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Minimum scoring rule inference

Minimum scoring rule inference

16 March 2014
A. Dawid
M. Musio
L. Ventura
ArXiv (abs)PDFHTML

Papers citing "Minimum scoring rule inference"

25 / 25 papers shown
Title
Improved probabilistic regression using diffusion models
Improved probabilistic regression using diffusion models
Carlo Kneissl
Christopher Bülte
Philipp Scholl
Gitta Kutyniok
DiffM
158
0
0
06 Oct 2025
Diffusion and Flow-based Copulas: Forgetting and Remembering Dependencies
Diffusion and Flow-based Copulas: Forgetting and Remembering Dependencies
David Huk
Theodoros Damoulas
112
0
0
24 Sep 2025
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
129
2
0
16 Jun 2025
Proper scoring rules for estimation and forecast evaluation
Proper scoring rules for estimation and forecast evaluation
Kartik Waghmare
Johanna Ziegel
AI4TS
527
8
0
02 Apr 2025
Evaluating Posterior Probabilities: Decision Theory, Proper Scoring
  Rules, and Calibration
Evaluating Posterior Probabilities: Decision Theory, Proper Scoring Rules, and Calibration
Luciana Ferrer
Daniel Ramos
UQCV
145
8
0
05 Aug 2024
Proper Scoring Rules for Multivariate Probabilistic Forecasts based on
  Aggregation and Transformation
Proper Scoring Rules for Multivariate Probabilistic Forecasts based on Aggregation and Transformation
Romain Pic
Clément Dombry
Philippe Naveau
Maxime Taillardat
AI4TS
207
4
0
30 Jun 2024
Confidence Sets under Generalized Self-Concordance
Confidence Sets under Generalized Self-Concordance
Lang Liu
Zaïd Harchaoui
148
1
0
31 Dec 2022
On approximate robust confidence distributions
On approximate robust confidence distributionsEconometrics and Statistics (ES), 2022
Elena Bortolato
L. Ventura
127
3
0
19 Dec 2022
Minimum Kernel Discrepancy Estimators
Minimum Kernel Discrepancy Estimators
Chris J. Oates
209
10
0
28 Oct 2022
Probabilistic Forecasting with Generative Networks via Scoring Rule
  Minimization
Probabilistic Forecasting with Generative Networks via Scoring Rule Minimization
Lorenzo Pacchiardi
Rilwan A. Adewoyin
P. Dueben
Ritabrata Dutta
AI4TS
320
38
0
15 Dec 2021
Adaptation of the Tuning Parameter in General Bayesian Inference with
  Robust Divergence
Adaptation of the Tuning Parameter in General Bayesian Inference with Robust DivergenceStatistics and computing (Stat Comput), 2021
S. Yonekura
S. Sugasawa
336
26
0
13 Jun 2021
$β$-Cores: Robust Large-Scale Bayesian Data Summarization in the
  Presence of Outliers
βββ-Cores: Robust Large-Scale Bayesian Data Summarization in the Presence of OutliersWeb Search and Data Mining (WSDM), 2020
Dionysis Manousakas
Cecilia Mascolo
179
2
0
31 Aug 2020
Expected Information Maximization: Using the I-Projection for Mixture
  Density Estimation
Expected Information Maximization: Using the I-Projection for Mixture Density EstimationInternational Conference on Learning Representations (ICLR), 2020
P. Becker
Oleg Arenz
Gerhard Neumann
123
16
0
23 Jan 2020
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
199
20
0
11 Dec 2019
Minimum Stein Discrepancy Estimators
Minimum Stein Discrepancy EstimatorsNeural Information Processing Systems (NeurIPS), 2019
Alessandro Barp
François‐Xavier Briol
Andrew B. Duncan
Mark Girolami
Lester W. Mackey
239
96
0
19 Jun 2019
Generalized Variational Inference: Three arguments for deriving new
  Posteriors
Generalized Variational Inference: Three arguments for deriving new Posteriors
Jeremias Knoblauch
Jack Jewson
Theodoros Damoulas
DRLBDL
372
114
0
03 Apr 2019
Principles of Bayesian Inference using General Divergence Criteria
Principles of Bayesian Inference using General Divergence CriteriaEntropy (Entropy), 2018
Jack Jewson
Jim Q. Smith
Chris Holmes
162
97
0
26 Feb 2018
Objective Bayesian inference with proper scoring rules
Objective Bayesian inference with proper scoring rules
F. Giummolè
V. Mameli
E. Ruli
L. Ventura
163
39
0
29 Nov 2017
Using stacking to average Bayesian predictive distributions
Using stacking to average Bayesian predictive distributions
Yuling Yao
Aki Vehtari
Daniel P. Simpson
Andrew Gelman
444
386
0
06 Apr 2017
Generative Adversarial Nets from a Density Ratio Estimation Perspective
Generative Adversarial Nets from a Density Ratio Estimation Perspective
Masatoshi Uehara
Issei Sato
Masahiro Suzuki
Kotaro Nakayama
Y. Matsuo
GAN
258
104
0
10 Oct 2016
Rejoinder to "Bayesian Model Selection Based on Proper Scoring Rules"
Rejoinder to "Bayesian Model Selection Based on Proper Scoring Rules"
A. Dawid
M. Musio
58
0
0
11 May 2015
Comment on Article by Dawid and Musio
Comment on Article by Dawid and Musio
Matthias Katzfuss
Anirban Bhattacharya
112
1
0
11 May 2015
Of Quantiles and Expectiles: Consistent Scoring Functions, Choquet
  Representations, and Forecast Rankings
Of Quantiles and Expectiles: Consistent Scoring Functions, Choquet Representations, and Forecast Rankings
W. Ehm
T. Gneiting
Alexander I. Jordan
Fabian Kruger
AI4TS
179
175
0
27 Mar 2015
Bayesian Model Selection Based on Proper Scoring Rules
Bayesian Model Selection Based on Proper Scoring Rules
Philip Dawid
M. Musio
187
60
0
18 Sep 2014
Theory and Applications of Proper Scoring Rules
Theory and Applications of Proper Scoring Rules
A. Dawid
M. Musio
304
130
0
02 Jan 2014
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