Bayesian Priors for Parameter Estimation
We've already looked at Bayesian Parameter Estimation, now we'll learn how to use Prior Probabilities in our Parameter Estimation to get better results.
Read MoreParameter Estimation - The PDF, CDF and Quantile Function
Discover the fundamental of Bayesian Parameter estimation. Learn to use the Probability Density Function, Cumulative Distribution Function and Quantile Function to estimate unknown values in our data.
Read MoreExpectation and Variance from High School to Grad School
Many people find the ideas of Expectation and Variance confusing. In part this is because the way we view these concepts changes as our understanding grows in sophistication. In this post we'll look at the way these definitions change from their basic High School intro to the view of Rigorous Probability Theory.
Read More