Rob J Hyndman robjhyndman.com

Multivariate reconciliation for hierarchical time series

robjhyndman.com·5d

Ensemble forecasts of COVID-19 activity to support Australia’s pandemic response: 2020-22

robjhyndman.com·5w

Podcasts

robjhyndman.com·5w

Why traditional statistics still matters in the age of AI

robjhyndman.com·5w

Developing good research habits

robjhyndman.com·7w

Anomaly detection using surprisals

robjhyndman.com·10w

When lookout sees crackle: Anomaly detection via kernel density estimation

robjhyndman.com·16w

Rolling scaled forecast accuracy

robjhyndman.com·17w

forecast package v9

robjhyndman.com·18w

ggtime: A Grammar of Temporal Graphics

robjhyndman.com·29w

Anomaly detection using surprisals

robjhyndman.com·29w

ATAR allocation and participation rates

robjhyndman.com·34w

Forecasting the age structure of the scientific workforce in Australia

robjhyndman.com·35w

WAPE: Weighted Absolute Percentage Error

robjhyndman.com·41w

Efficient reproducible workflows with R

robjhyndman.com·46w

Forecasting the age structure of the scientific workforce in Australia

robjhyndman.com·46w

25 years of open source forecasting software

robjhyndman.com·47w

Business Forecasting Methods

robjhyndman.com·48w

Forecasting Overview

robjhyndman.com·48w

Moving Averages

robjhyndman.com·48w

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