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Nonlinear Time Series
Theory, Methods and Applications with R Examples
Language
English
English
E-book
Adobe ePub DRM
This text emphasizes nonlinear models for a course in time series analysis. After introducing stocha...
Full description
Libristo code: 45153441
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426 b
426 b
175.50
€
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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, the book examines filtering and smoothing, parametric and nonparametric inference, advanced particle filtering, and numerical methods for inference.
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About the book
Full name
Nonlinear Time Series
Author
Randal Douc, Eric Moulines, David Stoffer
Language
English
English
Binding
E-book - Adobe ePub DRM
Date of issue
2014
Number of pages
551
EAN
9781040064542
Libristo code
45153441
Publishers
Chapman and Hall/CRC
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