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You are here		dm13450.github.io An Introduction to Julia and Distributions \| Dean Markwick
\|	\|	poissonisfish.com Probability distributions in R - poissonisfish	3.1 parsecs away Travel
\|	\|	Someof the most fundamental functions in R, in my opinion, are those that deal with probability distributions. Whenever you compute a P-value you relyon a probability distribution, and there are many types out there. In this exercise I will cover four: Bernoulli, Binomial, Poisson, and Normal distributions. Let me begin with some theory first: Bernoulli...	3.1 parsecs away Travel
\|	\|	www.econometricsbysimulation.com Econometrics By Simulation: A note on debugging in Stata	4.6 parsecs away Travel
\|	\|	Simulations, Econometrics, Stata, R,intelligent mulit-agent systems, Psychometrics, latent modelling, maximization, statistics, quantitative methods.	4.6 parsecs away Travel
\|	\|	nelari.us Using inverse transform sampling to generate random numbers in a given distribution // My thought repository	4.7 parsecs away Travel
\|	\|	In inverse transform sampling, the inverse cumulative distribution function is used to generate random numbers in a given distribution. But why does this work? And how can you use it to generate random numbers in a given distribution by drawing random numbers from any arbitrary distribution?	4.7 parsecs away Travel
\|	\|	doingbayesiandataanalysis.blogspot.com Doing Bayesian Data Analysis: Benchmark Bayes factors for uncertain prior model probability	26.8 parsecs away Travel
\|		I've posted a new manuscript titled " Uncertainty of prior and posterior model probability: Implications for interpreting Bayes factors ." H...	26.8 parsecs away Travel