ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1905.04022
  4. Cited By
Evaluating probabilistic forecasts of extremes using continuous ranked
  probability score distributions
v1v2v3v4 (latest)

Evaluating probabilistic forecasts of extremes using continuous ranked probability score distributions

International Journal of Forecasting (IJF), 2019
10 May 2019
Maxime Taillardat
Anne-Laure Fougères
Philippe Naveau
Raphaël de Fondeville
ArXiv (abs)PDFHTML

Papers citing "Evaluating probabilistic forecasts of extremes using continuous ranked probability score distributions"

8 / 8 papers shown
Enforcing tail calibration when training probabilistic forecast models
Enforcing tail calibration when training probabilistic forecast models
Jakob Benjamin Wessel
Maybritt Schillinger
F. Kwasniok
Sam Allen
AI4TS
235
4
0
16 Jun 2025
Improving probabilistic forecasts of extreme wind speeds by training statistical post-processing models with weighted scoring rules
Improving probabilistic forecasts of extreme wind speeds by training statistical post-processing models with weighted scoring rules
Jakob Benjamin Wessel
Christopher A. T. Ferro
Gavin R. Evans
F. Kwasniok
489
7
0
22 Jul 2024
Precipitation Downscaling with Spatiotemporal Video Diffusion
Precipitation Downscaling with Spatiotemporal Video Diffusion
Prakhar Srivastava
Ruihan Yang
Gavin Kerrigan
Gideon Dresdner
Jeremy McGibbon
Christopher S. Bretherton
Stephan Mandt
DiffM
474
17
0
11 Dec 2023
Locally tail-scale invariant scoring rules for evaluation of extreme
  value forecasts
Locally tail-scale invariant scoring rules for evaluation of extreme value forecastsInternational Journal of Forecasting (IJF), 2023
Helga Kristin Olafsdottir
Holger Rootzén
David Bolin
254
5
0
26 Jun 2023
Weighted scoringRules: Emphasising Particular Outcomes when Evaluating
  Probabilistic Forecasts
Weighted scoringRules: Emphasising Particular Outcomes when Evaluating Probabilistic ForecastsJournal of Statistical Software (JSS), 2023
S. Allen
AI4TS
146
9
0
12 May 2023
Additive Covariance Matrix Models: Modelling Regional Electricity
  Net-Demand in Great Britain
Additive Covariance Matrix Models: Modelling Regional Electricity Net-Demand in Great BritainJournal of the American Statistical Association (JASA), 2022
V. Gioia
Matteo Fasiolo
J. Browell
R. Bellio
211
7
0
14 Nov 2022
Distributional regression and its evaluation with the CRPS: Bounds and
  convergence of the minimax risk
Distributional regression and its evaluation with the CRPS: Bounds and convergence of the minimax riskInternational Journal of Forecasting (IJF), 2022
Romain Pic
Clément Dombry
Philippe Naveau
Maxime Taillardat
484
8
0
09 May 2022
Local scale invariance and robustness of proper scoring rules
Local scale invariance and robustness of proper scoring rulesStatistical Science (Statist. Sci.), 2019
David Bolin
J. Wallin
337
25
0
11 Dec 2019
1
Page 1 of 1