Definition of conjugate priors, and a couple of examples. For more detailed examples, see the videos on the Beta-Bernoulli model, the Dirichlet-Categorical model, and the posterior distribution of a univariate Gaussian.
From playlist Machine Learning
What is the complex conjugate?
What is the complex conjugate of a complex number? Free ebook http://bookboon.com/en/introduction-to-complex-numbers-ebook
From playlist Intro to Complex Numbers
Conjugate of products is product of conjugates
For all complex numbers, why is the conjugate of two products equal to the product of their conjugates? Basic example is discussed. Free ebook http://bookboon.com/en/introduction-to-complex-numbers-ebook
From playlist Intro to Complex Numbers
Calculations with the complex conjugate
How to perform calculations with the complex conjugate. Free ebook http://bookboon.com/en/introduction-to-complex-numbers-ebook
From playlist Intro to Complex Numbers
17 - Conjugate priors - an introduction
This video provides a short introduction to the concept of 'conjugate prior distributions'; covering its definition, examples and why we may choose to specify a distribution that is conjugate to a given likelihood. If you are interested in seeing more of the material, arranged into a play
From playlist Bayesian statistics: a comprehensive course
Calculus 2: Complex Numbers & Functions (8 of 28) Conjugate Rules 1 and 2
Visit http://ilectureonline.com for more math and science lectures! In this video I will explain and show numerically that the sum and product of the conjugate are the sums and products of its conjugates, rules 1 and 2. Next video in the series can be seen at: https://youtu.be/QsalK_U5Lm
From playlist CALCULUS 2 CH 11 COMPLEX NUMBERS
Ex: Multiplying Complex Conjugates
This video defines complex conjugates and provides and example of how to determine the product of complex conjugates. Library: http://mathispower4u.com Search: http://mathispower4u.wordpress.com
From playlist Performing Operations with Complex Numbers
Bayesian Statistics: An Introduction
See all my videos here: http://www.zstatistics.com/videos/ 0:00 Introduction 2:25 Frequentist vs Bayesian 5:55 Bayes Theorum 10:45 Visual Example 15:05 Bayesian Inference for a Normal Mean 24:30 Conjugate priors 32:55 Credible Intervals
From playlist Statistical Inference (7 videos)
Complex conjugate and linear systems
How to solve linear systems with the complex conjugate. Free ebook http://bookboon.com/en/introduction-to-complex-numbers-ebook
From playlist Intro to Complex Numbers
Kerrie Mengersen: Bayesian Modelling
Abstract: This tutorial will be a beginner’s introduction to Bayesian statistical modelling and analysis. Simple models and computational tools will be described, followed by a discussion about implementing these approaches in practice. A range of case studies will be presented and possibl
From playlist Probability and Statistics
20 - Beta conjugate prior to Binomial and Bernoulli likelihoods
This video sketches a short proof of the fact that a Beta distribution is conjugate to both Binomial and Bernoulli likelihoods. If you are interested in seeing more of the material, arranged into a playlist, please visit: https://www.youtube.com/playlist?list=PLFDbGp5YzjqXQ4oE4w9GVWdiokWB
From playlist Bayesian statistics: a comprehensive course
41 - Proof: Gamma prior is conjugate to Poisson likelihood
This video provides a proof of the fact that a Gamma prior distribution is conjugate to a Poisson likelihood function. If you are interested in seeing more of the material on Bayesian statistics, arranged into a playlist, please visit: https://www.youtube.com/playlist?list=PLFDbGp5YzjqXQ4
From playlist Bayesian statistics: a comprehensive course
A description of the syllabus that will be covered in this course on Bayesian statistics. If you are interested in seeing more of the material, arranged into a playlist, please visit: https://www.youtube.com/playlist?list=PLFDbGp5YzjqXQ4oE4w9GVWdiokWB9gEpm Unfortunately, Ox Educ is no m
From playlist Bayesian statistics: a comprehensive course
Stanford CS234: Reinforcement Learning | Winter 2019 | Lecture 12 - Fast Reinforcement Learning II
For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/ai Professor Emma Brunskill, Stanford University http://onlinehub.stanford.edu/ Professor Emma Brunskill Assistant Professor, Computer Science Stanford AI for Hu
From playlist Stanford CS234: Reinforcement Learning | Winter 2019
ML Tutorial: Probabilistic Numerical Methods (Jon Cockayne)
Machine Learning Tutorial at Imperial College London: Probabilistic Numerical Methods Jon Cockayne (University of Warwick) February 22, 2017
From playlist Machine Learning Tutorials
Complex Conjugate Root Theorem (2 of 2: Other conjugate properties)
More resources available at www.misterwootube.com
From playlist Using Complex Numbers
Jason Parker - Covariant Isotropy of Grothendieck Toposes
Talk at the school and conference “Toposes online” (24-30 June 2021): https://aroundtoposes.com/toposesonline/ Slides: https://aroundtoposes.com/wp-content/uploads/2021/07/ParkerSlidesToposesOnline.pdf Covariant isotropy can be regarded as providing an abstract notion of conjugation or i
From playlist Toposes online