Results 161 to 170 of about 4,616 (278)

Data-driven, ML-assisted approaches to problem well-posedness. [PDF]

PNAS Nexus
Bertalan T, Kevrekidis GA, Koronaki ED, Mishra S, Rebrova E, Kevrekidis IG.   +5 more
europepmc   +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

Socioeconomic gaps in the allocation of curriculum modifications in inclusive mainstream classrooms

Journal of Research in Special Educational Needs, Volume 26, Issue 3, July 2026.
Abstract Differentiation is a widely established approach to addressing heterogeneity in students' learning needs and prerequisites in inclusive mainstream classrooms. While differentiation has been extensively studied regarding its implementation and effectiveness, aspects of social selectivity in these practices remain underexplored.
Robin Benz, Caroline Sahli Lozano, Esperanza Marx   +2 more
wiley   +1 more source

Non-commutative L p spaces and Grassmann stochastic analysis. [PDF]

Probab Theory Relat Fields
De Vecchi F, Fresta L, Gordina M, Gubinelli M.   +3 more
europepmc   +1 more source

Reproductive Biology and Early Life History Inform Steepness and the Productivity of Rockfishes (Sebastes spp., Scorpaenidae) in the California Current

Fish and Fisheries, Volume 27, Issue 4, Page 1028-1046, July 2026.
ABSTRACT Steepness, a parameter derived from the stock‐recruit relationship, is widely used in fishery stock assessments to scale the productivity of a population. Steepness is a highly influential parameter, but it is often unknown a priori and is typically difficult to estimate.
Sabrina G. Beyer, John C. Field, Marc Mangel   +2 more
wiley   +1 more source

What Is a Pattern in Statistical Mechanics? Formalizing Structure and Patterns in One-Dimensional Spin Lattice Models with Computational Mechanics. [PDF]

Entropy (Basel)
Aguilar O.
europepmc   +1 more source

What Are Asset Price Bubbles? A Survey on Definitions of Financial Bubbles

Journal of Economic Surveys, Volume 40, Issue 3, Page 1572-1592, July 2026.
ABSTRACT Financial bubbles and crashes have repeatedly caused economic turmoil notably but not just during the 2008 financial crisis. However, both in the popular press as well as scientific publications, the meaning of bubble is sometimes unspecified.
Michael Heinrich Baumann, Anja Janischewski   +1 more
wiley   +1 more source

A Note on the Relativistic Transformation Properties of Quantum Stochastic Calculus. [PDF]

Entropy (Basel)
Gough JE.
europepmc   +1 more source

Robust Bernoulli Mixture Models for Credit Portfolio Risk

Mathematical Finance, Volume 36, Issue 3, Page 528-543, July 2026.
ABSTRACT This paper presents comparison results and establishes risk bounds for credit portfolios within classes of Bernoulli mixture models, assuming conditionally independent defaults that are stochastically increasing in a common risk factor. We provide simple and interpretable conditions on conditional default probabilities that imply a comparison ...
Jonathan Ansari, Eva Lütkebohmert
wiley   +1 more source

Disentangling Boltzmann Brains, the Time-Asymmetry of Memory, and the Second Law. [PDF]

Entropy (Basel)
Wolpert D, Rovelli C, Scharnhorst J.
europepmc   +1 more source