Repository to store teaching materials (exercises, course notes), and advertising materials for the 'Introduction to Bayesian Modelling for Ecologists and Environmental Scientists' summer school

Supplementary material and reproducible research files for article “A joint Bayesian framework for missing data and measurement error using integrated nested Laplace approximations” by Emma Skarstein, Sara Martino and Stefanie Muff.

INLA output to tibble and ggplot

Agreement and forecasting for Craigslist neighborhood rent estimates

Workshop : Introduction to INLA

Models of the expansion of the black death and cholera outbreaks

This repository contains code to perform the wildlife density modelling approach outlined in Houldcroft et al. (2024).

Predicting insecticide use across Canada

Code in support of 'Bioclimatic context of species’ populations determines community stability' by Evans et al

Spatial Regression of Dementia Incidence in Australia

In this work, we stratify malaria cases across Malawi to sub-district level, quantify spatio-temporal patterns and examined the effects of climate, environment, and malaria intervention.

This repository is out of date. See instead: https://github.com/paigejo/ELK

Identify highly variables genes in scRNA-seq data using Bayesian inference.

Elevational variation in tropical trees analysis

A Shiny App for Spatial Modeling. It allows the users to perform geostatistical models, LGCP models, preferential models and joint models with mixture independent-dependent samplings (which we will refer as mixture models). This is done under the Bayesian paradigm and by means of the INLA approach.

This repository contains example code to estimate spatially smoothed small area estimates of firearm suicide mortality rates across counties in the contiguous United States.

Spatial Regression of Epilepsy Admissions in Australia

Streamlined Model-based Geostatistics Functions for the SEEG Research Group

Approximate inference of latent non-Gaussian models

Applied Spatial Data Analysis in geoscience