Results 11 to 20 of about 4,134,105 (306)

DSGE Estimation Using Generalized Empirical Likelihood and Generalized Minimum Contrast [PDF]

open access: yesEntropy
We investigate the performance of estimators of the generalized empirical likelihood and minimum contrast families in the estimation of dynamic stochastic general equilibrium models, with particular attention to the robustness properties under ...
Gilberto Boaretto   +1 more
doaj   +2 more sources

LOCAL INDEPENDENCE FEATURE SCREENING FOR NONPARAMETRIC AND SEMIPARAMETRIC MODELS BY MARGINAL EMPIRICAL LIKELIHOOD. [PDF]

open access: yesAnn Stat, 2015
We consider an independence feature screening technique for identifying explanatory variables that locally contribute to the response variable in high-dimensional regression analysis.
Jinyuan Chang, C. Tang, Yichao Wu
semanticscholar   +2 more sources

Empirical likelihood-based tests for stochastic ordering [PDF]

open access: yesBernoulli (Andover), 2013
This paper develops an empirical likelihood approach to testing for the presence of stochastic ordering among univariate distributions based on independent random samples from each distribution.
Barmi, Hammou El, McKeague, Ian W.
core   +2 more sources

Semiparametric fractional imputation using empirical likelihood in survey sampling [PDF]

open access: yesStatistical Theory and Related Fields, 2017
The empirical likelihood method is a powerful tool for incorporating moment conditions in statistical inference. We propose a novel application of the empirical likelihood for handling item non-response in survey sampling.
Sixia Chen, Jae kwang Kim
doaj   +2 more sources

A Robust Version of the Empirical Likelihood Estimator

open access: yesMathematics, 2021
In this paper, we introduce a robust version of the empirical likelihood estimator for semiparametric moment condition models. This estimator is obtained by minimizing the modified Kullback–Leibler divergence, in its dual form, using truncated ...
Amor Keziou, Aida Toma
doaj   +1 more source

Testing the Intercept of a Balanced Predictive Regression Model

open access: yesEntropy, 2022
Testing predictability is known to be an important issue for the balanced predictive regression model. Some unified testing statistics of desirable properties have been proposed, though their validity depends on a predefined assumption regarding whether ...
Qijun Wang   +3 more
doaj   +1 more source

Sampling Importance Resampling Algorithm with Nonignorable Missing Response Variable Based on Smoothed Quantile Regression

open access: yesMathematics, 2023
The presence of nonignorable missing response variables often leads to complex conditional distribution patterns that cannot be effectively captured through mean regression.
Jingxuan Guo   +7 more
doaj   +1 more source

Statistics of Robust Optimization: A Generalized Empirical Likelihood Approach [PDF]

open access: yesMathematics of Operations Research, 2016
We study statistical inference and distributionally robust solution methods for stochastic optimization problems, focusing on confidence intervals for optimal values and solutions that achieve exact coverage asymptotically.
John C. Duchi   +2 more
semanticscholar   +1 more source

A Unified Test for the AR Error Structure of an Autoregressive Model

open access: yesAxioms, 2022
A direct application of autoregressive (AR) models with independent and identically distributed (iid) errors is sometimes inadequate to fit the time series data well.
Xinyi Wei   +4 more
doaj   +1 more source

A new scope of penalized empirical likelihood with high-dimensional estimating equations [PDF]

open access: yesAnnals of Statistics, 2017
Statistical methods with empirical likelihood (EL) are appealing and effective especially in conjunction with estimating equations through which useful data information can be adaptively and flexibly incorporated.
Jinyuan Chang, C. Tang, Tong Tong Wu
semanticscholar   +1 more source

Home - About - Disclaimer - Privacy