Export citation

Show simple item record

dc.contributor.authorJavier Prieto Tejedor*
dc.date.accessioned2021-02-11T08:53:21Z
dc.date.available2021-02-11T08:53:21Z
dc.date.issued2017*
dc.date.submitted2019-10-03 07:51:50*
dc.identifier36982*
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/41867
dc.description.abstractThe range of Bayesian inference algorithms and their different applications has been greatly expanded since the first implementation of a Kalman filter by Stanley F. Schmidt for the Apollo program. Extended Kalman filters or particle filters are just some examples of these algorithms that have been extensively applied to logistics, medical services, search and rescue operations, or automotive safety, among others. This book takes a look at both theoretical foundations of Bayesian inference and practical implementations in different fields. It is intended as an introductory guide for the application of Bayesian inference in the fields of life sciences, engineering, and economics, as well as a source document of fundamentals for intermediate Bayesian readers.*
dc.languageEnglish*
dc.subjectQA273-280*
dc.subject.otherPhysical Sciences*
dc.subject.otherEngineering and Technology*
dc.subject.otherMathematics*
dc.subject.otherStatistics*
dc.subject.otherProbability Distribution*
dc.titleBayesian Inference*
dc.typebook
oapen.identifier.doi10.5772/66264*
oapen.relation.isPublishedBy78a36484-2c0c-47cb-ad67-2b9f5cd4a8f6*
virtual.oapen_relation_isPublishedBy.publisher_nameIntechOpen
virtual.oapen_relation_isPublishedBy.publisher_websitehttps://www.intechopen.com/
oapen.relation.isbn9789535135777*
oapen.relation.isbn9789535135784*
oapen.pages378*
oapen.edition1st Edition*


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record