Results 161 to 170 of about 26,074 (306)
Missing Data Sensitivity Analyses for Alcohol Research. [PDF]
Enders CK, Ray LA.
europepmc +1 more source
Polarization Dynamics in Ferroelectrics: Insights Enabled by Machine Learning Molecular Dynamics
Machine learning molecular dynamics is presented as a route to capture polarization switching, domain wall kinetics, topological polar textures, and polar mechanical coupling beyond the limits of conventional atomistic methods. This Perspective surveys recent progress and identifies key methodological directions, including long‐range electrostatics ...
Dongyu Bai +3 more
wiley +1 more source
Unobserved confounders cannot explain over-crediting in avoided deforestation carbon projects. [PDF]
Guizar-Coutiño A +5 more
europepmc +1 more source
Task‐adaptive programmable optics enables label‐free virtual staining through optical‐attention‐guided acquisition and reconstruction. By optimizing wavelength, illumination angle, exposure time, and imaging depth, the framework learns task‐relevant optical measurements, generating clinically interpretable virtual stains with improved fidelity, non ...
Tianyue He +13 more
wiley +1 more source
Bayesian stochastic model specification search for seasonal and calendar effects
We apply a recent methodology, Bayesian stochastic model specification search (SMSS), for the selection of the unobserved components (level, slope, seasonal cycles, trading days effects) that are stochastically evolving over time.
Tommaso, Proietti, Stefano, Grassi
core
UNEMPLOYMENT AND HYSTERESIS: A NONLINEAR UNOBSERVED COMPONENTS APPROACH [PDF]
The aim of this paper is to find a possible hysteresis effect on unemployment rate series from Italy, France and the United States. We propose a definition of hysteresis taken from Physics which allows for nonlinearities.
Silvestro Di Sanzo, Alicia Pérez Alon
core
Estimating multivariate longitudinal trajectories using mixed-effects models with crossed random effects. [PDF]
Martínez-Huertas JÁ, Ferrer E.
europepmc +1 more source
Machine‐Learning Framework for Designing Stable Interfaces in All‐Solid‐State Lithium‐Ion Batteries
A data‐driven strategy is developed to discover coating materials for all‐solid‐state lithium batteries. Using calculations of interfacial reactivity, unsupervised pattern recognition, and machine‐learning prediction, the study identifies low‐reactivity compositional patterns and screens new lithium‐based oxide and polyanion candidates, extending ...
Sehyeok Park +4 more
wiley +1 more source
This paper develops and estimates a dynamic stochastic general equilibrium model of a small open economy which provides a quantitative description of the monetary transmission mechanism, yields a mutually consistent set of indicators of inflationary ...
Vitek, Francis
core
Correcting model error bias in estimations of neuronal dynamics from time series observations. [PDF]
Williams I, Taylor JD, Nogaret A.
europepmc +1 more source

