The field of mathematical analysis often intersects with abstract concepts that can feel intimidating. One such concept is the generalized Egorov’s statement pertaining to the intriguing world of ideal convergence. Michał Korch’s recent research sheds light on this complexity, allowing… Continue Reading →
Sampling has become a cornerstone in statistical and machine learning methodologies, particularly in the realm of Markov Chain Monte Carlo (MCMC) methods. Among various approaches, Langevin MCMC has gained traction for its efficiency and applicability to complex distributions. This article… Continue Reading →
Understanding complex mathematical concepts can be daunting for many, but fear not! In this article, we will delve into the intricacies of Fatou’s Lemma and its application to weakly converging probabilities. We will explore the conditions under which Fatou’s Lemma… Continue Reading →
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