Modeling and Prediction of Space/Time Natural Processes Using A Bayesian Maximum Entropy

Abstract

This report covers the year 2003. The major results from this work were as follows: (1) New improvements of the Bayesian Maximum Entropy (BME) theory of space/time mapping, (2) new technology leading to considerable revision/improvement of the widely used BMElib library (currently used by researchers and practitioners in over 20 countries worldwide. The work has resulted in several publications in journals and books, as well as presentations at national and international meetings.

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Document Details

Document Type
Technical Report
Publication Date
May 05, 2003
Accession Number
ADA424350

Entities

People

  • George Christakos
  • Marc Serre

Organizations

  • University of North Carolina at Chapel Hill

Tags

Communities of Interest

  • Space

DTIC Thesaurus Topics

  • Abstracts
  • Calibration
  • Case Studies
  • Covariance
  • Databases
  • Drinking Water
  • Earth Sciences
  • Ecology
  • Geographic Information Systems
  • Groundwater
  • High Resolution
  • Information Operations
  • Information Science
  • Information Systems
  • Probability Distributions
  • Risk
  • Risk Analysis

Readers

  • Academic Conference Management
  • Graph Algorithms and Convex Optimization.
  • Statistical inference.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • Space