This study examined the relationship between the Monetary Policy Rate (MPR) and inflation across five continents from 2014 to 2023 using both Frequentist and Bayesian Linear Mixed Models (LMM). It ...

A research team introduces a hierarchical Bayesian spatial approach that integrates UAV and terrestrial LiDAR data to estimate AGB of individual trees in natural secondary forests of northeastern ...

This research evaluates the effect of monetary policy rate and exchange rate on inflation across continents using both Frequentist and Bayesian Generalized Additive Mixed Models (GAMMs). Extending an ...

The semifinals of the new-look U.S. Open mixed doubles championship are set, with the title being decided tomorrow. The teams of Iga Świątek/Casper Ruud and Sara Errani/Andrea Vavassori advanced in ...

Abstract: Traditional approaches to subjective image quality assessment often rely on Mean Opinion Scores (MOS), which overlook individual differences among observers. This study addresses this ...

Our recently developed fully robust Bayesian semiparametric mixed-effect model for high-dimensional longitudinal studies with heterogeneous observations can be implemented through this package. This ...

Evaluating the impact of program activities on outcomes occasionally involves complex data structures – such as units nested within clusters, and observed longitudinally – and the corresponding ...

Psychological and behavioural data that typically result from cognitive processes are often exhibiting characteristics that are not well captured by traditional statistical models. This issue has been ...

Abstract: Dynamic parameterization of the statistical characteristics of structural systems’ measured input and output data is an important task for the digital twin modeling and intelligent risk ...