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

Probability theory forms the mathematical backbone for quantifying uncertainty and random events, providing a rigorous language with which to describe both everyday phenomena and complex scientific ...

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

Abstract: In this paper, we describe a method for estimating the joint probability density from data samples by assuming that the underlying distribution can be decomposed as a mixture of product ...

Abstract: Based on Hilbert Random Secure Distribution, a novel data-hiding method for embedding secret information about the patient in a cover image MRI sample has been proposed. Least significant ...

The margins are tighter than ever. With only four teams left, usage stabilizes, game plans narrow, and betting edges become more precise.

The joint probability of two or more variables being “extreme” is relevant in Flood and Coastal Risk Management (FCRM) in various contexts, including: Assessing the likelihood of extreme peak flow ...

A poker simulator enables structured poker practice using data-driven scenarios, odds tracking and solver feedback to improve ...

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