Practical Bayesian inference : a primer for physical scientists /
Science is fundamentally about learning from data, and doing so in the presence of uncertainty. Uncertainty arises inevitably and avoidably in many guises. It comes from noise in our measurements. We cannot measure exactly. It comes from sampling effects. We cannot measure everything. It comes from...
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| Format: | Book |
| Language: | English |
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Cambridge ; New York :
Cambridge University Press,
[2017]
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| Summary: | Science is fundamentally about learning from data, and doing so in the presence of uncertainty. Uncertainty arises inevitably and avoidably in many guises. It comes from noise in our measurements. We cannot measure exactly. It comes from sampling effects. We cannot measure everything. It comes from complexity. Data may be numerous, high dimensional and correlated, making it difficult to see structures. This book is an introduction to statistical methods for analysing data. It presents the major concepts of probability and statistics as well as the computational tools we need to extract meaning from data in the presence of uncertainty. |
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| Physical Description: | ix, 295 pages : illustrations ; 26 cm. |
| Bibliography: | Includes bibliographical references (pages [289]-290) and index. |
| ISBN: | 9781107192119 1107192110 9781316642214 1316642216 |