Model diagnostics and forecast evaluation for quantiles

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SEEK ID: https://publications.h-its.org/publications/1549

Filename: 2023ARSIA.pdf 

Format: PDF document

Size: 3.14 MB

SEEK ID: https://publications.h-its.org/publications/1549

DOI: 10.1146/annurev-statistics-032921-020240

Research Groups: Computational Statistics

Publication type: Journal

Journal: Annual Review of Statistics and Its Application

Publisher: Annual Reviews

Citation: Annual Review of Statistics and Its Application, 10:597–621

Date Published: 10th Mar 2023

URL:

Registered Mode: manually

Authors: Tilmann Gneiting, Daniel Wolffram, Johannes Resin, Kristof Kraus, Johannes Bracher, Timo Dimitriadis, Veit Hagenmeyer, Alexander I. Jordan, Sebastian Lerch, Kaleb Phipps, Melanie Schienle

Citation
Gneiting, T., Wolffram, D., Resin, J., Kraus, K., Bracher, J., Dimitriadis, T., Hagenmeyer, V., Jordan, A. I., Lerch, S., Phipps, K., & Schienle, M. (2023). Model Diagnostics and Forecast Evaluation for Quantiles. In Annual Review of Statistics and Its Application (Vol. 10, Issue 1, pp. 597–621). Annual Reviews. https://doi.org/10.1146/annurev-statistics-032921-020240
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Created: 4th Nov 2022 at 10:40

Last updated: 8th Mar 2024 at 13:52

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