Bayesian inference is a statistical method of inductive reasoning based on the reassessment of competing hypotheses in the presence of new evidence. Conceptually similar to the scientific method ...

This article explores the potential of large language models (LLMs) in reliability systems engineering, highlighting their ...

Neuronal responses in cortical area MT to two speeds show a robust bias toward the faster speed when stimulus speeds are slow, which could benefit figure-ground segregation in natural scenes.

The main objective of this paper is to develop a criterion for model selection when there is minimal prior information. In particular, we will derive an expression for posterior odds to compare models ...

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 ...

This important study reports three experiments examining how the subjective experience of task regularities influences perceptual decision-making. Although the evidence linking subjective ratings to ...

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...

James Chen, CMT is an expert trader, investment adviser, and global market strategist. Gordon Scott has been an active investor and technical analyst or 20+ years. He is a Chartered Market Technician ...