Nonlinear Time Series: Theory, Methods, and Applications with R Examples - Couverture rigide

Livre 43 sur 139: Chapman & Hall/CRC Texts in Statistical Science

Douc, Randal; Moulines, Eric; Stoffer, David

 
9781466502253: Nonlinear Time Series: Theory, Methods, and Applications with R Examples

Synopsis

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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À propos de l?auteur

Randal Douc, Eric Moulines, David Stoffer

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.