Recursive procedures for multiple decisions: Finite time memory and stepwise maximum likelihood procedure
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Publication:1893391
DOI10.1007/BF02926028zbMath0820.62012MaRDI QIDQ1893391
Publication date: 3 July 1995
Published in: Statistical Papers (Search for Journal in Brave)
rate of convergenceconsistencyasymptotic efficiencyinconsistencynecessary and sufficient conditionerror probabilitiesmultiple decision problemboundedness of the likelihood ratioscurrent observationprevious decisionstepwise maximum likelihood procedure
Point estimation (62F10) Statistical decision theory (62C99) Sequential estimation (62L12) Compound decision problems in statistical decision theory (62C25)
Cites Work
- Recursive testing of multiple hypotheses: Consistency and efficiency of the Bayes rule
- Multiple hypothesis testing by finite memory algorithms
- Optimal finite memory learning algorithms for the finite sample problem
- Lower Bound on the Error Probability for Families with Bounded Likelihood Ratios
- Hypothesis Testing with Finite Statistics
- Learning with Finite Memory
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