Results 11 to 20 of about 41,782 (195)
The Overlooked Potential of Generalized Linear Models in Astronomy-III: Bayesian Negative Binomial Regression and Globular Cluster Populations [PDF]
In this paper, the third in a series illustrating the power of generalized linear models (GLMs) for the astronomical community, we elucidate the potential of the class of GLMs which handles count data.
Buelens, B. +7 more
core +2 more sources
Generalized Functional Additive Mixed Models
We propose a comprehensive framework for additive regression models for non-Gaussian functional responses, allowing for multiple (partially) nested or crossed functional random effects with flexible correlation structures for, e.g., spatial, temporal, or
Gertheiss, Jan +2 more
core +1 more source
Magnetic Unclonable Functions Leveraging Remanence and Anhysteretic States
A micrometric array of magnetic pillars provides a stable and unclonable hardware for generating cryptographic keys. From a single device, the ability is demonstrated to produce a 470‐bit key while also offering a reconfigurable mode of operation.
Alessandro Magni +6 more
wiley +1 more source
CellPhenoX is an explainable machine learning framework that identifies cell‐specific phenotypes and interaction effects from single‐cell omics data. By leveraging interpretable models, it enables robust discovery of cell‐level phenotypes that contribute to clinical outcomes.
Jade Young +4 more
wiley +1 more source
Lucas' theorem: its generalizations, extensions and applications (1878--2014) [PDF]
In 1878 \'E. Lucas proved a remarkable result which provides a simple way to compute the binomial coefficient ${n\choose m}$ modulo a prime $p$ in terms of the binomial coefficients of the base-$p$ digits of $n$ and $m$: {\it If $p$ is a prime, $n=n_0 ...
Meštrović, Romeo
core
A high resolution integrated cell atlas of the pig intestine provides insights into the genetic mechanisms of complex traits (Created in BioRender. Yu, P. (2025) https://BioRender.com/o14c563) Abstract The porcine intestinal tract is vital for nutrient absorption, immune regulation, and various physiological processes.
Pengfei Yu +14 more
wiley +1 more source
This article offers a comprehensive review of topic modeling techniques, tracing their evolution from inception to recent developments. It explores methods such as latent Dirichlet allocation, latent semantic analysis, non‐negative matrix factorization, probabilistic latent semantic analysis, Top2Vec, and BERTopic, highlighting their strengths ...
Pratima Kumari +6 more
wiley +1 more source
Restricted Tweedie stochastic block models
Abstract The stochastic block model (SBM) is a widely used framework for community detection in networks, where the network structure is typically represented by an adjacency matrix. However, conventional SBMs are not directly applicable to an adjacency matrix that consists of nonnegative zero‐inflated continuous edge weights.
Jie Jian, Mu Zhu, Peijun Sang
wiley +1 more source
ABSTRACT Introduction The current study used ecological momentary assessment (EMA) to examine whether body mass index (BMI) and weight suppression (highest minus current weight) predicted momentary body dissatisfaction and disordered eating urges, including dietary restriction, excessive exercise, binge eating, and unhealthy eating, and whether trait ...
An Dang +3 more
wiley +1 more source
A scale-invariant probabilistic model based on Leibniz-like pyramids
We introduce a family of probabilistic {\it scale-invariant} Leibniz-like pyramids and $(d+1)$-dimensional hyperpyramids ($d=1,2,3,...$), characterized by a parameter $\nu>0$, whose value determines the degree of correlation between $N$ $(d+1)$-valued ...
Rodríguez, Antonio +1 more
core +1 more source

