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Bayesian


Bayesian Books

Bayesian Data Analysis
Doing Bayesian Data Analysis: A Tutorial Introduction with R and BUGS
Think Bayes: Bayesian Statistics in Python
Bayesian Statistics the Fun Way: Understanding Statistics and Probability with Star Wars, LEGO, and Rubber Ducks
Data Analysis Using Regression and Multilevel/Hierarchical Models
DATA ANALYSIS:BAYESIAN TUTORIAL 2E PAPER: A Bayesian Tutorial
Statistical Rethinking: A Bayesian Course with Examples in R and Stan (Chapman & Hall/CRC Texts in Statistical Science)
Bayesian Reasoning and Machine Learning
Pattern Recognition and Machine Learning (Information Science and Statistics)
Bayesian Methods for Hackers: Probabilistic Programming and Bayesian Inference
Bayes Theorem Examples: A Visual Guide For Beginners
Bayesian Computation with R (Use R)
Bayesian Statistics and Marketing
Bayesian Analysis with Python: Click here to enter text.
Probabilistic Graphical Models: Principles and Techniques
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Lists

Obliquity by John KayRationality in Action by John Rogers SearleBayesian Rationality by Mike OaksfordThe Myth of the Framework by Karl PopperCFAR Applied Rationality Workshop - Participant Handbook by CFAR, Duncan Sabien
Rationality
93 books — 2 voters
Studies in the history of statistics and probability by E.S. PearsonBayesian Epistemology by Luc BovensLogical Foundations of Probability by Rudolf CarnapMeaning and Necessity by Rudolf CarnapPutting Logic in Its Place by David Christensen
Bayesian Epistemology
37 books — 1 voter

Quotes Tagged “Bayesian”

“ With Bayesian networks, we had taught machines to think in shades of grey, and this was an important step toward humanlike thinking. But we still couldn't teach machines to understand causes and effects. We couldn't explain to a computer why turning the dial of a barometer won't cause rain.... Without the ability to envision alternate realities and contrast them with the currently existing reality, a machine...cannot answer the most basic question that makes us human: "Why? ...more ”
― Judea Pearl, The Book of Why: The New Science of Cause and Effect
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“ But the point is one of probability: we all have a lifetime’s experience of the laws of nature not being broken, and we also have a lifetime’s experience of people saying things that are not true. If someone says, “I saw a dead man come back to life,” most of us would consider it more likely that that someone is wrong, or lying, than that they actually saw a dead man come back to life. So, says Hume, we should ignore that testimony as irrelevant. But Price, newly armed with Bayes’ theorem, wante ...more ”
― Tom Chivers
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