josuema Goto Github PK

10econometrictheorems

Guide to fundamental econometric theorems listed by J. Wooldridge

2021-leicester-seminar

Code for a seminar talk at University of Leicester, UK

2021fluxcompmodellingworkshop

scripts for the computational modelling workshop at FLUX 2021

adswr

"Agile Machine Learning with R - A workflow" is an opinionated take on how to do a machine learning project in R

ahp

Analytical Hierarchy Process (AHP) with R

analytics_hr_attrition

Exploratory Data Analysis, and predictions using machine learning techniques

annotated_latex_equations

Examples of how to create colorful, annotated equations in Latex using Tikz.

aprendizaje-maquina-mcd

Notas y material para el curso de aprendizaje de máquina (ITAM)

aps2017-workshop

"Computational Modeling of Decision-Making Tasks With a Single Line of Coding: Modeling Can Be as Easy as Doing a T-Test"

art-forum-2017-stan-tutorial

Materials from tutorial "Using Stan to Estimate Hierarchical Bayes Models," ART Forum 2017

awesome-ggplot2

A curated list of awesome ggplot2 tutorials, packages etc.

awesome-interactive-journalism

A list of awesome interactive journalism projects.

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome-math

A curated list of awesome mathematics resources

awesome-productivity

A curated list of delightful productivity resources.

awesome-public-datasets

An awesome list of high-quality open datasets in public domains (on-going). By everyone, for everyone!

awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

badscience-solutions

bayes

Code accompanying my ICPSR summer program course on Applied Bayesian Modeling.

bayes-concept

Research report providing the technical details of a Bayesian framework for diagnostic assessments

bayes-factor-design-analysis-app

A Shiny App for Bayes Factor Design Analysis

bayes-vis-paper

Paper: "Visualization in Bayesian workflow"

bayescog_wien

teaching materials univie

bayesian-causal-inference

Tutorials on Stan for Bayesian causal inference

bayesian-cognitive-modeling-in-pymc3

PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course

bayesian-evidence-iscop-2021

bayesian-intro

Introduction to Bayesian statistics

bayesian-synthetic-control

bayesian-template

This repo is a set of templates that will guide you through a Bayesian analysis in R, even if you have never done Bayesian analysis before. The research paper that accompanies these templates is forthcoming at CHI 2019: "Some Prior(s) Experience Necessary: Templates for Getting Started in Bayesian Analysis."

bayesian2afc

Vincent, B. T. (2015) A tutorial on Bayesian models of Perception, Journal of Mathematical Psychology.