Bayesian Methods in Statistics: From Concepts to Practice
Autor Mel Slateren Limba Engleză Paperback – dec 2021
From an introduction to probability theory through to frameworks for doing rigorous calculations of probability, it discusses Bayes’ Theorem before illustrating how to use it in a variety of different situations with data addressing social and psychological issues.
The book also:
- Equips you with coding skills in the statistical modelling language Stan and programming language R.
- Discusses how Bayesian approaches to statistics compare to classical approaches.
- Introduces Markov Chain Monte Carlo methods for doing Bayesian statistics through computer simulations, so you understand how Bayesian solutions are implemented.
For readers with some understanding of basic mathematical functions and notation, this book will get you up and running so you can do Bayesian statistics with confidence.
Toate formatele și edițiile | Preț | Express |
---|---|---|
Paperback (1) | 389.63 lei 3-5 săpt. | +42.50 lei 6-10 zile |
SAGE Publications – dec 2021 | 389.63 lei 3-5 săpt. | +42.50 lei 6-10 zile |
Hardback (1) | 998.85 lei 6-8 săpt. | |
SAGE Publications – 5 dec 2021 | 998.85 lei 6-8 săpt. |
Preț: 389.63 lei
Nou
Puncte Express: 584
Preț estimativ în valută:
74.57€ • 77.52$ • 61.77£
74.57€ • 77.52$ • 61.77£
Carte disponibilă
Livrare economică 15-29 ianuarie 25
Livrare express 31 decembrie 24 - 04 ianuarie 25 pentru 52.49 lei
Preluare comenzi: 021 569.72.76
Specificații
ISBN-13: 9781529768602
ISBN-10: 1529768608
Pagini: 272
Dimensiuni: 186 x 232 x 20 mm
Greutate: 0.85 kg
Ediția:1
Editura: SAGE Publications
Colecția Sage Publications Ltd
Locul publicării:London, United Kingdom
ISBN-10: 1529768608
Pagini: 272
Dimensiuni: 186 x 232 x 20 mm
Greutate: 0.85 kg
Ediția:1
Editura: SAGE Publications
Colecția Sage Publications Ltd
Locul publicării:London, United Kingdom
Recenzii
A concise and engaging introduction to Bayesian statistics for newcomers in the social sciences, using real world data to highlight these powerful methods of statistical inference.
Cuprins
Chapter 1: Probability
Chapter 2: Probability distributions
Chapter 3: Models and inference
Chapter 4: Relationships between variables
Chapter 5: General models
Chapter 6: Questionnaires and non-quantitative responses
Chapter 7: Multiple issues
Chapter 2: Probability distributions
Chapter 3: Models and inference
Chapter 4: Relationships between variables
Chapter 5: General models
Chapter 6: Questionnaires and non-quantitative responses
Chapter 7: Multiple issues
Notă biografică
Mel Slater is a Distinguished Investigator at the University of Barcelona, and co-Director of the Event Lab (Experimental Virtual Environments for Neuroscience and Technology). He was previously Professor of Virtual Environments at University College London (UCL) in the Department of Computer Science. He was awarded the 2005 IEEE Virtual Reality Career Award: `In Recognition of Pioneering Achievements in Theory and Applications of Virtual Reality¿.
He is Field Editor of Frontiers in Virtual Reality, and Chief Editor of the Human Behaviour in VR section. He was awarded the Humboldt Research Prize from Germany in 2020. He is a Fellow of the Royal Statistical Society.
He is Field Editor of Frontiers in Virtual Reality, and Chief Editor of the Human Behaviour in VR section. He was awarded the Humboldt Research Prize from Germany in 2020. He is a Fellow of the Royal Statistical Society.
Descriere
This book gets you up and running with doing complex Bayesian statistics, focussing on applied analysis rather than maths.