Simulation and Inference for Stochastic Differential Equations / Nejlevnější knihy
Simulation and Inference for Stochastic Differential Equations

Kód: 05247897

Simulation and Inference for Stochastic Differential Equations

Autor Stefano M. Iacus

This book is very different from any other publication in the field and it is unique because of its focus on the practical implementation of the simulation and estimation methods presented. The book should be useful to practitione ... celý popis

3681


Skladem u dodavatele
Odesíláme za 10-13 dnů
Přidat mezi přání

Mohlo by se vám také líbit

Darujte tuto knihu ještě dnes
  1. Objednejte knihu a zvolte Zaslat jako dárek.
  2. Obratem obdržíte darovací poukaz na knihu, který můžete ihned předat obdarovanému.
  3. Knihu zašleme na adresu obdarovaného, o nic se nestaráte.

Více informací

Více informací o knize Simulation and Inference for Stochastic Differential Equations

Nákupem získáte 368 bodů

Anotace knihy

This book is very different from any other publication in the field and it is unique because of its focus on the practical implementation of the simulation and estimation methods presented. The book should be useful to practitioners and students with minimal mathematical background, but because of the many R programs, probably also to many mathematically well educated practitioners.Many of the methods presented in the book have, so far, not been used much in practice because the lack of an implementation in a unified framework. This book fills the gap. With the R code included in this book, a lot of useful methods become easy to use for practitioners and students. An R package called 'sde' provides functionswith easy interfaces ready to be used on empirical data from real life applications.Although it contains a wide range of results, the book has an introductory character and necessarily does not cover the whole spectrum of simulation and inference for general stochastic differential equations.The book is organized in four chapters. The first one introduces the subject and presents several classes of processes used in many fields of mathematics, computational biology, finance and the social sciences. The second chapter is devoted to simulation schemes and covers new methods not available in other milestones publication known so far. The third one is focused on parametric estimation techniques. In particular, it includes exact likelihood inference, approximated and pseudo-likelihood methods, estimating functions, generalized method of moments and other techniques. The last chapter contains miscellaneous topics like nonparametric estimation, model identification and change point estimation.The reader non-expert in R language, will find a concise introduction to this environment focused on the subject of the book which should allow for instant use of the proposed material. To each R functions presented in the book a documentation page is available at the end of the book.

Parametry knihy

Zařazení knihy Knihy v angličtině Mathematics & science Mathematics Calculus & mathematical analysis

3681

Oblíbené z jiného soudku



Osobní odběr Praha, Brno a 46735 dalších

Copyright ©2008-26 nejlevnejsi-knihy.cz Všechna práva vyhrazenaSoukromíCookies


Můj účet: Přihlásit se
Všechny knihy světa na jednom místě. Navíc za skvělé ceny.

Nákupní košík ( prázdný )

Vyzvednutí v Balikovně a PPL
boxech
zdarma nad 1 499 Kč.

Nacházíte se: