This course introduces the Bayesian approach to statistics, starting with the concept of probability and moving to the analysis of data. We will learn about the philosophy of the Bayesian approach as well as how to implement it for common types of data. We will compare the Bayesian approach to the more commonly-taught Frequentist approach, and see some of the benefits of the Bayesian approach. In particular, the Bayesian approach allows for better accounting of uncertainty, results that have more intuitive and interpretable meaning, and more explicit statements of assumptions. This course combines lecture videos, computer demonstrations, readings, exercises, and discussion boards to create an active learning experience. For computing, you have the choice of using Microsoft Excel or the open-source, freely available statistical package R, with equivalent content for both options. The lectures provide some of the basic mathematical development as well as explanations of philosophy and interpretation. Completion of this course will give you an understanding of the concepts of the Bayesian approach, understanding the key differences between Bayesian and Frequentist approaches, and the ability to do basic data analyses.
Ce cours fait partie de la Spécialisation Statistiques bayésiennes
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Spécialisation Statistiques bayésiennesUniversité de Californie à Santa CruzÀ propos de ce cours
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Essayez Coursera pour les affairesCompétences que vous acquerrez
- Statistics
- Bayesian Statistics
- Bayesian Inference
- R Programming
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Programme de cours : ce que vous apprendrez dans ce cours
Probability and Bayes' Theorem
Statistical Inference
Priors and Models for Discrete Data
Models for Continuous Data
Avis
- 5 stars66,85 %
- 4 stars25,46 %
- 3 stars5,37 %
- 2 stars1,33 %
- 1 star0,96 %
Meilleurs avis pour BAYESIAN STATISTICS: FROM CONCEPT TO DATA ANALYSIS
A very good introduction to Bayesian Statistics.Couple of optional R modules of data analysis could have been introduced . However, prerequisites are essential in order to appreciate the course.
Very insightful. I'd recommend this course to anyone who wants to learn how to adjust a model after observing data. Test questions were quite practical modeling real world scenarios.
Exceptional course on probabilities and statistics from a Bayesian point of view. I would recommend this course to anyone wishing to learn more about probabilities and statistics.
the notes for the lectures are missing.
In my opinion the notes, which includes the video materials could be very useful.
the course was good. I learnt some new concepts in bayesian thinking.
À propos du Spécialisation Statistiques bayésiennes
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