An introduction to the
An introduction to the concepts of Bayesian analysis using Stata 14. We use a coin toss experiment to demonstrate the idea of prior probability, likelihood functions, posterior probabilities, posterior means and probabilities as well as credible intervals. Copyright 2011-2019 StataCorp LLC. All rights reserved.
Excellent video, you just saved my life.
Thank you very much for the explanations of non-informative prior and informative prior. Very helpful for my research.
what tHE BLEEP did he just say?
1:25 Why does this mean? Prior = Beta (1.0, 1.0)
how to calculate odd ratio in bayesian ordered logistic plz tell me
Explains what is meant by
Explains what is meant by the concept of a ‘sufficient statistic’, and how these summary statistics are important in likelihood-based methods.
This video is part of a lecture course which closely follows the material covered in the book, "A Student's Guide to Bayesian Statistics", published by Sage, which is available to order on Amazon here: https://www.amazon.co.uk/Students-Guide-Bayesian-Statistics/dp/1473916364
For more information on all things Bayesian, have a look at: https://ben-lambert.com/bayesian/. The playlist for the lecture course is here: https://www.youtube.com/playlist?list=PLwJRxp3blEvZ8AKMXOy0fc0cqT61GsKCG&disable_polymer=true
This video sufficiently well explained the concept.
blue print on blue background. Am I the only one who is having trouble reading this?
Thanks so much! That was a good explanation about sufficiency!
which other book can we refer for this topic?