This important manuscript presents a novel application of the SANDI (Soma and Neurite Density Imaging) model to study microstructural alterations in the basal ganglia of individuals with Huntington's ...
Abstract: Phase-elevation regression has demonstrated the ability to mitigate the impacts of vertically stratified tropospheric phase delay on interometric synthetic aperture radar (InSAR) phase ...
This repository contains a project I completed for an NTU course titled CB4247 Statistics & Computational Inference to Big Data. In this project, I applied regression and machine learning techniques ...
In this month's edition of the LCGC Blog, discover how weighted least squares regression enhances quantitation accuracy in analytical chemistry, particularly for low-concentration analytes in HPLC.
ABSTRACT: The United States (US) capitalism (C), democracy (D), rule of law (R) (CDR) economic model combines the degree of C, D and R associated with a particular state. In prior research, the CDR ...
Various codes centered around problems in Bayesian inference, Bayesian Linear Regression, and Bayesian Non-Linear Parameter Estimation using the application of various Markov Chain Monte Carlo ...
Machine learning interpretability is a critical area of research for understanding complex models’ decision-making processes. These models are often seen as “black boxes,” making it difficult to ...
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