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svmiller.com | ||
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juliasilge.com
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| | | | | A data science blog | |
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aosmith.rbind.io
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| | | | | Where I discuss simulations, why I love them, and get started on a simulation series with a simple two-group linear model simulation. | |
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codeandculture.wordpress.com
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| | | | | A coauthor and I are doing power analyses based on a pilot test and we quickly realized that it's really hard to calculate a power analysis for anything much more exotic than a t-test of means. As I usually do when there's no obvious solution, I decided to just brute force it with a Monte... | |
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jaketae.github.io
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| | | 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. | ||
