JSM 2021 Online Program
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Thu, 8/12/2021, 2:00 PM - 3:50 PM
Virtual
Analyses of Environmental Data — Contributed Speed
Section on Statistics and the Environment
Chair(s): Jenny Brynjarsdottir, Case Western Reserve University
2:05 PM
How a River’s Length and Discharge Relate to the Precipitation in Its Basin
David DiMarco, Neumann University
; Ryan Savitz, Neumann University
2:10 PM
A Basic Logistic Regression Approach to Analyzing Hurricanes in the Atlantic Basin
2:15 PM
Changing Seasonality of Daily and Monthly Precipitation Extremes and Their Possible Connections with Large-Scale Climate Patterns Over the Contiguous USA
2:20 PM
Concurrent Functional Regression to Reconstruct River Stage Data During Flood Events
2:25 PM
Identification and Uncertainty of Sea Ice Leads
2:30 PM
High-Dimensional Inference for Multivariate Extremes with Spatial Scale-Aware Tail Dependence Structures
2:35 PM
Bayesian ETAS: Toward Improved Earthquake Rate Models in the Pacific Northwest
2:45 PM
A Bayesian Hierarchical Model Framework to Quantify Uncertainty of Tropical Cyclone Precipitation Forecasts
2:50 PM
Functional Data Fusion of PM2.5 Observations and Satellite AOD Measurements
3:00 PM
A Bayesian Change Point Model for Detecting Linear Changes Across Time for Spatio-Temporal Data
3:05 PM
Statistical Downscaling of Sea Surface Temperature from Global Climate Models
3:10 PM
Prediction and Model Evaluation for Space-Time Data
3:15 PM
On Testing for the Equality of Autocovariance Between Time Series
3:20 PM
Spatial and Spatio-Temporal Scan Statistics of the Regression Coefficients
3:25 PM
A Spatial Dissimilarity Measure for Comparing Spatial Fields
3:30 PM
Optimal Transport for Analyzing Ocean Data
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