Our main result is to prove almost-sure convergence of a stochastic-approximation algorithm defined on the space of measures on a noncompact space. Our motivation is to apply this result to ...
Inhalt: The lecture "Stochastic Approximation" is aimed at Master's students who have a sound basic knowledge of probability theory including martingale theory. The lecture is concerned with ...
Stochastic processes form the backbone of modern probability theory, describing systems that evolve randomly over time or space. They are instrumental in areas ranging from statistical physics to ...
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