Discover how probability distribution methods can help predict stock market returns and improve investment decisions. Learn ...
(1) PROF. FRECHET'S "Généralités" represents the first volume only of a treatise which, as a whole, is to form part of the very important "Traité du calcul des probabilités"edited by Prof. Borel. The ...
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 ...
Stochastic volatility is the unpredictable nature of asset price volatility over time. It's a flexible alternative to the Black Scholes' constant volatility assumption.
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LLMs have tons of parameters, but what is a parameter?
Large language models are routinely described in terms of their size, with figures like 7 billion or 70 billion parameters ...
Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
Abstract: The Gaussian mixture model (GMM) describes the distribution of random variables from several different populations. GMMs have widespread applications in probability theory, statistics, ...
Access the comprehensive CBSE Class 11 Maths deleted syllabus for 2025-26. Find out which topics have been removed to ...
Credit Rating, Sovereign Credit Rating, Income Levels, Ordered Probit Model Share and Cite: Niyonshuti, M., Ishimwe, M., Su, ...
This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...
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