no code implementations • 10 Aug 2023 • David T. Frazier, Ryan Covey, Gael M. Martin, Donald Poskitt
In addition, we demonstrate that the low power of such predictive accuracy tests in the forecast combination setting can be completely avoided if more efficient estimation strategies are used in the production of the combinations, when feasible.
no code implementations • 3 Mar 2023 • Yuru Sun, Worapree Maneesoonthorn, Ruben Loaiza-Maya, Gael M. Martin
This paper explores the implications of producing forecast distributions that are optimized according to scoring rules that are relevant to financial risk management.
no code implementations • 7 Dec 2022 • Gael M. Martin, David T. Frazier, Worapree Maneesoonthorn, Ruben Loaiza-Maya, Florian Huber, Gary Koop, John Maheu, Didier Nibbering, Anastasios Panagiotelis
The Bayesian statistical paradigm provides a principled and coherent approach to probabilistic forecasting.