Name: Trent Henderson
Type: User
Company: Nous Group
Bio: Senior data scientist and statistics PhD student. Mostly coding in R, Julia, and Stan. Interested in time series, statistical modelling, and data vis
Twitter: trentlikesstats
Location: Canberra, Australia
Blog: https://hendersontrent.github.io
Trent Henderson's Projects
Data visualisation and statistical analysis for a range of ABS data related to births and fertility.
Builds a Support Vector Machine to predict regionality of postcode from resident population and proportionate internet access.
Builds statistical analysis and machine learning models on AFL data.
Builds the webtool interface for guitar amplifier software comparisons
Compares various guitar amp simulators on their quantitative characteristics.
Builds a Twitter scraper for Australian universities to analyse sentiment regarding COVID-19
R package for the calculation of a set of very basic statistical properties of time-series data.
Code and slides for my talk on basic principles of a Bayesian workflow across datasets.
Statistical model development for a paper with colleagues on the relationship between brain activity and self-report data.
catch-22: CAnonical Time-series CHaracteristics
Holds source code and slides for my presentation on the theft R package at CNS 2022
R package for calculating fast C++ coded versions of the time-series features from CompEngine
Python package for computing corrected test statistics for comparing machine learning models on correlated samples
R package for computing corrected test statistics for comparing machine learning models on correlated samples
Builds an R Shiny web application for Critical Role data.
Builds statistical data visualisation and modelling for Critical Role data
Builds maps for my D&D campaign for which I am Dungeon Master and is set in my world of Icantia
Holds slides for my Emerging Aspirations in Complex Systems talk at The University of Sydney 2022
Builds a series of Bayesian models on Australian energy sector data using Stan
Compares various time-series feature sets on a set of classification tasks.
Compares various time-series feature sets on computational performance, within-set structure, and between-set relationships.
Builds simulation tests for open-source time-series feature calculations.
Builds analysis for an upcoming paper that aims to extend the findings of our previous work at https://doi.org/10.1098/rsif.2020.0334
Fit, evaluate, and visualise generalised additive models (GAMs) in native Julia
Builds some generalised additive model (GAM) and related (polynomial basis spline) architecture from scratch in Julia.
Plotting and utility functions for the interpretation of GAMs in Julia
Colour palettes and plotting themes for Orbisant Analytics website
Builds plot styling and colour palette for The Runoff.
Builds theme and colour palette for ggplot2 based on 80s shred guitar aesthetics.
Builds statistical models to analyse Google Trends data