27 citations · 33 across the 3 of their papers we have counts for
Showing stat.MEShow all
2 papers · 1 filter
stat.ME2021★ 5 cited
Wielding Occam's razor: Fast and frugal retail forecasting
Fotios Petropoulos, Yael Grushka-Cockayne, Enno Siemsen +1
The algorithms available for retail forecasting have increased in complexity. Newer methods, such as machine learning, are inherently complex. The more traditional families of fore…
stat.ME2017★ 1 cited
Bayesian Ensembles of Binary-Event Forecasts: When Is It Appropriate to Extremize or Anti-Extremize?
Kenneth C. Lichtendahl, Yael Grushka-Cockayne, Victor Richmond R. Jose +1
Many organizations face critical decisions that rely on forecasts of binary events. In these situations, organizations often gather forecasts from multiple experts or models and av…