Results 51 to 60 of about 12,384 (113)

Large‐Dimensional Cointegrated Threshold Factor Models: The Global Term Structure of Interest Rates

open access: yesOxford Bulletin of Economics and Statistics, EarlyView.
ABSTRACT In this paper we extend the two‐level factor model to account for cointegration between group‐specific factors in large datasets. We propose two nonlinear specifications: (i) a threshold vector error correction model (VECM) that allows for asymmetric adjustment across regimes; and (ii) a band VECM that captures state‐dependent adjustment which
Daniel Abreu, Paulo M. M. Rodrigues
wiley   +1 more source

Kan Extensions are Partial Colimits. [PDF]

open access: yesAppl Categ Struct, 2022
Perrone P, Tholen W.
europepmc   +1 more source

Reading Dürer in Late Sixteenth‐Century Padua: Matteo Macigni (ca. 1510–1582), His Library and the Annotated Institutionum geometricarum (Paris, 1535)

open access: yesRenaissance Studies, EarlyView.
ABSTRACT This article contributes to the history of material culture and intellectual biography by definitively identifying the Paduan scholar Matteo Macigni (ca. 1510–1582) as the author of the annotations found in a 1535 copy of Albrecht Dürer’s Institutionum geometricarum currently preserved in Vicenza.
Laura Moretti
wiley   +1 more source

On the additive image of zeroth persistent homology

open access: yesTransactions of the London Mathematical Society, Volume 13, Issue 1, December 2026.
Abstract For a category X$X$ and a finite field F$F$, we study the additive image of the functor H0(−;F)∗:rep(X,Top)→rep(X,VectF)$\operatorname{H}_0(-;F)_* \colon \operatorname{rep}(X, \mathbf {Top}) \rightarrow \operatorname{rep}(X, \mathbf {Vect}_F)$, or equivalently, of the free functor rep(X,Set)→rep(X,VectF)$\operatorname{rep}(X, \mathbf {Set ...
Ulrich Bauer   +3 more
wiley   +1 more source

Topological Graph Neural Networks: A Novel Approach for Geometric Deep Learning

open access: yesApplied AI Letters, Volume 7, Issue 2, June 2026.
This graphical abstract illustrates the Topological Graph Neural Network (TopGNN) architecture. It demonstrates a parallel processing approach where an input graph is simultaneously analyzed by a standard GNN Encoder to capture local node features and by Persistent Homology to extract global topological features (like cycles and voids), visualized as a
Amarjeet   +7 more
wiley   +1 more source

The Rise of Human–Computer Integration in Marketing: A Theory Synthesis

open access: yesPsychology &Marketing, Volume 43, Issue 6, Page 1343-1380, June 2026.
ABSTRACT Human–computer integration (HCInt) technologies, which merge human bodily, cognitive, and sensory functions with computational processes, are reshaping the foundations of consumer experience. Unlike traditional human–computer interaction, HCInt entails adaptive and reciprocal coupling through AI‐driven augmentation, wearables, muscle–computer ...
Carlos Velasco   +5 more
wiley   +1 more source

Optimizing Large‐Scale Mathematical Assessments: Leveraging Hierarchical Attribute Structures and Diagnostic Classification Models for Enhanced Student Diagnostics

open access: yesEducational Measurement: Issues and Practice, Volume 45, Issue 2, Summer 2026.
Abstract Diagnostic classification models (DCMs) assess students’ mastery of cognitive attributes to provide personalized ability profiles. Retrofitting DCMs to large‐scale mathematics assessments usually relies on inferred Q‐matrices, which can reduce accuracy and diagnostic value.
Farshad Effatpanah   +4 more
wiley   +1 more source

The local motivic DT/PT correspondence. [PDF]

open access: yesJ Lond Math Soc, 2021
Davison B, Ricolfi AT.
europepmc   +1 more source

Coulomb branch algebras via symplectic cohomology

open access: yesJournal of Topology, Volume 19, Issue 2, June 2026.
Abstract Let (M¯,ω)$(\bar{M}, \omega)$ be a compact symplectic manifold with convex boundary and c1(TM¯)=0$c_1(T\bar{M})=0$. Suppose that (M¯,ω)$(\bar{M}, \omega)$ is equipped with a convex Hamiltonian G$G$‐action for some connected, compact Lie group G$G$.
Eduardo González   +2 more
wiley   +1 more source

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