Random analytic functions are a fundamental object of study in modern complex analysis and probability theory. These functions, often defined through power series with random coefficients, exhibit ...

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 ...

The answer lies in a simple but powerful mathematical idea called “the house edge”: a small, systematic statistical advantage ...

Learning how a physical system behaves usually means repeating measurements and using statistics to uncover patterns. That ...

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...

Vox journalists forecast what 2026 could bring — from AI and climate to politics, health, and the economy — based on trends ...

The authors apply a Heckman selection model to the 2003 Investment Climate Survey (ICS) to investigate supply-side ...

My graduate studies included learning about constraint-based optimization algorithms (such as linear programming) and ...

Only two men can tell us if Elon Musk and Trump are truly, as of December 2025, “friends.” But the formal definition I used ...

Reinforcement Learning, Explainable AI, Computational Psychiatry, Antidepressant Dose Optimization, Major Depressive Disorder, Treatment Personalization, Clinical Decision Support Share and Cite: de ...

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 ...