Results 51 to 60 of about 1,046 (132)

A Robust Solution to Variational Importance Sampling of Minimum Variance

Entropy, 2020
Importance sampling is a Monte Carlo method where samples are obtained from an alternative proposal distribution. This can be used to focus the sampling process in the relevant parts of space, thus reducing the variance. Selecting the proposal that leads
Jerónimo Hernández-González, Jesús Cerquides   +1 more
doaj   +1 more source

An interpretable multi‐task whole‐slide histopathology AI model for non‐small cell lung cancer: Cross‐cohort generalisation, spatial attention–transcriptomic integration, and molecular–immune profiling

Clinical and Translational Medicine, Volume 16, Issue 7, July 2026.
SparseAGE‐MTL analyses routine haematoxylin and eosin pathology images from multicentre non‐small cell lung cancer cohorts to generate subtype‐classification, stage‐probability and survival‐risk outputs. Task‐specific attention maps and risk scores were integrated with spatial and bulk transcriptomics, linking high‐attention regions and high‐risk cases
Renyi Lu, Anqi Lin, Aimin Jiang, Yuying Feng, Xiuhui Fang, Junyi Shen, Yifeng Bai, Shengkun Peng, Jian Zhang, Quan Cheng, Suyin Feng, Qinglin Li, Peng Luo   +12 more
wiley   +1 more source

Thermodynamic stability and geometric thermodynamics of Euler Heisenberg black hole using Rényi statistics

European Physical Journal C: Particles and Fields
In this study, we investigate the thermodynamic stability and geometric thermodynamics of the Euler–Heisenberg black hole within the Rényi entropy framework.
Bhaskar Jyoti Gogoi
doaj   +1 more source

Two Measures of Dependence

Entropy, 2019
Two families of dependence measures between random variables are introduced. They are based on the Rényi divergence of order α and the relative
Amos Lapidoth, Christoph Pfister
doaj   +1 more source

Correlation Analysis of Clinical, Imaging, and Genetic Etiologies in Pediatric Hereditary Cerebellar Atrophy: A Single‐Center Study

Molecular Genetics &Genomic Medicine, Volume 14, Issue 7, July 2026.
We identified predictors of early onset and poor prognosis in childhood cerebellar atrophy. Our findings advocate for a shift towards early, targeted diagnostic strategies based on genetic and imaging profiles. ABSTRACT Objective To investigate the associations among clinical features, neuroimaging findings, and genetic data in children with hereditary
Luyao Jin, Shuling Chen, Ying Liu, Renyi She, Wei Jiang   +4 more
wiley   +1 more source

Amplifying Inter-Message Distance: On Information Divergence Measures in Big Data

IEEE Access, 2017
Message identification (M-I) divergence is an important measure of the information distance between probability distributions, similar to Kullback-Leibler (K-L) and Renyi divergence. In fact, M-I divergence with a variable parameter can make an effect on
Rui She, Shanyun Liu, Pingyi Fan
doaj   +1 more source

Is It Easier to Count Communities Than Find Them?

Random Structures &Algorithms, Volume 68, Issue 4, July 2026.
ABSTRACT Random graph models with community structure have been studied extensively in the literature. For both the problems of detecting and recovering community structure, an interesting landscape of statistical and computational phase transitions has emerged. A natural unanswered question is: Might it be possible to infer properties of the community
Cynthia Rush, Fiona Skerman, Alexander S. Wein, Dana Yang   +3 more
wiley   +1 more source

Maximum Induced Trees and Forests of Bounded Degree in Random Graphs

Random Structures &Algorithms, Volume 68, Issue 4, July 2026.
ABSTRACT The asymptotic behavior of the maximum sizes of induced trees and forests has been studied extensively in the last few decades, though the overall picture is far from being complete. In this paper, we close several significant gaps: (1) We prove 2‐point concentration of the maximum sizes of an induced forest and an induced tree with maximum ...
Margarita Akhmejanova, Vladislav Kozhevnikov, Maksim Zhukovskii   +2 more
wiley   +1 more source

Statistical Divergence and Paths Thereof to Socioeconomic Inequality and to Renewal Processes

Entropy
This paper establishes a general framework for measuring statistical divergence. Namely, with regard to a pair of random variables that share a common range of values: quantifying the distance of the statistical distribution of one random variable from ...
Iddo Eliazar
doaj   +1 more source

Adaptive Diagnosis for Fault Tolerant Data Fusion Based on α-Rényi Divergence Strategy for Vehicle Localization. [PDF]

Entropy (Basel), 2021
Makkawi K, Ait-Tmazirte N, El Badaoui El Najjar M, Moubayed N.   +3 more
europepmc   +1 more source