In the realm of time series data analysis, information criteria constructed on the basis of
likelihood functions serve as crucial instruments for determining the appropriate lag order …

Large amount of data are today available, that are easier and faster to collect than survey
data, bringing new challenges. One of them is the nonprobability nature of these big data …

High-frequency, multivariate data collected in real-time and used to control or make
decisions regarding a process' operation often contain some noise and outliers. Thus, a …

This article introduces the R package ELCIC (https://cran. r-project. org/web/packages/
ELCIC/index. html), which provides an empirical likelihood-based information criterion …

Regression models play a pivotal role in real-life applications by enabling the analysis and
prediction of continuous outcomes. Among these, the k-Nearest Neighbours (KNN) model …

This article investigates detecting the presence of significant predictors in marginal quantile
regression. The main idea comes from the connection between the quantile correlation and …