Incorporating relative error criterion to conformal prediction for positive data

Cites Work

Unnamed Item
Unnamed Item
Predictive inference with the jackknife+
Distribution-Free Predictive Inference For Regression
Local partial-likelihood estimation for lifetime data
Relative-error prediction in nonparametric functional statistics: theory and practice
General relative error criterion and M-estimation
Empirical likelihood for least absolute relative error regression
Least product relative error estimation
Regularized estimation for the least absolute relative error models with a diverging number of covariates
Estimation and empirical likelihood for single-index multiplicative models
A relative error estimation approach for multiplicative single index model
Estimation and hypothesis test for partial linear multiplicative models
A rank test for the number of factors with high-frequency data
Conformal prediction bands for multivariate functional data
Local least product relative error estimation for single-index varying-coefficient multiplicative model with positive responses
Cross-conformal predictors
Empirical likelihood and general relative error criterion with divergent dimension
Distribution-Free Prediction Sets
Deep Neural Networks for Estimation and Inference
LPRE criterion based estimating equation approaches for the error-in-covariables multiplicative regression models
Testing the Predictability of U.S. Housing Price Index Returns Based on an IVX-AR Model
Least Absolute Relative Error Estimation
Distribution-free Prediction Bands for Non-parametric Regression
A Bayesian Kriged Kalman Model for Short-Term Forecasting of Air Pollution Levels
Localized conformal prediction: a generalized inference framework for conformal prediction
Relative error prediction in nonparametric deconvolution regression model

This page was built for publication: Incorporating relative error criterion to conformal prediction for positive data