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Statistical Inference For Ergodic Diffusion Processes


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Author by : Yury A. Kutoyants
Languange Used : en
Release Date : 2013-03-09
Publisher by : Springer Science & Business Media

The first book in inference for stochastic processes from a statistical, rather than a probabilistic, perspective. It provides a systematic exposition of theoretical results from over ten years of mat

Option Pricing And Estimation Of Financial Models With R


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Author by : Stefano M. Iacus
Languange Used : en
Release Date : 2011-02-23
Publisher by : John Wiley & Sons

Presents inference and simulation of stochastic process in the field of model calibration for financial times series modelled by continuous time processes and numerical option pricing. Introduces the

Student S T Distribution And Related Stochastic Processes


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Author by : Bronius Grigelionis
Languange Used : en
Release Date : 2012-09-18
Publisher by : Springer Science & Business Media

This brief monograph is an in-depth study of the infinite divisibility and self-decomposability properties of central and noncentral Student’s distributions, represented as variance and mean-varianc

Simultaneous Statistical Inference


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Author by : Rupert G. Jr. Miller
Languange Used : en
Release Date : 2012-12-06
Publisher by : Springer Science & Business Media

Simultaneous Statistical Inference, which was published originally in 1966 by McGraw-Hill Book Company, went out of print in 1973. Since then, it has been available from University Microfilms Internat

Statistics Of Random Processes


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Author by : Robert S. Liptser
Languange Used : en
Release Date : 2001
Publisher by : Springer Science & Business Media

The subject of these two volumes is non-linear filtering (prediction and smoothing) theory and its application to the problem of optimal estimation, control with incomplete data, information theory, a

An Introduction To Stochastic Processes And Their Applications


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Author by : Petar Todorovic
Languange Used : en
Release Date : 2012-12-06
Publisher by : Springer Science & Business Media

This text on stochastic processes and their applications is based on a set of lectures given during the past several years at the University of California, Santa Barbara (UCSB). It is an introductory