Slides for a forecasting course based on "Forecasting: Principles and Practice"
☆172Nov 8, 2024Updated last year
Alternatives and similar repositories for ETC3550Slides
Users that are interested in ETC3550Slides are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- All data sets required for the examples and exercises in the book "Forecasting: principles and practice" (3rd ed, 2020) by Rob J Hyndman …☆156Feb 14, 2026Updated last month
- ☆10Jan 16, 2024Updated 2 years ago
- R scripts used in fpp3 book☆18Nov 20, 2021Updated 4 years ago
- Supplementary material for Hands-On Machine Learning with R, an applied book covering the fundamentals of machine learning with R.☆236Jun 23, 2022Updated 3 years ago
- Slides to accompany Forecasting: Principles and Practice, 3rd edition☆80Mar 20, 2024Updated 2 years ago
- Reproducible Bayesian data analysis pipelines with targets and JAGS☆11Dec 3, 2024Updated last year
- Materials for the MOSAIC "Teaching Statistics with R and RStudio"☆23Jun 22, 2018Updated 7 years ago
- Course materials for BANA 7052 (Applied Linear Regression) at UC☆15Oct 11, 2020Updated 5 years ago
- Causal-inference oriented doctoral econometrics course at UO☆14Jun 9, 2022Updated 3 years ago
- R Code + R Notebook on how to process and visualize the official IMDb datasets.☆12Jul 16, 2018Updated 7 years ago
- https://twitter.com/christinezhang/status/1015204671265308673☆12Jul 6, 2018Updated 7 years ago
- Talk to honours students on developing good research habits☆17Mar 27, 2025Updated 11 months ago
- My notes on Bayesian statistics in Stan, etc (2018-)☆14Nov 14, 2020Updated 5 years ago
- Data Package Containing Information About Elevators in NYC☆13Dec 2, 2022Updated 3 years ago
- Fit stochastic differential equation models with time-varying parameters☆15Jan 21, 2026Updated 2 months ago
- https://otexts.com/fpp3/☆18Apr 13, 2021Updated 4 years ago
- ☆16Jun 24, 2023Updated 2 years ago
- Here we host the lecture notes and problem sets for the "Projektkurs Data Science & Business Analytics" at Ulm University☆18Nov 6, 2020Updated 5 years ago
- Introduction to Econometrics at the University of Oregon (EC421) during Winter quarter, 2022. Taught by Ed Rubin.☆13Mar 5, 2022Updated 4 years ago
- Tools for building new GAM models in mgcv☆16Jun 11, 2025Updated 9 months ago
- Short course on parametric survival analysis☆15Nov 22, 2024Updated last year
- R interface to Google re2 (C++) regular expression engine☆29Jan 19, 2025Updated last year
- Materials for intro to Bayesian models☆16Jun 25, 2024Updated last year
- Forecasting Functions for Time Series and Linear Models☆1,162Mar 18, 2026Updated last week
- Plot spatial objects on a sphere☆10Oct 27, 2022Updated 3 years ago
- ☆14May 30, 2023Updated 2 years ago
- Friday Forecasting Talks materials☆11May 24, 2024Updated last year
- Taking Uncertainty Seriously: Bayesian Marginal Structural Models for Causal Inference in Political Science☆21Sep 15, 2022Updated 3 years ago
- Material for the Pearson × O’Reilly Live Training Session "Hands-On Data Visualization with ggplot2: Concepts"☆11Aug 29, 2023Updated 2 years ago
- A series of tutorials for multilevel modeling in R!☆16May 9, 2019Updated 6 years ago
- Forecasting Book Club☆19Mar 24, 2021Updated 5 years ago
- ☆41Oct 10, 2018Updated 7 years ago
- A 6 hour course on Stan with Dan Simpson, Vianey Leos-Barajas, and Andrew MacDonald☆19Jun 21, 2020Updated 5 years ago
- Slides for rstudio::conf 2019☆37Jan 18, 2019Updated 7 years ago
- R geometry package☆18Feb 8, 2025Updated last year
- Materials for leading tutorials on text mining using tidy data principles☆20Dec 30, 2022Updated 3 years ago
- Utility provides a more meaningful measure of forecast skill than goodness-of-fit☆18Apr 26, 2022Updated 3 years ago
- A constellation of packages for document creation in R☆14Oct 9, 2019Updated 6 years ago
- An R package to help assess the sensitivity of a Bayesian model (fitted with Stan) to the specification of its likelihood and priors☆11Apr 8, 2025Updated 11 months ago