Extension of Measures and Stochastic Equations
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Publication:4071473
DOI10.1137/1119053zbMath0312.28001OpenAlexW2074583765MaRDI QIDQ4071473
Publication date: 1974
Published in: Theory of Probability & Its Applications (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1137/1119053
Real- or complex-valued set functions (28A10) Classes of sets (Borel fields, (sigma)-rings, etc.), measurable sets, Suslin sets, analytic sets (28A05) Stochastic analysis (60H99) Axioms; other general questions in probability (60A05)
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When do type structures contain all hierarchies of beliefs? ⋮ Weak convergence of approximate solutions of random equations ⋮ Weak convergence of approximate solutions of stochastic equations with applications to random differential and integral equations∗ ⋮ Qualitative analysis of fractional stochastic differential equations with variable order fractional derivative ⋮ A remark on extension of measures ⋮ Borel measure extensions of measures defined on sub-\(\sigma\)-algebras ⋮ Ma\fortsetzungen und Aumann's Selektionstheorem ⋮ On the uniqueness of pre-image measures ⋮ Unforeseen evidence ⋮ Prämeßbare Funktionen ⋮ Two principles for extending probability measures ⋮ Realizing a weak solution on a probability space ⋮ Induced \(\sigma\)-homomorphisms and a parametrization of measurable sections via extremal preimage measures ⋮ On one-dimensional stochastic differential equations with unit diffusion coefficient. structure of solutions ⋮ On an extendability problem for measures
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