The justifcation is mainly pedagogical. These lecture notes start with an elementary approach to stochastic calculus due ...
Continue readingThe justifcation is mainly pedagogical. These lecture notes start with an elementary approach to stochastic calculus due ...
Continue readingThe theory of stochastic integration, also called the Ito calculus, has a large spectrum of applications in virtually every ...
Continue readingThe theory of stochastic integration, also called the Ito calculus, has a large spectrum of applications in virtually every ...
Continue readingLévy processes are the natural continuous-time analogue of random walks and form a rich class of stochastic processes around ...
Continue readingLévy processes are the natural continuous-time analogue of random walks and form a rich class of stochastic processes around ...
Continue readingIn this book invariant probabilities for a large class of discrete-time homogeneous Markov processes known as Feller processes ...
Continue readingA.N. Kolmogorov (b. Tambov 1903, d. Moscow 1987) was one of the most brilliant mathematicians that the world has ever known. ...
Continue readingLagrangian expansions can be used to obtain numerous useful probability models, which have been applied to real life situations ...
Continue readingLagrangian expansions can be used to obtain numerous useful probability models, which have been applied to real life situations ...
Continue readingThis book describes in detail the practice of the Bayesian statistical approach using many examples chosen for their educational ...
Continue readingThe papers cover current issues of machine learning, artificial intelligence, mathematical programming and algorithms for ...
Continue readingThis volume contains two of the three lectures that were given at the 33rd Probability Summer School in Saint-Flour (July ...
Continue readingSince its inception in 1974, the level crossing approach for analyzing a large class of stochastic models has become increasingly ...
Continue readingThis book covers two major classes of mixed effects models—linear mixed models and generalized linear mixed models—and ...
Continue readingThis book constitutes the refereed proceedings of the joint conference on Machine Learning and Knowledge Discovery in Databases: ...
Continue readingPresents recent advancements in research, a review of new methods and techniques, and applications in decision support systems ...
Continue readingThis book introduces and explains classical and modern mathematical procedures as applied to the real problems confronting ...
Continue readingLinear stochastic systems are successfully used to provide mathematical models for real processes in fields such as aerospace ...
Continue readingLinear stochastic systems are successfully used to provide mathematical models for real processes in fields such as aerospace ...
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