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Activity Number: 254 - Contributed Poster Presentations: Section on Bayesian Statistical Science
Type: Contributed
Date/Time: Monday, July 29, 2019 : 2:00 PM to 3:50 PM
Sponsor: Section on Bayesian Statistical Science
Abstract #306635
Title: Mapping Land Reflectance with Bayesian Dynamic Linear Models
Author(s): Ryan Frost*
Companies: Boston University
Keywords: Bayesian; Time Series; Remote Sensing

Satellite imagery data comes with a host of difficulties. In particular, frequent outliers and long stretches of missing data pose a significant challenge to time series analysis. Bayesian dynamic linear models (West & Harrison) meet this challenge with a suite of features, including robust handling of outliers and missing data. Further, these models offer dynamic mean, trend, and seasonality estimation, all with statistically rigorous confidence bands.

Authors who are presenting talks have a * after their name.

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