Explore >> Select a destination
|
You are here 
|
alexanderetz.com | ||
| | | | |
andrewjaffe.net
|
|
| | | | | ||
| | | | |
jaketae.github.io
|
|
| | | | | So far on this blog, we have looked the mathematics behind distributions, most notably binomial, Poisson, and Gamma, with a little bit of exponential. These distributions are interesting in and of themselves, but their true beauty shines through when we analyze them under the light of Bayesian inference. In today's post, we first develop an intuition for conditional probabilities to derive Bayes' theorem. From there, we motivate the method of Bayesian inference as a means of understanding probability. | |
| | | | |
errorstatistics.com
|
|
| | | | | Below is an email exchange that Andrew Gelman posted on this day 5 years ago on his blog, Statistical Modeling, Causal Inference, and Social Science. (You can find the original exchange, with its 130 comments, here.) Note: "Me" refers to Gelman. I will share my current reflections in the comments. Exchange with Deborah Mayo on... | |
| | | | |
andrewpwheeler.com
|
|
| | | For my advanced research design course this semester I have been providing code snippets in Stata and R. This is the first time I've really sat down and programmed extensively in Stata, and this is a followup to produce some of the same plots and model fit statistics for group based trajectory statistics as this... | ||
