353 rezultatov
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Stochastic Differential Equations(2003) ØKSENDAL, BERNTThe basic idea of the presentation is to start from some basic results (without proofs) of the easier cases and develop the theory from there, and to concentrate on the proofs of the easier case in order to quickly progress to the parts of the theory thatVezava: Mehka83,46 € -
Stochastic Processes in Physics and Chemistry(2007) VAN KAMPEN, N.G. (INSTITUTE OF THEORETICAL PHYSICS, UNIVERSITY OF UTRECHT, THE NETHERLANDS)Replaces the contrived application of the quantum master equation with a satisfactory treatment of quantum fluctuations. This work covers the fluctuations and stochastic methods for describing them. It is of interest to students and researchers in appliedVezava: Mehka136,79 € -
Arbitrage Theory in Continuous Time(2019) BJA¶RK, TOMAS (PROFESSOR OF MATHEMATICAL FINANCE, PROFESSOR OF MATHEMATICAL FINANCE, DEPARTMENT OF FINANCE, STOCKHOLM SCHOOL OF ECONOMICS)The fourth edition of this widely used textbook on pricing and hedging of financial derivatives now also includes dynamic equilibrium theory and continues to combine sound mathematical principles with economic applications.Vezava: Trda120,75 € -
Markov Chains(1998) NORRIS, J. R. (UNIVERSITY OF CAMBRIDGE)A textbook for students with some background in probability that develops quickly a rigorous theory of Markov chains and shows how actually to apply it, e.g. to simulation, economics, optimal control, genetics, queues and many other topics, and exercisesVezava: Mehka73,50 € -
Understanding Markov Chains(2018) PRIVAULT, NICOLASThis book provides an undergraduate-level introduction to discrete and continuous-time Markov chains and their applications, with a particular focus on the first step analysis technique and its applications to average hitting times and ruin probabilities.Vezava: Mehka66,52 € -
Theory and Simulation of Random Phenomena(2018) VITALI, ETTORE,MOTTA, MARIO,GALLI, DAVIDE EMILIOVezava: Trda91,86 € -
Control Systems and Reinforcement Learning(2022) MEYN, SEAN (UNIVERSITY OF FLORIDA)The book is written for newcomers to reinforcement learning who wish to write code for various applications, from robotics to power systems to supply chains. It also contains advanced material designed to prepare graduate students and professionals for boVezava: Trda96,25 € -
Stochastic Analysis for Finance with Simulations(2016) CHOE, GEON HOThis book is an introduction to stochastic analysis and quantitative finance; Stochastic Analysis for Finance with Simulations is designed for readers who want to have a deeper understanding of the delicate theory of quantitative finance by doing computeVezava: Mehka38,28 € -
Primer for Data Analytics and Graduate Study in Statistics(2020) WOLFE, DOUGLAS,SCHNEIDER, GRANTAdvanced undergraduate students and introductory graduate students from a variety of quantitative backgrounds will benefit from the transitional bridge that this volume offers, from a more generalized study of undergraduate mathematics and statistics to tVezava: Trda16,40 € -
Introduction to Probability and Statistics for Engineers and Scientists(2021) ROSS, SHELDON M. (PROFESSOR, DEPARTMENT OF INDUSTRIAL AND SYSTEMS ENGINEERING, UNIVERSITY OF SOUTHERN CALIFORNIA, LOS ANGELES, USA)Vezava: Trda154,90 € -
Causal Inference for Statistics, Social, and Biomedical Sciences: An Introduction(2015) GUIDO W. IMBENSVezava: Trda96,25 € -
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Oxford IB Diploma Programme: IB Mathematics: analysis and approaches, Higher Level, Print and Enhanced Online Course Book Pack(2020) MARLENE TORRES SKOUMALVezava: Mehka87,44 € -











