Fernando A. Crespo R retweetledi
Fernando A. Crespo R
31.4K posts

Fernando A. Crespo R
@fdocrespo
I'm a Mathematical and Industrial Engineering of University of Chile, and I have a Doctoral Degree in Engineering Science. I work in research and consulting.
Santiago, Chile. Katılım Haziran 2014
4.8K Takip Edilen1.1K Takipçiler
Fernando A. Crespo R retweetledi

Variational Jensen-Shannon divergence and its extensions arxiv.org/abs/2102.09728
(information radius)

English
Fernando A. Crespo R retweetledi
Fernando A. Crespo R retweetledi
Fernando A. Crespo R retweetledi

Anyone surprised by Ukraine’s recent advances has never met the Ukrainians! They’re not just fighting to survive, they are fighting to win—and they will win.
Martinn@Martinnkaaaa
#Animation #UkraineWar #UkraineRussiaWar Animacja Ukraińskich działań na przełomie lutego i marca 2026 roku na Zaporożu. Animacja wedle mojej koncepcji z użyciem WJ bez wyszczególnienia pododdziałów. No i udało mi się to nad czym ostatnio mocno pracowałem .
English
Fernando A. Crespo R retweetledi
Fernando A. Crespo R retweetledi

youtube.com/watch?v=OYz8HP…
📽🎞📺The IPN-produced short documentary “They Kept Holding Hands" depicts the heroism of the Baranek family, who risked their lives to save their fellow Jewish citizens.

YouTube
English
Fernando A. Crespo R retweetledi
Fernando A. Crespo R retweetledi
Fernando A. Crespo R retweetledi

Stanisław Obiorek was a Polish pilot who fought against the 1939 German invasion of Poland. He later evacuated to the UK and joined the Allied air forces.
#OTD in 1942, the bomber he commanded was shot down over the North Sea, killing him and his entire crew.

English
Fernando A. Crespo R retweetledi
Fernando A. Crespo R retweetledi
Fernando A. Crespo R retweetledi
Fernando A. Crespo R retweetledi
Fernando A. Crespo R retweetledi
Fernando A. Crespo R retweetledi

Maxwell–Boltzmann statistics is a classical statistical method in physics that describes how particles are distributed over various energy states within a system at thermal equilibrium. It is primarily applied to ideal gases where quantum effects are negligible, such as at high temperatures or low densities. This framework leads to the Maxwell–Boltzmann distribution, which explains the spread of particle speeds in a gas, linking microscopic motion to macroscopic properties like temperature and pressure, and forming the foundation of the kinetic theory of gases.

English
Fernando A. Crespo R retweetledi
Fernando A. Crespo R retweetledi

Rabi N. Bhattacharya is a highly influential probabilist and statistician known for his deep work on asymptotic theory, limit theorems, and nonparametric statistics. He made foundational contributions to the theory of U-statistics, Edgeworth expansions, and the geometry of statistical models, providing precise approximations for distributions of estimators beyond the central limit theorem. These ideas are crucial in modern machine learning, where understanding finite-sample behavior, uncertainty, and error bars is as important as point predictions. Bhattacharya also worked on statistical inference on manifolds and shape spaces, which now appears in computer vision, representation learning, and geometric deep learning. In deep learning and large-scale models, his asymptotic tools help analyze how estimators behave as data and model sizes grow, guiding confidence estimation, calibration, and robustness. Through these connections, Bhattacharya’s mathematical theory forms a hidden backbone behind reliable learning, inference, and uncertainty quantification in modern AI systems.

English
Fernando A. Crespo R retweetledi
Fernando A. Crespo R retweetledi























