Using Bayesian Modelling to predict Premier League football match wins. See Medium blog post.
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Updated
Apr 2, 2024 - Jupyter Notebook
Using Bayesian Modelling to predict Premier League football match wins. See Medium blog post.
bayesian | hierarchical-models
This repository contains the deception-game experiment. This game was created as a replication of the first experiment from the original study by Ransom et. al. 2019.
An R package for Bayesian semi-parametric modelling of in-vitro drug combination experiments
Bayesian Data Analysis, Model Comparison, Markov Chain Monte Carlo, JAGS
Jupyter notebooks for probabilistic modelling of vibrational spectroscopic datasets
Tutorials for the synthetic control method for causal inference using PyMC
Electoral forecasting dashboards
Does the mind have statistical models? Even if it does, are these models Bayesian? We explore these questions as a part of my Masters capstone project guided by Prof. Glenn Shafer
Supplementary material for Donatelli, A., Mastrantonio, G. & Ciucci, P. Circadian activity of small brown bear populations living in human-dominated landscapes. Sci Rep 12, 15804 (2022). https://doi.org/10.1038/s41598-022-20163-1
RMarkdown source for the "Introduction to Statistics and Data Science Using R" textbook
Some models for information retrieval in Spanish text corpus of the Cuban social network
Portfolio assignments using Bayesian modeling within cognitive science field. 2020 spring semester at Aarhus University
Bayesian models; analytical statistics; stochastic growth; zero-sightings; pest eradication success; population absence; biosecurity; probability generating functions;
This repository is a collection of publications related to probabilistic programming languages, probabilistic modelling, inference and criticism of probabilistic models.
NeuroBio 316QC: Probabilistic models for neural data: from single neurons to population dynamics
This repository includes the code for the paper "Detection of Prostate Cancer with Multi-Parametric MRI Utilizing the Anatomic Structure of the Prostate".
This repository contains the code for the paper "Improving the Performance of Robust Control through Event-Triggered Learning".
Phenocam forecasting challenge done as part of the NEFI short course in 2020 https://ecoforecast.org/nefi2022/
Learning hyperparameters in Bayesian models by matching moments of prior predictive distributions.
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