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Bayesian time series models

The first unified treatment of time series modelling techniques spanning machine learning, statistics, engineering and computer science.

Detalles Bibliográficos
Autores principales: Barber, David, Cemgil, A Taylan, Chiappa, Silvia
Lenguaje:eng
Publicado: Cambridge University Press 2011
Materias:
Acceso en línea:http://cds.cern.ch/record/1641922
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author Barber, David
Cemgil, A Taylan
Chiappa, Silvia
author_facet Barber, David
Cemgil, A Taylan
Chiappa, Silvia
author_sort Barber, David
collection CERN
description The first unified treatment of time series modelling techniques spanning machine learning, statistics, engineering and computer science.
id cern-1641922
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2011
publisher Cambridge University Press
record_format invenio
spelling cern-16419222021-04-21T21:23:14Zhttp://cds.cern.ch/record/1641922engBarber, DavidCemgil, A TaylanChiappa, SilviaBayesian time series modelsMathematical Physics and Mathematics The first unified treatment of time series modelling techniques spanning machine learning, statistics, engineering and computer science.Cambridge University Pressoai:cds.cern.ch:16419222011
spellingShingle Mathematical Physics and Mathematics
Barber, David
Cemgil, A Taylan
Chiappa, Silvia
Bayesian time series models
title Bayesian time series models
title_full Bayesian time series models
title_fullStr Bayesian time series models
title_full_unstemmed Bayesian time series models
title_short Bayesian time series models
title_sort bayesian time series models
topic Mathematical Physics and Mathematics
url http://cds.cern.ch/record/1641922
work_keys_str_mv AT barberdavid bayesiantimeseriesmodels
AT cemgilataylan bayesiantimeseriesmodels
AT chiappasilvia bayesiantimeseriesmodels