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tutorial-arima-w-jeffrey-yau

tutorial-bayesian-inference

A collection of simple implementation of various inference methods

tutorial-dynamic-docs

Tutorial on creating dynamic documents

tutorial-eva-2019

Material for the EVA tutorial

tutorial-grid-science-2019

Julia Tutorial Materials for the Grid Science Winter School 2019

tutorial-latex-intro

A quick introduction to LaTeX

tutorial-mmf

Tutorial of Mathematical Methods for Finance 2019/20

tutorial-r-web-data

Introduction to getting data from the web with R

tutorial-shiny-spatial

Shiny tutorial: "Building a Shiny web application to visualize spatial and spatio-temporal data"

tutorial_agent_based_models

A Tutorial for Agent Based Models in Python

tutorial_viirs_part2

How to use the VIIRS satellite data for night time lights.

tutorialcausalinferenceestimators

Introduction to the mosts common estimators and computation in causal inference for epidemiologists: A tutorial

tutorials

Data Science Dojo Tutorials

tutorials-1

A repository for tutorials I have linked to my website

tutorials-10

A collection of Jupyter notebooks exploring MCMC

tutorials-11

Hands on advanced machine learning for information extraction from tweets tasks, data, and open source tools

tutorials-12

Tutorials in support of the "Visualization for Data Science" course at Utah

tutorials-13

Jupyter notebook tutorials from QuantConnect website for Python, Finance and LEAN.

tutorials-14

PyTorch tutorials.

tutorials-2

Tutorials for website Rens van de Schoot

tutorials-3

A collection of technical tutorials for the INBO (and anyone who's interested)

tutorials-4

Documents from our online tutorials.

tutorials-5

Materials for tutorials that are linked to my website

tutorials-6

Source code for tutorials

tutorials-7

AI-related tutorials. Access any of them for free ↓

tutorials-8

MDST Tutorial Series

tutorials-9

Code for some of my tutorials

tvpollet.github.io

Website

twostep

twostepweakiv is a Stata module that implements two-step weak-instrument-robust confidence sets based on Andrews (2018) and refined projection method for subvector inference based on Chaudhuri and Zivot (2011) for linear instrumental-variable (IV) models. There is an accompanying Stata Journal article (Sun, 2018) that provides an overview on these methods and includes details for using twostepweakiv in Stata.

u-herts-r-workshop

Materials for an introduction to R workshop