Results 221 to 230 of about 3,264 (278)

Estimating Aggregate Relationships in Panel Data via the LASSO

open access: yesOxford Bulletin of Economics and Statistics, Volume 88, Issue 1, Page 22-35, February 2026.
ABSTRACT This article is concerned with the estimation of aggregate relationships among a potentially large number of panel data variables in the presence of unobserved heterogeneity in the form of interactive effects, an empirically very relevant scenario that has not been considered before.
Joakim Westerlund, Luca Margaritella
wiley   +1 more source

Automatic Adaptive and Targeted Localized Refinement in Transient Structural Dynamic Simulations Using the Multiresolution Finite Wavelet Domain Method

open access: yesInternational Journal for Numerical Methods in Engineering, Volume 127, Issue 1, 15 January 2026.
ABSTRACT The multiresolution finite wavelet domain method has been meticulously studied in numerous wave propagation simulations, showing excellent convergence properties and very fast computing times. The multiresolution procedure always starts with the coarse solution, and then finer solutions can be superimposed on the coarse solution until ...
Dimitris Dimitriou   +2 more
wiley   +1 more source

One‐Dimensional Finite Elements With Arbitrary Cross‐Sectional Displacement Fields

open access: yesInternational Journal for Numerical Methods in Engineering, Volume 127, Issue 1, 15 January 2026.
ABSTRACT This paper introduces an unprecedented unified approach for developing structural theories with an arbitrary kinematic variable over the beam cross‐section. Each of the three displacement variables can be analyzed using an independent expansion function. Both the order of the expansion and the number of terms in each field can be any. That is,
E. Carrera, D. Scano, E. Zappino
wiley   +1 more source

Arousal as a universal embedding for spatiotemporal brain dynamics. [PDF]

open access: yesNature
Raut RV   +10 more
europepmc   +1 more source

Inconsistency Removal of Reduced Bases in Parametric Model Order Reduction by Matrix Interpolation Using Adaptive Sampling and Clustering

open access: yesInternational Journal for Numerical Methods in Engineering, Volume 127, Issue 1, 15 January 2026.
ABSTRACT Parametric model order reduction by matrix interpolation allows for efficient prediction of the behavior of dynamic systems without requiring knowledge about the underlying parametric dependency. Within this approach, reduced models are first sampled and then made consistent with each other by transforming the underlying reduced bases. Finally,
Sebastian Resch‐Schopper   +2 more
wiley   +1 more source

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