This blog post is one of a series highlighting specific images from my book Data Visualization: charts, maps and interactive … Morecontinue reading.
I am running a couple of online events through BayesCamp next month that might interest you if you want to … Morecontinue reading.
In the previous post (https://statcompute.wordpress.com/2018/09/03/playing-map-and-reduce-in-r-by-group-calculation), I’ve shown how to employ the MapReduce when calculating by-group statistics. Actually, the same Divide-n-Conquer strategy can be applicable to other use cases, one of...continue reading.
Clojure is such an interesting programming language that it can not only enhance our skill set but also change the way how we should write the program. After learning Clojure,...continue reading.
This exercise is going to be the last exercise on Basic Generalized Linear Modeling (GLM). Please click here to find the other part of the Basic GLM Exercise that you’ve...continue reading.
In the previous post (https://statcompute.wordpress.com/2018/08/26/adjacent-categories-and-continuation-ratio-logit-models-for-ordinal-outcomes), we’ve shown alternative models for ordinal outcomes in addition to commonly used Cumulative Logit models under the proportional odds assumption, which are also known as...continue reading.
In the previous post (https://statcompute.wordpress.com/2018/01/28/modeling-lgd-with-proportional-odds-model), I’ve shown how to estimate a standard Cumulative Logit model with the ordinal::clm function and its use case in credit risk models. To better a...continue reading.
The analysis of high frequency stock transactions has played an important role in the algorithmic trading and the result can be used to monitor stock movements and to develop trading...continue reading.
In this exercise, we will continue to solve problems from the last exercise about GLM here. Therefore, the exercise number will start at 9. Please make sure you read and...continue reading.
This is a short post following the previous one (PCA revisited).In this post I’m going to apply PCA to a toy problem: the classification of faces. Again I’ll be working...continue reading.