On conditional weak convergence
Copyright policy )On conditional weak convergence
Technical issues of convergence of conditional distributions are discussed. The classical modes of convergence for conditional distributions are a) uniform convergence, b) convergence in probability, and c) almost sure convergence, each with respect to the conditioning variable. Conditions are given for cases b) and c) which are sufficient for convergence, and for case a) a characterization of convergence is given.
- University of Surrey United Kingdom
characterization of convergence, Strong limit theorems, conditional limit theorems, convergence for conditional distributions, Convergence of probability measures, Random measures
characterization of convergence, Strong limit theorems, conditional limit theorems, convergence for conditional distributions, Convergence of probability measures, Random measures
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