Abstract
Focusing on Bayesian approaches and computations u; Time Series: Modeling; Computation; and Inference integrates mainstream approaches for; a broad range of references to state-of-the-art ap; and emerging topics at research frontiers. The boo; statistical computation for model fitting and asse; and forecasting. The authors also explore the conn; such as Markov chain Monte Carlo (MCMC) and sequen; including signal processing; biomedicine; and finance. Data sets; R and MATLABʼ code; and other material are available on the authors' w; this text offers sophisticated tools for analyzing.
Cite
CITATION STYLE
Bakouch, H. S. (2012). Time series: Modeling, Computation, and Inference. Journal of Applied Statistics, 39(4), 923–923. https://doi.org/10.1080/02664763.2012.657378
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