Nonlinear times series

"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"--

שנה

2014

שפה

English

סדרה

Chapman & Hall/CRC texts in statistical science

הוצאה

CRC Press

מהדורות

1

ISBN

9781466502253

מקור הנתונים: Wikidata