Discover how probability distribution methods can help predict stock market returns and improve investment decisions. Learn ...

Monte Carlo simulation of 10,000 paths shows 60% of scenarios place XRP between $1.04 and $3.40 by December 2026. The median outcome is $1.88 while only 10% of scenarios exceed $5.90. Downside tail ...

Stochastic volatility is the unpredictable nature of asset price volatility over time. It's a flexible alternative to the Black Scholes' constant volatility assumption.

Pi-Labs CEO Ankush Tiwari explains how Authentify detects deepfakes at scale, defends AI models, and why India must build ...

Background The relationship of social determinants of health (SDOH), environmental exposures and medical history to lung function trajectories is underexplored. A better understanding of these ...

Large language models are routinely described in terms of their size, with figures like 7 billion or 70 billion parameters ...

Abstract: The Beckmann distribution has a wide range of applications in radio-frequency communications, free-space optical (FSO) communications, and underwater wireless optical communications (UWOC).

Abstract: Formulas, tables, and graphs are given for the probability distribution of the instantaneous resultant amplitude of the sum of a constant vector and a Rayleigh-distributed vector. It is ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

Access the comprehensive CBSE Class 11 Maths deleted syllabus for 2025-26. Find out which topics have been removed to ...

This study provides a useful application of computational modelling to examine how people with chronic pain learn under uncertainty, contributing to efforts to link pain with motivational processes.