Pietro Monticone's Projects
Repo for the course Statistical Methods in Infectious Disease Epidemiology at UZH
Stan website based on the So Simple Jekyll theme.
Statistical Rethinking course winter 2022
Repository for the textbook 'Improving Your Statistical Inferences' by Daniel Lakens
Course notes and resources for Stanford University graduate course PHYS366: Statistical Methods in Astrophysics
Julia version of selected functions in the R package `rethinking`. Used in the StatisticalRethinkingStan and StatisticalRethinkingTuring projects.
StatististicalRethinking using Stan and Pluto notebooks.
Pluto notebooks accompanying the book Statistics With Julia (https://statisticswithjulia.org).
Probabilistic Programming with Gaussian processes in Julia
Experimental, research package for automatic differentiation (AD) of stochastic programs.
Initial look at directed acyclic graph (DAG) based causal models in regression.
Surrogate modeling and optimization for scientific machine learning (SciML)
Public Health Surveillance
Analysis of complex surveys
Slides from my presentation at the Liberi Oltre event in Venice.
Distributed High-Performance symbolic regression in Julia
A fast and modern CAS for a fast and modern language.
Symbolic Identification of Non-linear Dynamics. The method generalizes the SINDy algorithm by combining sparse and genetic-programming-based symbolic regression.
Create synthetic populations for COVID-19 epidemic analyses.
Time transformations in Julia.
Playing with terminal utilities in Julia
The textbook Computational and Inferential Thinking: The Foundations of Data Science
Source code for Twitter's Recommendation Algorithm
Source code for Twitter's Recommendation Algorithm
A concise Julia language introductory manual for programmers.
100% Julia implementation of the R tidyverse mini-language
A website aggregating of the most important Torino-Lione references.
This repository contains the implementations related to the experiments of a set of publicly available datasets that are used in the time series forecasting research space.
Figure sizes, font sizes, fonts, and more configurations at minimal overhead. Fix your journal papers, conference proceedings, and other scientific publications.