Op werkdagen voor 23:00 besteld, morgen in huis Gratis verzending vanaf €20

Time Series

Modeling, Computation, and Inference

Gebonden Engels 9781420093360
Verwachte levertijd ongeveer 10 werkdagen


Focusing on Bayesian approaches and computations using simulation-based methods for inference, Time Series: Modeling, Computation, and Inference integrates mainstream approaches for time series modeling with significant recent developments in methodology and applications of time series analysis. It encompasses a graduate-level account of Bayesian time series modeling and analysis, a broad range of references to state-of-the-art approaches to univariate and multivariate time series analysis, and emerging topics at research frontiers.

The book presents overviews of several classes of models and related methodology for inference, statistical computation for model fitting and assessment, and forecasting. The authors also explore the connections between time- and frequency-domain approaches and develop various models and analyses using Bayesian tools, such as Markov chain Monte Carlo (MCMC) and sequential Monte Carlo (SMC) methods. They illustrate the models and methods with examples and case studies from a variety of fields, including signal processing, biomedicine, and finance. Data sets, R and MATLAB® code, and other material are available on the authors’ websites.

Along with core models and methods, this text offers sophisticated tools for analyzing challenging time series problems. It also demonstrates the growth of time series analysis into new application areas.


Aantal pagina's:368
Uitgever:Taylor and Francis


Wees de eerste die een lezersrecensie schrijft!

Geef uw waardering

Zeer goed Goed Voldoende Matig Slecht

Alle 100 bestsellers


Populaire producten



        Time Series