Results 151 to 160 of about 76,384 (242)

Massive Spanning Forests on the Complete Graph: Exact Distribution and Local Limit

Random Structures &Algorithms, Volume 68, Issue 2, March 2026.
ABSTRACT We provide new exact formulas for the distribution of massive spanning forests on the complete graph, which give also a new outlook on the celebrated special case of the uniform spanning tree. As a corollary we identify their local limit. This generalizes a well‐known theorem of Grimmett on the local limit of uniform spanning trees on the ...
Matteo D'Achille, Nathanaël Enriquez, Paul Melotti   +2 more
wiley   +1 more source

Flexible Bayesian Inference for Identifying Significantly Correlated Multiple Pathway Sets

Statistics in Medicine, Volume 45, Issue 6-7, March 2026.
ABSTRACT In this paper, we propose a flexible Bayesian inference to identify significantly correlated high‐dimensional functions with the response variable, which is challenging because the relationship between the response variable and high‐dimensional functions is unknown and complex due to the dependence among high‐dimensional functions. For example,
PhilGeun Jin, Youngho Yun, Inyoung Kim
wiley   +1 more source

A Generalization Error Bound of Physics‐Informed Neural Networks for Ecological Diffusion Models

Stat, Volume 15, Issue 1, March 2026.
ABSTRACT Ecological diffusion equations (EDEs) are partial differential equations (PDEs) that model spatiotemporal dynamics, often applied to wildlife diseases. Derived from ecological mechanisms, EDEs are useful for forecasting, inference, and decision‐making, such as guiding surveillance strategies for wildlife diseases.
Juan Francisco Mandujano Reyes, Ting Fung Ma, Ian McGahan, Daniel Walsh, Jun Zhu   +4 more
wiley   +1 more source

Cognitive Networks for Knowledge Modeling: A Gentle Introduction for Data‐ and Cognitive Scientists

WIREs Cognitive Science, Volume 17, Issue 2, March/April 2026.
Cognitive network science helps organize associative knowledge—that is, the connections between concepts. These connections play a key role in cognitive processes such as language understanding and context interpretation, even though they are not obvious in language use.
Edith Haim, Massimo Stella
wiley   +1 more source

A Random Walker Algorithm for Plate Boundary Detection in Spherical Mantle Convection Models and Global Geophysical Data Sets: Application to Euler Vector Determination

Journal of Geophysical Research: Solid Earth, Volume 131, Issue 3, March 2026.
Abstract As spherical shell mantle convection models become increasingly commonplace, understanding how plates are generated has raised the issue of how to recognize whether rigid plates are present in model output. Tectonocists have long recognized that intraplate regions are not rigid without exception.
P. Javaheri, J. P. Lowman
wiley   +1 more source

Graph Laplacian Spectrum, topological properties, and high-order interactions of Structural Brain Networks are Subject-Specific, Repeatable but Highly Dependent on Graph Construction Scheme

, 2023
Dimitriadis SI.
europepmc   +1 more source

Population pharmacokinetics of lumefantrine in pregnant and non‐pregnant women with uncomplicated Plasmodium falciparum malaria in Western Kenya

British Journal of Clinical Pharmacology, Volume 92, Issue 3, Page 911-921, March 2026.
Aim This study intends to assess the pharmacokinetic properties and treatment response of lumefantrine in pregnant and non‐pregnant women with uncomplicated Plasmodium falciparum malaria infection in Western Kenya. Methods Seventy‐five women with uncomplicated P.
Elizabeth Juma, Junjie Ding, Martin Ongas, Nelly Koskei, Kevin Onyango, Florence Oloo, Rashid Aman, Gilbert Kokwaro, Joel Tarning, Bernhards Ogutu   +9 more
wiley   +1 more source

LONMF: a non-negative matrix factorization model based on graph Laplacian and optimal transmission for paired single-cell multi-omics data integration. [PDF]

BMC Bioinformatics
Nan M, Ren Q, Fu Y, Chen X, Qi G, Wang L, Gao J.   +6 more
europepmc   +1 more source

Longitudinal Alzheimer’s Disease Progression Modelling via Hybrid Vision Transformers and Recurrent Neural Networks With Cross‐Modal Feature Fusion

Expert Systems, Volume 43, Issue 3, March 2026.
ABSTRACT Modelling the evolution of Alzheimer's disease (AD) requires a thorough spatiotemporal study of longitudinal neuroimaging data. We propose in this paper a novel deep learning framework that uses a parallel combination of Recurrent Neural Networks (RNNs) and Vision Transformers (ViT) to extract temporal disease dynamics and spatial structural ...
Sahbi Bahroun, Gwanggil Jeon
wiley   +1 more source

Indicator from the graph Laplacian of stock market time series cross-sections can precisely determine the durations of market crashes. [PDF]

PLoS One
Kang ZT, Yen PT, Cheong SA.
europepmc   +1 more source