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Valid sequential inference on probability forecast performance
v1v2v3 (latest)

Valid sequential inference on probability forecast performance

15 March 2021
A. Henzi
J. Ziegel
ArXiv (abs)PDFHTML

Papers citing "Valid sequential inference on probability forecast performance"

17 / 17 papers shown
Title
Proper scoring rules for estimation and forecast evaluation
Proper scoring rules for estimation and forecast evaluation
Kartik Waghmare
Johanna Ziegel
AI4TS
247
2
0
02 Apr 2025
Growth-Optimal E-Variables and an extension to the multivariate
  Csiszár-Sanov-Chernoff Theorem
Growth-Optimal E-Variables and an extension to the multivariate Csiszár-Sanov-Chernoff Theorem
Peter Grunwald
Yunda Hao
Akshay Balsubramani
83
0
0
23 Dec 2024
Robust Reproducible Network Exploration
Robust Reproducible Network Exploration
Masaki Toyoda
Yoshimasa Uematsu
55
0
0
27 May 2024
Isotonic conditional laws
Isotonic conditional laws
Sebastian Arnold
J. Ziegel
33
2
0
18 Jul 2023
E-values for k-Sample Tests With Exponential Families
E-values for k-Sample Tests With Exponential Families
Yunda Hao
Peter Grünwald
Tyron Lardy
Long Long
Reuben Adams
60
4
0
01 Mar 2023
Testing mean and variance by e-processes
Testing mean and variance by e-processes
Yixuan Fan
Zhanyi Jiao
Ruodu Wang
63
3
0
29 Jan 2023
The E-Posterior
The E-Posterior
Peter D. Grünwald
UQCV
112
18
0
03 Jan 2023
Game-theoretic statistics and safe anytime-valid inference
Game-theoretic statistics and safe anytime-valid inference
Aaditya Ramdas
Peter Grünwald
V. Vovk
Glenn Shafer
114
130
0
04 Oct 2022
E-Statistics, Group Invariance and Anytime Valid Testing
E-Statistics, Group Invariance and Anytime Valid Testing
M. F. Pérez-Ortiz
Tyron Lardy
R. D. Heide
Peter Grünwald
77
22
0
16 Aug 2022
Anytime-valid sequential testing for elicitable functionals via
  supermartingales
Anytime-valid sequential testing for elicitable functionals via supermartingales
P. Casgrain
Martin Larsson
J. Ziegel
68
9
0
12 Apr 2022
Model Comparison and Calibration Assessment: User Guide for Consistent
  Scoring Functions in Machine Learning and Actuarial Practice
Model Comparison and Calibration Assessment: User Guide for Consistent Scoring Functions in Machine Learning and Actuarial Practice
Tobias Fissler
Christian Lorentzen
Michael Mayer
44
8
0
25 Feb 2022
Comparing Sequential Forecasters
Comparing Sequential Forecasters
Yo Joong Choe
Aaditya Ramdas
AI4TS
132
12
0
30 Sep 2021
Generic E-Variables for Exact Sequential k-Sample Tests that allow for
  Optional Stopping
Generic E-Variables for Exact Sequential k-Sample Tests that allow for Optional Stopping
Rosanne Turner
A. Ly
Peter Grünwald
74
14
0
04 Jun 2021
Stochastic Online Convex Optimization. Application to probabilistic time
  series forecasting
Stochastic Online Convex Optimization. Application to probabilistic time series forecasting
Olivier Wintenberger
AI4TS
98
8
0
01 Feb 2021
The Anytime-Valid Logrank Test: Error Control Under Continuous
  Monitoring with Unlimited Horizon
The Anytime-Valid Logrank Test: Error Control Under Continuous Monitoring with Unlimited Horizon
Judith ter Schure
M. F. Pérez-Ortiz
Alexander Ly
Peter D. Grünwald
48
3
0
13 Nov 2020
Merging sequential e-values via martingales
Merging sequential e-values via martingales
V. Vovk
Ruodu Wang
MoMe
62
8
0
13 Jul 2020
Safe Testing
Safe Testing
Peter Grünwald
R. D. Heide
Wouter M. Koolen
101
212
0
18 Jun 2019
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