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A general framework for multi-step ahead adaptive conformal
  heteroscedastic time series forecasting

A general framework for multi-step ahead adaptive conformal heteroscedastic time series forecasting

28 July 2022
Martim Sousa
Ana Maria Tomé
José Manuel Moreira
    AI4TS
ArXivPDFHTML

Papers citing "A general framework for multi-step ahead adaptive conformal heteroscedastic time series forecasting"

4 / 4 papers shown
Title
Conformal prediction for time series
Conformal prediction for time series
Chen Xu
Yao Xie
AI4TS
45
32
0
18 Oct 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
276
5,661
0
05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,138
0
06 Jun 2015
Cross-conformal predictors
Cross-conformal predictors
V. Vovk
131
198
0
03 Aug 2012
1