Machine learning applications in hierarchical time series forecasting: Investigating the impact of promotions

R: A Language and Environment for Statistical Computing

R Core Team · 2000 · 353K citations · Full text

Natural Sciences, Computer Science, Statistical Computing +10

Regression Shrinkage and Selection Via the Lasso

Robert Tibshirani · Journal of the Royal Statistical Society Series B (Statistical Methodology) · 1996 · 51.8K citations

Business, Biostatistics, Computer Science +17

XGBoost: A Scalable Tree Boosting System

arXiv (Cornell University) · 2016 · 7.1K citations · Full text

Computing, Computer Science, Data Science +16

A note on the validity of cross-validation for evaluating autoregressive time series prediction

Christoph Bergmeir, Rob J. Hyndman, Bonsoo Koo · Computational Statistics & Data Analysis · 2017 · 622 citations

Computing, Data Science, Forecasting +11

Optimal combination forecasts for hierarchical time series

Rob J. Hyndman, Roman A. Ahmed, George Athanasopoulos et al. · Computational Statistics & Data Analysis · 2011 · 438 citations

Business, Tourism Management, Demand Forecasting +16