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Characterizing M-estimators

Characterizing M-estimators

17 August 2022
Timo Dimitriadis
Tobias Fissler
J. Ziegel
ArXivPDFHTML

Papers citing "Characterizing M-estimators"

6 / 6 papers shown
Title
Elicitability and identifiability of tail risk measures
Elicitability and identifiability of tail risk measures
Tobias Fissler
Fangda Liu
Ruodu Wang
Linxiao Wei
23
2
0
22 Apr 2024
Modile as a conservative tail risk measurer: the solution of an
  optimisation problem with 0-1 loss function
Modile as a conservative tail risk measurer: the solution of an optimisation problem with 0-1 loss function
Keming Yu
R. Jiang
C. Ng
15
0
0
21 Jun 2023
Deep Huber quantile regression networks
Deep Huber quantile regression networks
Hristos Tyralis
Georgia Papacharalampous
N. Dogulu
Kwok-Pan Chun
UQCV
36
1
0
17 Jun 2023
Existence and uniqueness of weighted generalized $ψ$-estimators
Existence and uniqueness of weighted generalized ψψψ-estimators
M. Barczy
Zsolt Páles
16
1
0
11 Nov 2022
Conditionally Elicitable Dynamic Risk Measures for Deep Reinforcement
  Learning
Conditionally Elicitable Dynamic Risk Measures for Deep Reinforcement Learning
Anthony Coache
S. Jaimungal
Á. Cartea
28
13
0
29 Jun 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
13
9
0
12 Apr 2022
1