There are many ways to deal with time-data. Sometimes one can use it as time-series to take possible trends into account. Sometimes this is not… Read More »How to make time-data cyclical for prediction?
For decision making, human perception tends to arrange probabilities into above 50% and below – which is plausible. For most probabilistic models in contrast, this… Read More »Setting the Cutoff Criterion for Probabilistic Models
Bayesian inference is the re-allocation of credibilities over possibilities [Krutschke 2015]. This means that a bayesian statistician has an “a priori” opinion regarding the probabilities… Read More »Naive Bayes Classifier using Kernel Density Estimation (with example)
This post is the third one of a series regarding loops in R an Python. The first one was Different kinds of loops in R.… Read More »Which one is faster in multiprocessing, R or Python?
The positive reactions on my last post: “Different kinds of loops in R” lead me to compare some different versions of loops in R, RCPP… Read More »Loop-Runtime Comparison R, RCPP, Python