Description: Nonlinear Time Series : Theory, Methods, and Applications with R Examples, Hardcover by Douc, Randal; Moulines, Eric; Stoffer, David S., ISBN 1466502258, ISBN-13 9781466502253, Like New Used, Free shipping in the US "This text emphasizes nonlinear models for a course in time series analysis. After introducing stochastic processes, Markov chains, Poisson processes, and ARMA models, the authors cover functional autoregressive, ARCH, threshold AR, and discrete time series models as well as several complementary approaches. They discuss the main limit theorems for Markov chains, useful inequalities, statistical techniques to infer model parameters, and GLMs. Moving on to HMM models, th examines filtering and smoothing, parametric and nonparametric inference, advanced particle filtering, and numerical methods for inference"--
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Book Title: Nonlinear Time Series : Theory, Methods, and Applications with R
Number of Pages: 551 Pages
Publication Name: Nonlinear Time Series : Theory, Methods and Applications with R Examples
Language: English
Publisher: CRC Press LLC
Publication Year: 2014
Subject: Probability & Statistics / General, Probability & Statistics / Time Series
Item Height: 1.4 in
Type: Textbook
Item Weight: 32.9 Oz
Subject Area: Mathematics
Item Length: 9.6 in
Author: Eric Moulines, David Stoffer, Randal Douc
Item Width: 6.4 in
Series: Chapman and Hall/Crc Texts in Statistical Science Ser.
Format: Hardcover
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