particles
I have released a few months ago a Python package for particle filtering, called particles; you can find it on Github here. You may want to have a look first...continue reading.
Category: Statistics
How to use NumPy random choice
This tutorial will explain the NumPy random choice function which is sometimes called np.random.choice or numpy.random.choice. I recommend that you read the whole blog post, but if you want, you...continue reading.
Data Science Jobs Report 2019: Python Way Up, Tensorflow Growing Rapidly, R Use Double SAS
In my ongoing quest to track The Popularity of Data Science Software, I’ve just updated my analysis of the job market. To save you from reading the entire tome, I’m...continue reading.
Books for sale!
I’m clearing out some books. You can buy them! They are all good ones, it’s just that I don’t need … Morecontinue reading.
WoE Transformation for Loss Given Default Models
In the intro section of my MOB package (https://github.com/statcompute/MonotonicBinning#introduction), reasons and benefits of using WoE transformations in the context of logistic regressions with binary outcomes had been discussed. What’s more,...continue reading.
Introductory course on Bayesian data analysis for beginners with Rasmus Bååth
On 25 November 2019, BayesCamp will be hosting a one-day course called Get up and running with Bayesian data analysis, … Morecontinue reading.
Modern Data Science with R: A review
Some say data is the new oil. Others equate its worth to water. And then there are those who believe that data scientists will be (in fact, they already are)...continue reading.
biased sample!
A chance occurrence led me to this thread on R-devel about R sample function generating a bias by taking the integer part of the continuous uniform generator… And then to...continue reading.
Review of “The Harvard Business Review Guide To Business Analytics Basics For Managers”
I picked this little book up at a railway station for two reasons: as a trainer, I wanted to find … Morecontinue reading.
chance call for book reviewers
Since I have been unable to find local reviewers for my CHANCE review column of the above recent CRC Press books, namely Bayesian Cost-Effectiveness Analysis of Medical Treatments, Moreno et...continue reading.
Faster Way to Slice Dataframe by Row
When we’d like to slice a dataframe by row, we can employ the split() function or the iter() function in the iterators package. By leveraging the power of parallelism, I...continue reading.
a perfectly normally distributed sample
When I saw this title on R-bloggers, I was wondering how “more perfect” a Normal sample could be when compared with the outcome of rnorm(n). Hence went checking the original...continue reading.
Granular Weighted Binning by Generalized Boosted Model
In the post https://statcompute.wordpress.com/2019/04/27/more-general-weighted-binning, I’ve shown how to do the weighted binning with the function wqtl_bin() by the iterative partitioning. However, the outcome from wqtl_bin() sometimes can be too coarse....continue reading.
Test-driving analysis software
I recently started an exciting new project where I test-drive a wide range of software for data analysis. Mostly, these … Morecontinue reading.
NumPy random seed explained
In this tutorial, I’ll explain how to use the NumPy random seed function, which is also called np.random.seed or numpy.random.seed. The function itself is extremely easy to use. However, the...continue reading.
Why Use Weight of Evidence?
I had been asked why I spent so much effort on developing SAS macros and R functions to do monotonic binning for the WoE transformation, given the availability of other...continue reading.
Machine Learning explained for statistics folk
I’m running a one-day workshop called “From Statistics To Machine Learning” in central London on 28 October, for anyone who … Morecontinue reading.
Phased antenna array design using Hamiltonian Monte Carlo
Phased antenna arrays allow a radio or microwave beam to be steered electronically. They are of increasing practical importance. Phased array optimisation problems are non-convex with multiple local maxima and...continue reading.
More General Weighted Binning
You might be wondering what motivates me spending countless weekend hours on the MOB package. The answer is plain and simple. It is users that are driving the development work....continue reading.
Summer 2019 workshops: clinical audit stats, and a data science primer for managers
I am doing two BayesCamp workshops in central London this summer: Statistical Analysis for Clinical Audit, 21 June [bookings] Data … Morecontinue reading.
