Name: Robin Aldridge-Sutton
Type: User
Bio: Trainee Biostatistician at the NSW Ministry of Health. Former teaching and research assistant, data science and statistics, Universities of Auckland and Sydney.
Location: Sydney, Australia
Robin Aldridge-Sutton's Projects
This was a project for the UoA data science club where we tried to classify x-rays according to whether they showed signs of health problems.
Some notes from chapters 1-4 of Grimmett and Stirzaker's Probability and Random Processes
Code to do MCMC for the regression coefficients of a binomial generalised linear model, with a Gaussian prior and an independent proposal based on the maximum likelihood estimates. Also nice 3d histograms of the results.
A Shiny web app for capture-recapture model fitting and study design via fast simulation and automatic differentiation in R using TMB.
Close-Kin Study Utilities
Fork of ynaveena's repo for demo for Jianlong's project.
The fast.ai course notebooks
The fastai book, published as Jupyter Notebooks
An implementation of quicksort using composite classes in Java.
The simplest, fastest repository for training/finetuning medium-sized GPTs.
Illustration of the Metropolis algorithm for sampling from a probability distribution.
Some examples of simple vs multiple regression with confounding and interaction variables.
This is an analysis of the pairwise kinships among a sample of NZ southern right whales using microsatellite genotypes, MtDNA haplotypes, and sexes.
Some notes on ROC AUC.
Example of multiple logistic regression and simple interaction model selection
Notes and code illustrating maths and examples of state-space time-series models including Kalman filters.
A small python package for spatial-temporal Gaussian process modelling of air quality data in NSW, Australia.
Example application of base R's symbolic automatic differentiation to find local optima of functions.