Those are my blogs

What does the prior actually do in a Bayesian analysis?

2020-12-06 bayesian prior posterior likelihood

Read More

About identifiability and granularity

2017-05-06 prior regression marketing mix modeling modeling bayesian variable selection

Motivation for this post In time series modeling you typically run into issues concerning complexity versus utility. What I mean by that is that there ... Read More

A few thoughts on apparent bimodality for regression problems!

2017-04-09 prior regression modeling bayesian

Motivation Did you ever run into a scenario when your data is showing two distinctive relationships but you’re trying to solve for it with one ... Read More

On the equivalence of Bayesian priors and Ridge regression

2017-01-18 prior regression modeling bayesian

Today I’m going to take you through the comparison of a Bayesian formalism for regression and compare it to Ridge regression which is a penalized ... Read More

The truth about priors and overfitting

2016-08-31 prior regression modeling bayesian hypothesis testing

Have you ever thought about how strong a prior is compared to observed data? It’s not an entirely easy thing to conceptualize. In order to alleviate ... Read More