Results 61 to 70 of about 2,303,766 (135)

Projection expectile regression for sufficient dimension reduction. [PDF]

Comput Stat Data Anal, 2023
Soale AN.
europepmc   +1 more source

Improved kth power expectile regression with nonignorable dropouts. [PDF]

J Appl Stat, 2022
Li D, Wang L.
europepmc   +1 more source

Spatio-temporal expectile regression models.

, 2019
Spatio-temporal models are becoming increasingly popular in recent regression research. However, they usually rely on the assumption of a specific parametric distribution for the response and/or homoscedastic error terms.
Kneib, T., Otto-Sobotka, F., Spiegel, Elmar, Kneib, Thomas, Spiegel, E, Otto-Sobotka, Fabian   +5 more
core   +1 more source

Copula-based expectile regression: estimation and inference

This article proposes a new approach to estimating the expectile regression function based on copulas. The main idea of this approach is to rewrite the expectile regression function in terms of a copula and marginal distributions.
Doukali, M, Oualkacha, K, Bouezmarni, T
core   +1 more source

Kernel-based expectile regression [PDF]

, 2017
Conditional expectiles are becoming an increasingly important tool in finance as well as in other areas of application such as demography when the goal is to explore the conditional distribution beyond the conditional mean.
Farooq, Muhammad
core   +1 more source

Expectile Neural Networks for Genetic Data Analysis of Complex Diseases. [PDF]

IEEE/ACM Trans Comput Biol Bioinform, 2023
Lin J, Tong X, Li C, Lu Q.
europepmc   +1 more source

Real-time changepoint detection in a nonlinear expectile model. [PDF]

Metrika, 2023
Ciuperca G, Maciak M, Pešta M.
europepmc   +1 more source

Structured additive quantile regression with applications to modelling undernutrition and obesity of children [PDF]

, 2012
Quantile regression allows to model the complete conditional distribution of a response variable - expressed by its quantiles - depending on covariates, and thereby extends classical regression models which mainly address the conditional mean of a ...
Fenske, Nora
core   +1 more source

On automatic bias reduction for extreme expectile estimation. [PDF]

Stat Comput, 2022
Girard S, Stupfler G, Usseglio-Carleve A.   +2 more
europepmc   +1 more source

A new GEE method to account for heteroscedasticity using asymmetric least-square regressions. [PDF]

J Appl Stat, 2022
Barry A, Oualkacha K, Charpentier A.
europepmc   +1 more source