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  • Nonlinear Time Series

    Theory, Methods and Applications with R Examples

    by Randal Douc, Eric Moulines, David Stoffer ...
    Series series Chapman & Hall/CRC Texts in Statistical Science
    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 ... Read more

    $171.99 USD