Results 141 to 150 of about 16,277 (238)

Kalman Filter Learning, Bounded Rationality and Informational Consistency

open access: yesOxford Bulletin of Economics and Statistics, EarlyView.
ABSTRACT We develop a behavioural New Keynesian model with rational (RE) and boundedly rational (BR) agents. The latter are anticipated utility learners and use simple heuristic rules to forecast aggregate variables exogenous to their micro‐environment.
Szabolcs Deák   +3 more
wiley   +1 more source

Is the World Getting Smaller? Network‐Driven Heterogeneity in Gravity‐Model Elasticities

open access: yesThe World Economy, EarlyView.
ABSTRACT Gravity models constitute the workhorse of empirical international trade research, yet the temporal stability of their core parameters—distance and GDP elasticities—remains underexplored, particularly in relation to the evolving structure of trade networks.
Zsolt T. Kosztyán   +2 more
wiley   +1 more source

Brain PDGFRβ+ Cells Exhibit Diverse Reactive Phenotypes After Stroke Without Requiring KLF4

open access: yesGlia, Volume 75, Issue 1, January 2027.
Brain PDGFRβ+ cells become reactive and adopt diverse phenotypes after stroke. Reactive PDGFRβ+ cells exhibit predictable spatial distribution relative to glial scar. KLF4 is not required to mediate the reactivity of brain PDGFRβ+ cells after stroke.
Daniel Manrique‐Castano, Ayman ElAli
wiley   +1 more source

Comparing Transitional Markov Chain Monte Carlo and Metropolis–Hastings Sampling for Bayesian Bathymetry Reconstruction

open access: yesProceedings in Applied Mathematics and Mechanics, Volume 26, Issue 4, December 2026.
ABSTRACT Inference in Bayesian inverse problems frequently relies on sampling‐based methods for exploring the posterior distribution. In this paper, we compare two such methods for Bayesian bathymetry reconstruction from water‐surface elevation measurements: Metropolis–Hastings Markov chain Monte Carlo (MH‐MCMC) and transitional Markov chain Monte ...
Lars Stietz   +3 more
wiley   +1 more source

An imputation method for single‐cell RNA sequencing data based on a parallel gated recurrent unit neural network

open access: yesQuantitative Biology, Volume 14, Issue 4, December 2026.
Abstract Single‐cell RNA sequencing (scRNA‐seq) generates high‐dimensional transcriptomic data but is severely affected by dropout events, which obscure true gene–gene relationships. These missing values introduce bias into downstream analyses, complicate data processing, and reduce analytical efficiency.
Shuang Xu   +3 more
wiley   +1 more source

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