Bayesian Compendium (Paperback, 1st ed. 2020)

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.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Release date:	September 2021
First published:	2020
Authors:	Marcel van Oijen
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	204
Edition:	1st ed. 2020
ISBN-13:	978-3-03-055899-4
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Professional & Technical > Environmental engineering & technology > Environmental monitoring Books > Science & Mathematics > Chemistry > Analytical chemistry > General Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues > Ecological science, the Biosphere Promotions
LSN:	3-03-055899-1
Barcode:	9783030558994

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