Bayesian inference in phylogeny

(ML 7.1) Bayesian inference - A simple example

Illustration of the main idea of Bayesian inference, in the simple case of a univariate Gaussian with a Gaussian prior on the mean (and known variances).

From playlist Machine Learning

6 - Bayes' rule in inference - likelihood

Provides an introduction to Bayesian statistics - in particular the likelihood - by running through a simple example of the application of Bayes' rule to the case of inference over a binary parameter, If you are interested in seeing more of the material, arranged into a playlist, please v

From playlist Bayesian statistics: a comprehensive course

7 Bayes' rule in inference the prior and denominator

This provides a short introduction into the use of Bayes' rule in inference, by going through an example where the prior and denominator in the formula are explained. If you are interested in seeing more of the material, arranged into a playlist, please visit: https://www.youtube.com/play

From playlist Bayesian statistics: a comprehensive course

How Bayes Theorem works

Part of the End-to-End Machine Learning School Course 191, Selected Models and Methods at https://e2eml.school/191 A walk through a couple of Bayesian inference examples. The blog: http://brohrer.github.io/how_bayesian_inference_works.html The slides: https://docs.google.com/presentatio

From playlist Talks

10 - Bayes' rule in inference - example: graphical intuition

This provides a complete example of how Bayes' rule can be used to conduct inference over a discrete parameter. If you are interested in seeing more of the material, arranged into a playlist, please visit: https://www.youtube.com/playlist?list=PLFDbGp5YzjqXQ4oE4w9GVWdiokWB9gEpm Unfortun

From playlist Bayesian statistics: a comprehensive course

8 - Bayes' rule in inference - example: the posterior distribution

This provides a complete example of how Bayes' rule can be used to conduct inference over a discrete parameter. If you are interested in seeing more of the material, arranged into a playlist, please visit: https://www.youtube.com/playlist?list=PLFDbGp5YzjqXQ4oE4w9GVWdiokWB9gEpm Unfortun

From playlist Bayesian statistics: a comprehensive course

Tim Sullivan: Brittleness and robustness of Bayesian inference for complex systems

Find this video and other talks given by worldwide mathematicians on CIRM's Audiovisual Mathematics Library: http://library.cirm-math.fr. And discover all its functionalities: - Chapter markers and keywords to watch the parts of your choice in the video - Videos enriched with abstracts, b

From playlist Numerical Analysis and Scientific Computing

Sohini Ramachandran: "Genomic Reconstructions of Deep Human History"

Computational Genomics Summer Institute 2016 "Genomic Reconstructions of Deep Human History" Sohini Ramachandran, Brown University Institute for Pure and Applied Mathematics, UCLA July 19, 2016 For more information: http://computationalgenomics.bioinformatics.ucla.edu/

From playlist Computational Genomics Summer Institute 2016

Sushmita Roy: "Regulatory network inference on developmental and evolutionary lineages"

Computational Genomics Winter Institute 2018 "Regulatory network inference on developmental and evolutionary lineages" Sushmita Roy, University of Wisconsin Madison Institute for Pure and Applied Mathematics, UCLA March 2, 2018 For more information: http://computationalgenomics.bioinfor

From playlist Computational Genomics Winter Institute 2018

Statistical Rethinking 2023 - 16 - Gaussian Processes

Course: https://github.com/rmcelreath/stat_rethinking_2023 Intro music: https://www.youtube.com/watch?v=_3XGEsDSInM Outline 00:00 Introduction 02:37 Oceanic spatial confounds 09:54 Gaussian processes 24:26 Oceanic Gaussian process 33:51 Pause 34:37 Phylogenetic regression 1:18:39 Summary

From playlist Statistical Rethinking 2023

Statistical Rethinking 2023 - 18 - Missing Data

Course: https://github.com/rmcelreath/stat_rethinking_2023 Intro music: https://www.youtube.com/watch?v=RSsstXfcRWw Icebear music: https://www.youtube.com/watch?v=0h9tC3FM9UI Outline 00:00 Introduction 05:18 Missing data in DAGs 19:42 Bayesian imputation part 1 33:34 Pause 34:30 Bayesian

From playlist Statistical Rethinking 2023

16 Sequential Bayes: Data order invariance

A proof of the fact that for independent sequences of data, the order which they are received does not affect the posterior distribution; and hence does not affect inference. If you are interested in seeing more of the material, arranged into a playlist, please visit: https://www.youtube.

From playlist Bayesian statistics: a comprehensive course

Statistical Rethinking 2022 Lecture 16 - Gaussian Processes

Slides and other course materials: https://github.com/rmcelreath/stat_rethinking_2022 Intro: https://www.youtube.com/watch?v=uYNzqgU7na4 Music: https://www.youtube.com/watch?v=kXuasY8pDpA Music: https://www.youtube.com/watch?v=eTtTB0nZdL0 Pause: https://www.youtube.com/watch?v=pxPdsqrQByM

From playlist Statistical Rethinking 2022

Ilan Gronau: "Bayesian demography inference: from parameter estimation to model selection"

Computational Genomics Summer Institute 2017 Tutorial: "Bayesian demography inference: from parameter estimation to model selection" Ilan Gronau, IDC Herzliya Institute for Pure and Applied Mathematics, UCLA July 10, 2017 For more information: http://computationalgenomics.bioinformatics

From playlist Computational Genomics Summer Institute 2017

Statistical Rethinking Winter 2019 Lecture 19

Lecture 19 of the Dec 2018 through March 2019 edition of Statistical Rethinking: A Bayesian Course with R and Stan.

From playlist Statistical Rethinking Winter 2019

15 Bayes' rule: why likelihood is not a probability

An explanation as to why likelihood should not be regarded as a probability when it is used in Bayesian inference. If you are interested in seeing more of the material, arranged into a playlist, please visit: https://www.youtube.com/playlist?list=PLFDbGp5YzjqXQ4oE4w9GVWdiokWB9gEpm Unfor

From playlist Bayesian statistics: a comprehensive course

How do we make and compare phylogenetic trees

This video talks about the procedures we use to reconstruct (estimate) phylogenetic trees from data that we have available. The criteria of parsimony, maximum likelihood, and Bayesian probabilities are contrasted. Lastly, the using of bootstrapping to indicate degrees of confidence in tree

From playlist TAMU: Bio 312 - Evolution | CosmoLearning Biology

20. Coevolution

Principles of Evolution, Ecology and Behavior (EEB 122) Coevolution happens at many levels, not just the level of species. Organelles such as mitochondria and chloroplasts serve as good intracellular examples. Other living things make up a crucial component of an organism's environment.

From playlist Evolution, Ecology and Behavior with Stephen C. Stearns

9 - Bayes' rule in inference - example: forgetting the denominator

This provides a complete example of how Bayes' rule can be used to conduct inference over a discrete parameter. If you are interested in seeing more of the material, arranged into a playlist, please visit: https://www.youtube.com/playlist?list=PLFDbGp5YzjqXQ4oE4w9GVWdiokWB9gEpm Unfortun

From playlist Bayesian statistics: a comprehensive course

Statistical Rethinking Winter 2019 Lecture 20

Lecture 20 of the Dec 2018 through March 2019 edition of Statistical Rethinking: A Bayesian Course with R and Stan. Covers Chapter 15, measurement error and missing data imputation.

From playlist Statistical Rethinking Winter 2019