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digitalthoughtdisruption.com /1 month ago

Bayesian Inference and Predictive Processing: Why AI Needs Evidence

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towardsdatascience.com /6 days ago

Inferring the Host: A Bayesian Look at the Monty Hall Problem

"Always switch" is true for one particular host. Watch a few episodes and you can work out which host you've got. The post Inferring the Host: A Bayesian Look at the Monty Hall Pro...

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towardsdatascience.com /1 month ago

Why You Think Like a Bayesian but Were Taught Like a Frequentist

From a chocolate bar with no price tag to a marketing mix model in PyMC, and the 200-year-old integral that stood in between. The post Why You Think Like a Bayesian but Were Taught...

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journals.plos.org /1 month ago

R-package agentBayes: Likelihood-based statistical methods for agent-based models

by Niklas Moser, Dmitri Finkelshtein, Georgy Chargaziya, Stephen J. Cornell, Sara Hamis, Jacob G. Scott, Dagim Shiferaw Tadele, Otso Ovaskainen Statistically analysing interacting...

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statmodeling.stat.columbia.edu /2 weeks ago

Bayesian Workflow code is at the Bayesian Workflow website!

Bayesian Workflow isn’t just a free pdf, it’s also an ecosystem of worked examples with code. Over and over in the book we go through examples really carefully—God is in every leaf...

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towardsdatascience.com /1 month ago

Beyond Point Predictions: A Practical Introduction to Bayesian Neural Networks

More informed decision-making through uncertainty quantification The post Beyond Point Predictions: A Practical Introduction to Bayesian Neural Networks appeared first on Towards D...

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statmodeling.stat.columbia.edu /2 days ago

How to get the most out of Bayesian Data Analysis

Appendix B of our new Bayesian Workflow book is called “How to get the most out of Bayesian Data Analysis”: Our thinking about Bayesian statistics is summarized in the books Bayesi...

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statmodeling.stat.columbia.edu /3 weeks ago

Prior distributions, partial pooling, and reference sets (Bayesians are frequentists)

Sudip Paul writes: I’ve written a blog post arguing that the philosophical reference class problem — which comparison group is “right” for assigning a probability to an individual...

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journals.plos.org /1 month ago

A Bayesian framework for multivariate differential analysis

by Marie Chion, Arthur Leroy Differential analysis is a routine procedure in the statistical analysis toolbox across many applied fields, including quantitative proteomics, the ma...

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bioengineer.org /1 month ago

Bayesian networks improve probabilistic rainfall inference in Rio de Janeiro

Rio de Janeiro is a city that lives with rain on a knife’s edge. Steep granite massifs plunge into dense coastal neighborhoods, and when moderate storms roll in off the Atlantic, t...

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statmodeling.stat.columbia.edu /2 weeks ago

Getting better causal inferences by using more information (my talk at Stanford this coming Wed)

It’s the political economy seminar at Stanford business school, Wed 14 Oct at noon in room M109: Lagged regression, difference in differences, two way fixed effects, regression dis...

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towardsdatascience.com /1 month ago

The 95% Illusion: Why Your Confidence Interval Isn't What You Think It Is

Frequentist confidence intervals and Bayesian credible intervals answer different questions, and confusing them can distort product decisions The post The 95% Illusion: Why Your Co...

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statmodeling.stat.columbia.edu /1 month ago

Confirmation bias in software testing, Walnutpie edition

So, those exciting results I presented at StanCon about Walnutpie? Let’s pull back the curtain. Confirmation bias in testing Those stellar results were the result of a bug in the w...

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medinform.jmir.org /1 month ago

Bayesian Analysis of AI-Driven Cost Savings in UK and Australian Health Care Systems: Cross-Sector Implementation Study

Background: Health care systems face growing fiscal pressure while AI reaches clinical parity in several domains. UK National Health Service expenditure rose by 52%, while Australi...

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