observations and are inadequate when spatial dependence exists. This article provides an overview of spatial econometric models …, highlighting the challenges posed by spatial dependence in cross-sectional data. It examines key models, including the Spatial … Autoregressive (SAR), Spatial Error (SEM), and Spatial Durbin (SDM) models, while detailing maximum likelihood estimation (MLE …

The purpose of this study is to identify the most effective supervised machine learning models for predicting the … learning techniques offer robust predictive capabilities. This research evaluates a range of supervised models, including Tree …-Based Models (Decision Trees, Bagging, Random Forests, Adaboost, Gradient Boosting Machine (GBM), Light-GBM, XGBoost, CatBoost …

Information Criterion, which incorporates a ranking of degrees of evidence of significant differences between the compared models … criteria and revealing limited relevance among the models based on independent probabilistic samples, when tested on a well …-established database. Our approach challenges the traditional hierarchical models commonly used in time series analysis, which assume …

. The coefficients of the PH and AFT exponential models have the same magnitude but have opposite signs. It follows that … there is a symmetric relation between the coefficients. In the case of exponential PH and AFT models, there is a relation of … parameters of both models. In this case also, we can talk about a symmetric relation. The exponential PH model is valid if the …

-based, physics-based, and data-driven models to propose an integrated approach that enhances prediction accuracy, aligning with … weaknesses of knowledge-based, physics-based, and data-driven models in predictive maintenance. The study assesses existing … research, compares methodologies, and identifies opportunities for integrating these models to improve PdM outcomes …

prices for monetary policy. The employed environmental monetary models have a detailed multi-sector structure. The comparison … models share large commonalities in their quantitative and qualitative results, while also pointing out cross …