IEEE

Hypothesis Testing, Separability, and Classification of Polarimetric SAR Intensity Data With Nonparametric U-Statistics

Abstract: Polarimetric synthetic aperture radar (PolSAR) sensors have emerged as a groundbreaking remote sensing technology. They enable the acquisition of the amplitude, phase, and orientation of ...
IEEE

Bayesian Two-Sample Hypothesis Testing Using the Uncertain Likelihood Ratio: Improving the Generalized Likelihood Ratio Test

Abstract: Two-sample hypothesis testing is a common practice in many fields of science, where the goal is to identify whether a set of observations and a set of training data are drawn from the same ...
C&EN

Seed Germination and Urban Wastewater Remediation Using Micro-Fe-Modified Montmorillonite

Center for Natural and Human Sciences (CCNH), Universidade Federal do ABC, Santo André, Avenida dos Estados 5001, São Paulo 09280-560, Brazil Laboratorio de Ecotoxicología, Facultad de Humanidades y ...
Frontiers

Dynamic Causal Modeling and Parametric Empirical Bayes in Social Neuroscience: Methods, Applications, and Insights

To address this, Parametric Empirical Bayes (PEB ... but rather reflect methodological oversights in experimental planning and data extraction. To fully leverage the potential of DCM/PEB in social ...
SciELO

Colonoscopic Findings of Patients with Rectal Bleeding: Insights from a Single Centre Study

Introduction Rectal bleeding is a common symptom prompting an urgent investigation. Colonoscopy plays a crucial role in diagnosing the underlying cause and guiding treatment. We aimed to analyze ...