Dynamic Time Series Models using R-INLA

Name: Dynamic Time Series Models using R-INLA
Brand: CRC Press
SKU: 02172960

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2208440Dynamic Time Series Models using R-INLAhttps://www.gandhi.com.mx/dynamic-time-series-models-using-r-inla/phttps://gandhi.vtexassets.com/arquivos/ids/2014292/2fd831c5-6b35-455d-9c3f-8745c6b2d537.jpg?v=63834521426800000013551355MXNCRC PressInStock/Ebooks/Dynamic Time Series Models using R-INLA: An Applied Perspective is the outcome of a joint effort to systematically describe the use of R-INLA for analysing time series and showcasing the code and description by several examples. This book introduces the underpinnings of R-INLA and the tools needed for modelling different types of time series using an approximate Bayesian framework.The book is an ideal reference for statisticians and scientists who work with time series data. It provides an excellent resource for teaching a course on Bayesian analysis using state space models for time series.Key Features:<ul><li>Introduction and overview of R-INLA for time series analysis.</li><li>Gaussian and non-Gaussian state space models for time series.</li><li>State space models for time series with exogenous predictors.</li><li>Hierarchical models for a potentially large set of time series.</li><li>Dynamic modelling of stochastic volatility and spatio-temporal dependence.</li></ul>...2172960Dynamic Time Series Models using R-INLA13551355https://www.gandhi.com.mx/dynamic-time-series-models-using-r-inla/phttps://gandhi.vtexassets.com/arquivos/ids/2014292/2fd831c5-6b35-455d-9c3f-8745c6b2d537.jpg?v=638345214268000000InStockMXN99999DIEbook20229781000622874_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9781000622874_Dynamic Time Series Models using R-INLA: An Applied Perspective is the outcome of a joint effort to systematically describe the use of R-INLA for analysing time series and showcasing the code and description by several examples. This book introduces the underpinnings of R-INLA and the tools needed for modelling different types of time series using an approximate Bayesian framework.The book is an ideal reference for statisticians and scientists who work with time series data. It provides an excellent resource for teaching a course on Bayesian analysis using state space models for time series.Key Features:<ul><li>Introduction and overview of R-INLA for time series analysis.</li><li>Gaussian and non-Gaussian state space models for time series.</li><li>State space models for time series with exogenous predictors.</li><li>Hierarchical models for a potentially large set of time series.</li><li>Dynamic modelling of stochastic volatility and spatio-temporal dependence.</li></ul>...9781000622874_CRC Presslibro_electonico_2accb869-2da3-3c72-9fe0-80b6ea863d1c_9781000622874;9781000622874_9781000622874Refik SoyerInglésMéxicohttps://getbook.kobo.com/koboid-prod-public/taylorandfrancis-epub-3c3aa927-0687-455f-9252-7a5439624523.epub2022-08-10T00:00:00+00:00CRC Press