Some Problems in Probability, Statistics and Reliability

Abstract

Research was carried out in the areas of Image Analysis modeling the phenomena of conformation and coupling. Markov Chain Monte Carlo methods - their limitations and range of applicability, Bayesian Nonparametric Computations - approximations and convergence, predicting a random variable based on a discretized covariate, Flow Models - flows in queues with finite capacity buffers and flows in networks with losses and capacity controls, and survey articles on modem nonparametric methods.

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Document Details

Document Type
Technical Report
Publication Date
Feb 12, 2001
Accession Number
ADA388460

Entities

People

  • Jayaram Sethuraman

Organizations

  • Florida State University

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Boundaries
  • Data Science
  • Differential Equations
  • Information Science
  • Markov Chains
  • Markov Processes
  • Models
  • Monte Carlo Method
  • Probabilistic Models
  • Probability
  • Probability Distributions
  • Random Variables
  • Reliability
  • Statistics
  • Stochastic Processes
  • Surveys

Readers

  • Computational Modeling and Simulation
  • Mathematical Modeling and Probability Theory.
  • Regression Analysis.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - Machine Learning Algorithms