Rob J Hyndman
WAPE: Weighted Absolute Percentage Error
Efficient reproducible workflows with R
Forecasting the age structure of the scientific workforce in Australia
25 years of open source forecasting software
Moving Averages
Business Forecasting Methods
Forecasting Overview
Hierarchical Time Series Forecasting in Emergency Medical Services
Developing good research habits
Towards socially responsible forecasting: Identifying and typifying forecasting harms
MSTL: A Seasonal-Trend Decomposition Algorithm for Time Series with Multiple Seasonal Patterns
Comments on: Exploratory Functional Data Analysis
Optimal forecast reconciliation with time series selection
Modern research tools and workflow
An efficient reproducible workflow
Extreme value modelling of feature residuals for anomaly detection in dynamic graphs
Functional data analysis for peak shape forecasting
Creating custom quarto templates
Online conformal inference for multi-step time series forecasting
Distortion corrected kernel density estimator on Riemannian manifolds
Improving out-of-sample forecasts of stock price indexes with forecast reconciliation and clustering
Improving forecasts via subspace projections
vital: Tidy data analysis for demography
Forecasting the future and the future of forecasting
Forecasting interrupted time series
Sparse Multiple Index Models for High-dimensional Nonparametric Forecasting
vital: Tidy data analysis for demography
Forecast Linear Augmented Projection (FLAP): A free lunch to reduce forecast error variance
Probabilistic forecasts for anomaly detection
Cross-temporal probabilistic forecast reconciliation: Methodological and practical issues
fpp3 package update
Tidy data analysis for demography using R
Statistical Forecasting
Forecasting system’s accuracy: a framework for the comparison of different structures
Editorial: Innovations in Hierarchical Forecasting
Forecast reconciliation: A review
Forecasting the future and the future of forecasting
Probabilistic Forecast Reconciliation For Emergency Services Demand
Probabilistic cross-temporal forecast reconciliation
Forecast reconciliation
AIC calculations
P-values for prediction intervals
How NASA didn’t discover the hole in the ozone layer
Forecast model selection
Forecast reconciliation: a brief overview
Videos for Forecasting: principles and practice (3rd ed)
Degrees of freedom for a Ljung-Box test
Forecasting podcasts
Forecasting workshops in New York and Chicago
Feasts and fables: Time series analysis using R
Monash Quarto Templates
We need more open data in Australia
Derivations of forecast variance for benchmark methods
Australian Academy of Science
Python implementations of time series forecasting and anomaly detection
Notation for forecast reconciliation
WOMBAT 2022
Migrating from Disqus to giscus
Time series and forecasting workshop: 9-10 November 2022
Migrating to Quarto