PinnedPublished inTowards Data ScienceThe Counter-Intuitive Nature of Probabilistic RelationshipsIf y can be estimated as a linear function of x does not imply that x can also be estimated as a linear function of yJul 21, 2023Jul 21, 2023

Published inTowards Data ScienceWhat can we learn from posterior distributions?A frequentist interpretation of Bayesian posteriorOct 10, 2022Oct 10, 2022

Published inTowards Data ScienceWhat does the h-index tell us that we could not know without it?A theoretical and empirical investigation of the additional information the h-index contains and cannot be found in the total number of…Mar 20, 20211Mar 20, 20211

Published inThe StartupWhat If Everything Was About Reward Prediction Error?A note on how our lives would look like if we could perceive joy only by our errors in predicting rewards.Dec 29, 2020Dec 29, 2020

Published inTowards Data ScienceWhy does the optimal policy exist?A proof of the existence of the optimal policy for finite MDPsJul 18, 20204Jul 18, 20204

Published inTowards Data ScienceLady tasting tea: A Bayesian approachAn introduction to and a comparison between Bayesian and frequentist methods for hypothesis testingJun 3, 20201Jun 3, 20201

Published inThe StartupIs correlation distance a metric?In the absence of a distance, “close” and “far” are meaningless. To define these notions over a set of abstract mathematical objects, we…May 10, 20201May 10, 20201

Published inTowards Data ScienceA misinterpretation of correlations“X2 and X3 both increase by an increase in X1”; if there is a deterministic relation between these variables, then such a statement…May 2, 20201May 2, 20201