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Course exercises: https://github.com/seananderson/bayes-course Timestamps: 0:00 Thinking like a Bayesian intro 11:33 ...

Posterior and prior predictive checking and an introduction to Bayesian data analysis with the brms R package Course exercises: ...

Course exercises: https://github.com/seananderson/bayes... Timestamps: 0:00 Divergent transitions 28:10 Bayesian workflow ...

Bayesian Reasoning in Practice: Intuitive, Powerful, and Immediately Useful Session 1 of 3 | A Gentle Introduction to Bayesian ...

So I'm departing from the typical approach so so far we were talking about family of n alternative bandits and then we were trying ...

Bayesian Reasoning in Practice: Intuitive, Powerful, and Immediately Useful Session 2 of 3 | Introduction of Bayesian Workflow ...

Bayesian Reasoning in Practice: Intuitive, Powerful, and Immediately Useful Session 1 of 3 [RECAP] | A Gentle Introduction to ...

This is Lecture 20 of the course on Probabilistic Machine Learning in the Summer Term of 2025 at the University of Tübingen, ...

In this talk, Bernardo Caldas explores how probabilistic models handle uncertainty and why Bayesian methods excel when data is ...

As the Bayesian approach is receiving an increasing interest within archaeology, this paper will present its application in the ...

This is Lecture 25 of the course on Probabilistic Machine Learning in the Summer Term of 2025 at the University of Tübingen, ...

Very freeform, review-style, uncut and unedited. This was me exploring this web app for Bayesian optimization and "thinking out ...

This is Lecture 21 of the course on Probabilistic Machine Learning in the Summer Term of 2025 at the University of Tübingen, ...

Focused on the GitHub pages documentation.

This is Lecture 23 of the course on Probabilistic Machine Learning in the Summer Term of 2025 at the University of Tübingen, ...

What is the correct meaning and interpretation of p-values? ✧ I really hope you found a helpful solution! ♡ The Content is ...

This is Lecture 22 of the course on Probabilistic Machine Learning in the Summer Term of 2025 at the University of Tübingen, ...

Standardizing Soil Thermal Inertia Derivations with Bayesian Statistics. See also: ...

This is Lecture 24 of the course on Probabilistic Machine Learning in the Summer Term of 2025 at the University of Tübingen, ...

Alumni Meeting of the Bernstein Center for Computational Neuroscience (BCCN) Berlin, Germany Talk Title: "Adventures in ...

The Acceleration Consortium and Merck KGaA hosted a 2-day virtual hackathon on March 27-28, 2024, bringing together ...

In this video, we explore the intersection of biomedical data science, neural engineering, and clinical psychiatry. We begin by ...

This new paper presents a Bayesian approach - a powerful statistical method that automates the process of both cleaning up ...