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Cover: 9781316642214 | Practical Bayesian Inference | Coryn A. L. Bailer-Jones | Taschenbuch
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Practical Bayesian Inference
Taschenbuch von Coryn A. L. Bailer-Jones
Sprache: Englisch

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Beschreibung
This book introduces the major concepts of probability and statistics, along with the necessary computational tools, for undergraduates and graduate students.
This book introduces the major concepts of probability and statistics, along with the necessary computational tools, for undergraduates and graduate students.
Über den Autor
Coryn A. L. Bailer-Jones was educated at the University of Oxford and the University of Cambridge. He has worked on modelling the processing of metals and has done research into the properties of low mass stars and brown dwarfs. He is a senior staff member at the Max-Planck-Institut für Astronomie, Heidelberg, where he leads a group working on the analysis of data from the Gaia survey mission. He also teaches statistics and physics at Universität Heidelberg. His main scientific interests are statistical inference, stars and our Galaxy, and the impact of astronomical phenomena on the Earth.
Inhaltsverzeichnis
Preface; 1. Probability basics; 2. Estimation and uncertainty; 3. Statistical models and inference; 4. Linear models, least squares, and maximum likelihood; 5. Parameter estimation: single parameter; 6. Parameter estimation: multiple parameters; 7. Approximating distributions; 8. Monte Carlo methods for inference; 9. Parameter estimation: Markov chain Monte Carlo; 10. Frequentist hypothesis testing; 11. Model comparison; 12. Dealing with more complicated problems; References; Index.
Details
Erscheinungsjahr: 2019
Fachbereich: Wahrscheinlichkeitstheorie
Genre: Mathematik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Inhalt: Kartoniert / Broschiert
ISBN-13: 9781316642214
ISBN-10: 1316642216
Sprache: Englisch
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Autor: Bailer-Jones, Coryn A. L.
Hersteller: Cambridge University Press
Maße: 246 x 189 x 17 mm
Von/Mit: Coryn A. L. Bailer-Jones
Erscheinungsdatum: 22.03.2019
Gewicht: 0,596 kg
Artikel-ID: 109133026
Über den Autor
Coryn A. L. Bailer-Jones was educated at the University of Oxford and the University of Cambridge. He has worked on modelling the processing of metals and has done research into the properties of low mass stars and brown dwarfs. He is a senior staff member at the Max-Planck-Institut für Astronomie, Heidelberg, where he leads a group working on the analysis of data from the Gaia survey mission. He also teaches statistics and physics at Universität Heidelberg. His main scientific interests are statistical inference, stars and our Galaxy, and the impact of astronomical phenomena on the Earth.
Inhaltsverzeichnis
Preface; 1. Probability basics; 2. Estimation and uncertainty; 3. Statistical models and inference; 4. Linear models, least squares, and maximum likelihood; 5. Parameter estimation: single parameter; 6. Parameter estimation: multiple parameters; 7. Approximating distributions; 8. Monte Carlo methods for inference; 9. Parameter estimation: Markov chain Monte Carlo; 10. Frequentist hypothesis testing; 11. Model comparison; 12. Dealing with more complicated problems; References; Index.
Details
Erscheinungsjahr: 2019
Fachbereich: Wahrscheinlichkeitstheorie
Genre: Mathematik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Inhalt: Kartoniert / Broschiert
ISBN-13: 9781316642214
ISBN-10: 1316642216
Sprache: Englisch
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Autor: Bailer-Jones, Coryn A. L.
Hersteller: Cambridge University Press
Maße: 246 x 189 x 17 mm
Von/Mit: Coryn A. L. Bailer-Jones
Erscheinungsdatum: 22.03.2019
Gewicht: 0,596 kg
Artikel-ID: 109133026
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