Confidence Intervals for AUC and pAUC by Empirical Likelihood
Sign Up to like & getrecommendations! Published in 2025 at "Statistics in Medicine"
DOI: 10.1002/sim.70192
Abstract: The area under the receiver operating characteristic curve (AUC) and Partial AUC (pAUC) are often used to measure the performance of medical diagnostic tests. Under nonparametric settings, we propose and illustrate in this paper a… read more here.
Keywords: empirical likelihood; confidence intervals; auc pauc; intervals auc ... See more keywords
Enhanced empirical likelihood estimation of incubation period of COVID‐19 by integrating published information
Sign Up to like & getrecommendations! Published in 2021 at "Statistics in Medicine"
DOI: 10.1002/sim.9026
Abstract: Since the outbreak of the new coronavirus disease (COVID‐19), a large number of scientific studies and data analysis reports have been published in the International Journal of Medicine and Statistics. Taking the estimation of the… read more here.
Keywords: medicine; empirical likelihood; information; incubation period ... See more keywords
An empirical likelihood method for quantile regression models with censored data
Sign Up to like & getrecommendations! Published in 2020 at "Metrika"
DOI: 10.1007/s00184-020-00775-1
Abstract: An estimation for censored quantile regression models, which is based on an inverse-censoring-probability weighting method, is studied in this paper, and asymptotic distribution of the parameter vector estimator is obtained. Based on the parameter estimation… read more here.
Keywords: quantile regression; regression models; likelihood; method ... See more keywords
Empirical likelihood method for longitudinal data generated from unequally-spaced Lèvy processes
Sign Up to like & getrecommendations! Published in 2020 at "Journal of The Korean Statistical Society"
DOI: 10.1007/s42952-019-00047-3
Abstract: By introducing the notion of “empirical likelihood function of observing sums”, unequally-spaced time series data and longitudinal data generated from Levy processes can be analyzed. Characteristic function is further incorporated to handle the situations where… read more here.
Keywords: longitudinal data; method; unequally spaced; function ... See more keywords
Empirical likelihood and variable selection for partially linear single-index EV models with missing censoring indicators
Sign Up to like & getrecommendations! Published in 2020 at "Journal of The Korean Statistical Society"
DOI: 10.1007/s42952-020-00065-6
Abstract: In this paper, we focus on the empirical likelihood inference for partially linear single-index errors-in-variables (EV) models when the data are right censored and the censoring indicator is missing at random (MAR). Two bias-corrected empirical… read more here.
Keywords: likelihood; linear single; empirical likelihood; single index ... See more keywords
An extension to empirical likelihood for evaluating probability weighted moments
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Statistical Planning and Inference"
DOI: 10.1016/j.jspi.2016.09.008
Abstract: Abstract The scientific literature has addressed widely the theoretical and applied framework based on probability weighted moments (PWMs). PWMs generalize the concept of conventional moments of a probability function. These methods are commonly applied for… read more here.
Keywords: probability weighted; probability; weighted moments; empirical likelihood ... See more keywords
Application of empirical likelihood ratio test in AR(1) time series model for PM2.5 forecasting in Guwahati city of Assam
Sign Up to like & getrecommendations! Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-24076-7
Abstract: The Autoregressive model plays a vital role in time series analysis, as it efficiently captures short-term dependencies while maintaining simplicity. Accurate identification of the order of autoregressive models is essential for enhanced model performance and… read more here.
Keywords: test; time series; empirical likelihood; model ... See more keywords
Penalized Empirical Likelihood-Based Variable Selection for Longitudinal Data Analysis
Sign Up to like & getrecommendations! Published in 2020 at "American Journal of Mathematical and Management Sciences"
DOI: 10.1080/01966324.2020.1837042
Abstract: Abstract Longitudinal data with a large number of covariates have become common in many applications such as epidemiology, clinical research, and therapeutic evaluation. The identification of a sub-model that adequately represents the data are necessary… read more here.
Keywords: longitudinal data; likelihood; empirical likelihood; variable selection ... See more keywords
Semiparametric regression using empirical likelihood with shape information
Sign Up to like & getrecommendations! Published in 2020 at "Statistics"
DOI: 10.1080/02331888.2020.1739049
Abstract: ABSTRACT The empirical likelihood is a popular tool in statistics and many other fields, including regression analysis. It has the advantage of robustness against model specification and can incorporate side information to improve the estimation… read more here.
Keywords: empirical likelihood; information; shape information; regression ... See more keywords
Testing symmetry based on empirical likelihood
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Applied Statistics"
DOI: 10.1080/02664763.2017.1421917
Abstract: ABSTRACT In this paper, we propose a general kth correlation coefficient between the density function and distribution function of a continuous variable as a measure of symmetry and asymmetry. We first propose a root-n moment-based… read more here.
Keywords: empirical likelihood; kth correlation; correlation coefficient;
Generalized empirical likelihood inference in partially linear model for longitudinal data with missing response variables and error-prone covariates
Sign Up to like & getrecommendations! Published in 2017 at "Communications in Statistics - Theory and Methods"
DOI: 10.1080/03610926.2016.1218027
Abstract: ABSTRACT In this article, we consider statistical inference for longitudinal partial linear models when the response variable is sometimes missing with missingness probability depending on the covariate that is measured with error. A generalized empirical… read more here.
Keywords: response; likelihood; likelihood inference; generalized empirical ... See more keywords