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The authors here present statistical methods and models of importance to quantitative finance and links finance... Read More >>
Linear stochastic systems are successfully used to provide mathematical models for real processes. This book covers... Read More >>
The problems include are nonlinear vector optimization problems, s- metric dual problems, continuous-time vector... Read More >>
Building upon the previous editions, this textbook is a first course in stochastic processes taken by undergraduate... Read More >>
Each of us has come to optimization, traditionally a subject studied in applied mathematics, from a background in... Read More >>
The only prerequisite is an upper level undergraduate course in probability and mathematical statistics, although... Read More >>
Time Series Analysis With Applications in R, Second Edition, presents an accessible approach to understanding time... Read More >>
1 Audience Students seeking master's degrees in applied statistics in the late 1960s and 1970s typically took a... Read More >>
This book is the first to offer a systematic presentation of the Bayesian perspective of finite mixture modeling,... Read More >>
Intended as an introduction to optimal stochastic control for continuous time Markov processes and to the theory... Read More >>
Mathematics is playing an ever more important role in the physical and biological sciences, provoking a blurring... Read More >>
Brings together advanced thinking on the multidimensional measurement of poverty including the theoretical background,... Read More >>
Illustrates by example the typical steps necessary in computer science to build a mathematical model of any programming... Read More >>
These applications have, in turn, stimulated research into new Monte Carlo methods and renewed interest in some... Read More >>
Since the late 1980s, Toeplitz operators and matrices have remained a ?eld of extensive research and the development... Read More >>
Brings together important topics of research in probabilistic graphical modeling, learning from data and probabilistic... Read More >>