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2024_ssa_scv

tidymodels tutorial for the Statistical Society of Australia (SSA) statistical computing and visualisation tutorials

aoc-2022

aoc-2023

Attempted solutions for Advent of Code 2023 <https://adventofcode.com/>

asassn-v-j003310.78-415928.6

Light curve data for ASASSN-V J003310.78+415928.6

bmcp-examples

bortle-et-al-2021

Slides for paper review of Bortle et al. (2021)

cic_carpentries_r_materials

Materials for Carpentries Workshops in R

circumference-radius-activity

Code for plotting results from circumference and radius measuring activity for Year 4/5s at Takari PS.

datasharing

The Leek group guide to data sharing

dist-lognormal

ecssc2021-abstract-stats

gao-bien-witten-2022

Paper review of Gao, Lucy L., Jacob Bien, and Daniela Witten. 2022. ‘Selective Inference for Hierarchical Clustering’. Journal of the American Statistical Association 0 (0): 1–11. https://doi.org/10.1080/01621459.2022.2116331.

gp-nonzero-meanfn

Simulation study of effect of mean function specification on GP regression.

gp-sandbox-thunderkat

Application of Gaussian process regression to a selection of light curves from ThunderKAT survey.

griffith-et-al-2021

Slides for paper review of Griffiths, Ryan-Rhys, Jiachen Jiang, Douglas J. K. Buisson, Dan R. Wilkins, Luigi C. Gallo, Adam Ingram, Alpha A. Lee, et al. 2021. “Modelling the Multiwavelength Variability of Mrk 335 Using Gaussian Processes.” The Astrophysical Journal 914 (2): 144. https://doi.org/10.3847/1538-4357/abfa9f.

hwang-et-al-2023

Slides for review of Hwang, Seung-gyu, Benjamin L’Huillier, Ryan E. Keeley, M. James Jee, and Arman Shafieloo. ‘How to Use GP: Effects of the Mean Function and Hyperparameter Selection on Gaussian Process Regression’. Journal of Cosmology and Astroparticle Physics 2023, no. 02 (February 2023): 014. https://doi.org/10.1088/1475-7516/2023/02/014.

importing-data

Tutorial on importing data into R

intro-to-rmd

ResBaz Perth 2019 elective on R Markdown

knn-caret-example

Example of using the caret package to tune a k-Nearest Neighbours classifier

li-li-shao-2021

Slides for review of Li, Zhao-Zhou, Lu Li, and Zhengyi Shao. “Robust Gaussian Process Regression Based on Iterative Trimming.” Astronomy and Computing 36 (July 1, 2021): 100483. https://doi.org/10.1016/j.ascom.2021.100483.

lmem-example

Example of fitting a linear mixed effect model

mclaughlin-mullaney-littlefair-2024

Slides for review of McLaughlin, Summer A. J., James R. Mullaney, and Stuart P. Littlefair. “Using Gaussian Processes to Detect AGN Flares.” arXiv, March 8, 2024. http://arxiv.org/abs/2403.05354.

nason-nonstationary-ts-workshop

Non-stationary time series workshop with Prof. Guy Nason

nicholson-aigrain-2022

Slides for paper review of Nicholson, Belinda A., and Suzanne Aigrain. “Quasi-Periodic Gaussian Processes for Stellar Activity: From Physical to Kernel Parameters.” Monthly Notices of the Royal Astronomical Society 515, no. 4 (August 18, 2022): 5251–66. https://doi.org/10.1093/mnras/stac2097.

omi-ceti

GP fitting to Mira (Omicron Ceti) lightcurve

osullivan-aigrain-2024

Slides for review of O’Sullivan, Niamh K., and Suzanne Aigrain. 2024. “Modelling Stochastic and Quasi-Periodic Behaviour in Stellar Time-Series: Gaussian Process Regression versus Power-Spectrum Fitting.” arXiv. http://arxiv.org/abs/2404.11662.

perth-fuel-prices

Analysis of Perth petrol price time-series

programmingassignment2

Repository for Programming Assignment 2 for R Programming on Coursera

pwr-examples

Brief primer to using the `pwr` package

python_for_r_users

UA Workshop: Python for R users