Results 91 to 100 of about 2,303,766 (135)

Difference based Ridge and Liu type Estimators in Semiparametric Regression Models [PDF]

We consider a difference based ridge regression estimator and a Liu type estimator of the regression parameters in the partial linear semiparametric regression model, y = Xβ + f + ε.
Wolfgang Karl Härdle, Maria Osipenko, Esra Akdeniz Duran   +2 more
core  

Nonparametric Inference of Conditional Expectile Functions in Large-Scale Time Series Data With Improved Efficiency. [PDF]

J Time Ser Anal
Zhang F, Zhong PS.
europepmc   +1 more source

An opponent striatal circuit for distributional reinforcement learning. [PDF]

Nature
Lowet AS, Zheng Q, Meng M, Matias S, Drugowitsch J, Uchida N.   +5 more
europepmc   +1 more source

A Continuous Threshold Expectile Model. [PDF]

Comput Stat Data Anal, 2017
Zhang F, Li Q.
europepmc   +1 more source

Task-induced neural covariability as a signature of approximate Bayesian learning and inference. [PDF]

PLoS Comput Biol, 2022
Lange RD, Haefner RM.
europepmc   +1 more source

Modeling the impact of climate variables on agriculture through the F-transform. [PDF]

Sci Rep
Amicizia B, Ballestra LV, Guerra ML, Sorini L, Stefanini L.   +4 more
europepmc   +1 more source

Expectile regression averaging method for probabilistic forecasting of electricity prices

In this paper we propose a new method for probabilistic forecasting of electricity prices. It is based on averaging point forecasts from different models combined with expectile regression.
Janczura, Joanna
core  

Deterministic dynamics of distributional multi-agent reinforcement learning. [PDF]

PLoS Comput Biol
Bergerot C, Romanczuk P, Barfuss W.
europepmc   +1 more source

Treatment effects beyond the mean using distributional regression: Methods and guidance. [PDF]

PLoS One, 2020
Hohberg M, Pütz P, Kneib T.
europepmc   +1 more source

Functional quantile principal component analysis. [PDF]

Biostatistics
Méndez-Civieta Á, Wei Y, Diaz KM, Goldsmith J.   +3 more
europepmc   +1 more source