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An Introduction to Bayesian Inference, Methods and Computation
Published by Springer Nature Switzerland AG, 2022
ISBN 10: 3030828107 ISBN 13: 9783030828103
Language: English
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An Introduction to Bayesian Inference, Methods and Computation
Published by Springer Nature Switzerland AG, 2022
ISBN 10: 3030828107 ISBN 13: 9783030828103
Language: English
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An Introduction to Bayesian Inference, Methods and Computation
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An Introduction to Bayesian Inference, Methods and Computation
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An Introduction to Bayesian Inference, Methods and Computation
Published by Springer Nature Switzerland AG, CH, 2022
ISBN 10: 3030828107 ISBN 13: 9783030828103
Language: English
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Add to basketPaperback. Condition: New. 2021 ed. These lecture notes provide a rapid, accessible introduction to Bayesian statistical methods. The course covers the fundamental philosophy and principles of Bayesian inference, including the reasoning behind the prior/likelihood model construction synonymous with Bayesian methods, through to advanced topics such as nonparametrics, Gaussian processes and latent factor models. These advanced modelling techniques can easily be applied using computer code samples written in Python and Stan which are integrated into the main text. Importantly, the reader will learn methods for assessing model fit, and to choose between rival modelling approaches.
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An Introduction to Bayesian Inference, Methods and Computation
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Condition: New. 1st ed. 2021 edition NO-PA16APR2015-KAP.
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An Introduction to Bayesian Inference, Methods and Computation
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Introduction to Bayesian Inference, Methods and Computation
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Introduction to Bayesian Inference, Methods and Computation
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An Introduction to Bayesian Inference, Methods and Computation
Published by Springer, Berlin|Springer International Publishing|Springer, 2022
ISBN 10: 3030828107 ISBN 13: 9783030828103
Language: English
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Add to basketCondition: New. These lecture notes provide a rapid, accessible introduction to Bayesian statistical methods. The course covers the fundamental philosophy and principles of Bayesian inference, including the reasoning behind the prior/likelihood model construction synony.
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An Introduction to Bayesian Inference, Methods and Computation
Published by Springer International Publishing, Springer Nature Switzerland Okt 2022, 2022
ISBN 10: 3030828107 ISBN 13: 9783030828103
Language: English
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Add to basketTaschenbuch. Condition: Neu. Neuware -These lecture notes provide a rapid, accessible introduction to Bayesian statistical methods. The course covers the fundamental philosophy and principles of Bayesian inference, including the reasoning behind the prior/likelihood model construction synonymous with Bayesian methods, through to advanced topics such as nonparametrics, Gaussian processes and latent factor models. These advanced modelling techniques can easily be applied using computer code samples written in Python and Stan which are integrated into the main text. Importantly, the reader will learn methods for assessing model fit, and to choose between rival modelling approaches.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 184 pp. Englisch.
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An Introduction to Bayesian Inference, Methods and Computation
Published by Springer International Publishing, Springer Nature Switzerland, 2022
ISBN 10: 3030828107 ISBN 13: 9783030828103
Language: English
US$ 90.41
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Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - These lecture notes provide a rapid, accessible introduction to Bayesian statistical methods. The course covers the fundamental philosophy and principles of Bayesian inference, including the reasoning behind the prior/likelihood model construction synonymous with Bayesian methods, through to advanced topics such as nonparametrics, Gaussian processes and latent factor models. These advanced modelling techniques can easily be applied using computer code samples written in Python and Stan which are integrated into the main text. Importantly, the reader will learn methods for assessing model fit, and to choose between rival modelling approaches.
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Add to basketPaperback. Condition: Brand New. 181 pages. 9.25x6.10x0.71 inches. In Stock.
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Condition: New. 1st ed. 2021 edition NO-PA16APR2015-KAP.
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An Introduction to Bayesian Inference, Methods and Computation
Published by Springer Nature Switzerland AG, CH, 2022
ISBN 10: 3030828107 ISBN 13: 9783030828103
Language: English
US$ 94.48
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Add to basketPaperback. Condition: New. 2021 ed. These lecture notes provide a rapid, accessible introduction to Bayesian statistical methods. The course covers the fundamental philosophy and principles of Bayesian inference, including the reasoning behind the prior/likelihood model construction synonymous with Bayesian methods, through to advanced topics such as nonparametrics, Gaussian processes and latent factor models. These advanced modelling techniques can easily be applied using computer code samples written in Python and Stan which are integrated into the main text. Importantly, the reader will learn methods for assessing model fit, and to choose between rival modelling approaches.
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An Introduction to Bayesian Inference, Methods and Computation
Published by Springer International Publishing, Springer Nature Switzerland Okt 2021, 2021
ISBN 10: 3030828077 ISBN 13: 9783030828073
Language: English
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Add to basketBuch. Condition: Neu. Neuware -These lecture notes provide a rapid, accessible introduction to Bayesian statistical methods. The course covers the fundamental philosophy and principles of Bayesian inference, including the reasoning behind the prior/likelihood model construction synonymous with Bayesian methods, through to advanced topics such as nonparametrics, Gaussian processes and latent factor models. These advanced modelling techniques can easily be applied using computer code samples written in Python and Stan which are integrated into the main text. Importantly, the reader will learn methods for assessing model fit, and to choose between rival modelling approaches.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 184 pp. Englisch.
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An Introduction to Bayesian Inference, Methods and Computation
Published by Springer International Publishing, Springer Nature Switzerland, 2021
ISBN 10: 3030828077 ISBN 13: 9783030828073
Language: English
US$ 129.15
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Add to basketBuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - These lecture notes provide a rapid, accessible introduction to Bayesian statistical methods. The course covers the fundamental philosophy and principles of Bayesian inference, including the reasoning behind the prior/likelihood model construction synonymous with Bayesian methods, through to advanced topics such as nonparametrics, Gaussian processes and latent factor models. These advanced modelling techniques can easily be applied using computer code samples written in Python and Stan which are integrated into the main text. Importantly, the reader will learn methods for assessing model fit, and to choose between rival modelling approaches.
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US$ 178.38
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Add to basketHardcover. Condition: Brand New. 169 pages. 9.75x6.50x0.50 inches. In Stock.
