Category: Stochastic Modeling

By David E. Edmunds, V.M Kokilashvili, Alexander Meskhi The monograph provides many of the authors' fresh and unique effects b...

By John R. Birge The goal of stochastic programming is to discover optimum judgements in difficulties which contain doubtful i...

By G. Da Prato, Professor J. Zabczyk This booklet is dedicated to the asymptotic homes of ideas of stochastic evolution equati...

By Paolo Baldi An intensive grounding in Markov chains and martingales is key in facing many difficulties in utilized chance, ...

By Peter K. Friz Tough course research presents a clean point of view on Ito's vital concept of stochastic differential equati...

By E. B. Dynkin This e-book is dedicated to the purposes of likelihood conception to the idea of nonlinear partial differentia...

By Jan van Casteren The publication offers a systemic therapy of time-dependent robust Markov approaches with values in a Poli...

By Daniel W. Stroock This publication goals to bridge the distance among likelihood and differential geometry. It provides str...

By Anirban DasGupta This ebook presents a flexible and lucid therapy of vintage in addition to sleek chance thought, whereas i...

By A.G. Malliaris, W.A. Brock This booklet will most likely turn into a simple reference for educational researchers in financ...