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  1. Bog
  2. Sandsynlighedsregning og statistik
  3. Bayesiansk statistik

Bayesian Compendium

Af: Marcel van Oijen Engelsk Paperback

Bayesian Compendium

Af: Marcel van Oijen Engelsk Paperback
Tjek vores konkurrenters priser

This book describes how Bayesian methods work. Its primary aim is to demystify them, and to show readers: Bayesian thinking isn''t difficult and can be used in virtually every kind of research. In addition to revealing the underlying simplicity of statistical methods, the book explains how to parameterise and compare models while accounting for uncertainties in data, model parameters and model structures.

How exactly should data be used in modelling? The literature offers a bewildering variety of techniques and approaches (Bayesian calibration, data assimilation, Kalman filtering, model-data fusion, etc). This book provides a short and easy guide to all of these and more. It was written from a unifying Bayesian perspective, which reveals how the multitude of techniques and approaches are in fact all related to one another. Basic notions from probability theory are introduced. Executable code examples are included to enhance the book''s practical use for scientific modellers, and all code is available online as well.

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This book describes how Bayesian methods work. Its primary aim is to demystify them, and to show readers: Bayesian thinking isn''t difficult and can be used in virtually every kind of research. In addition to revealing the underlying simplicity of statistical methods, the book explains how to parameterise and compare models while accounting for uncertainties in data, model parameters and model structures.

How exactly should data be used in modelling? The literature offers a bewildering variety of techniques and approaches (Bayesian calibration, data assimilation, Kalman filtering, model-data fusion, etc). This book provides a short and easy guide to all of these and more. It was written from a unifying Bayesian perspective, which reveals how the multitude of techniques and approaches are in fact all related to one another. Basic notions from probability theory are introduced. Executable code examples are included to enhance the book''s practical use for scientific modellers, and all code is available online as well.

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Se mere i:
Produktdetaljer
Sprog: Engelsk
Sider: 204
ISBN-13: 9783030558994
Indbinding: Paperback
Udgave:
ISBN-10: 3030558991
Kategori: Bayesiansk statistik
Udg. Dato: 19 sep 2021
Længde: 0mm
Bredde: 155mm
Højde: 235mm
Forlag: Springer Nature Switzerland AG
Oplagsdato: 19 sep 2021
Forfatter(e): Marcel van Oijen
Forfatter(e) Marcel van Oijen

Kategori Bayesiansk statistik

ISBN-13 9783030558994

Sprog Engelsk

Indbinding Paperback

Sider 204

Udgave

Længde 0mm

Bredde 155mm

Højde 235mm

Udg. Dato 19 sep 2021

Oplagsdato 19 sep 2021

Forlag Springer Nature Switzerland AG

Kategori sammenhænge