unit, Swiss Federal Institute for Forest, Snow and Landscape Research (WSL)), Sophia Etzold (Forest Dynamics Research Unit, Swiss Federal Institute for Forest, Snow and Landscape Research (WSL)), Roman Zweifel (Forest Dynamics Research Unit, Swiss Federal Institute for Forest, Snow and Landscape Research (WSL))

spatial extrapolation time series forecasting deep neural network joint modeling regularization

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