Some Remarks on the Finite-Memory K-Hypotheses Problems

Abstract

Finite-memory statistical problems typically deal with the situation where the class of statistics is restricted to those taking on a fixed finite number of values. Although a potentially infinite number of samples may be available the statistician is allowed to base his inference only on the current value of such a statistic - the current state of his finite memory. This is the case for instance when the inference is to be performed by a small size computer. During the past several years a number of results have been obtained concerning a two-hypotheses finite-memory problem. In this report the author considers some aspects of the case where the number of hypotheses is greater than two.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1974
Accession Number
ADA003893

Entities

People

  • Bruno O. Shubert

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Automata
  • Classification
  • Confluence
  • Eigenvalues
  • Equations
  • Hypotheses
  • Markov Chains
  • Military Research
  • Probability
  • Probability Distributions
  • Random Variables
  • Schools
  • Security
  • Sequences
  • Stationary
  • Stochastic Processes
  • Transitions

Fields of Study

  • Mathematics

Readers

  • Operations Research
  • Regression Analysis.

Technology Areas

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