Results 191 to 200 of about 2,583,502 (287)

LORAMI: Low‐Rank Adaptation for Multi‐Identity Physics‐Based Face Rigs

open access: yesComputer Graphics Forum, EarlyView.
Abstract Physics‐based simulation can augment facial rigs with high‐quality deformations, but at steep computational costs. While neural surrogates can substantially reduce computation time, existing methods do not generalize across identity variations and instead require expensive per‐case retraining.
D. Corigliano   +3 more
wiley   +1 more source

Do we really need A‐shaped coordinators? A comparison across specialists versus generalists in coordinated exploration

open access: yesEuropean Management Review, EarlyView.
Abstract Coordinated exploration involves effectively integrating discoveries from different areas of expertise to identify high‐value combinations of alternatives. Extant literature suggests that a coordinator holding A‐shaped skills might play a crucial role in supporting groups in this process.
Michela Carraro, Andrea Furlan
wiley   +1 more source

The Decentralization of Liquor Policies in Texas During the Post‐Prohibition Era

open access: yesInternational Economic Review, EarlyView.
ABSTRACT We examine the decentralization of liquor policies in Texas during the Post‐Prohibition era using newly collected historical legislative roll call data. By combining these data with local referendum vote shares, we analyze both legislators' and constituents' preferences on liquor policy.
Andrew Arnold, Holger Sieg
wiley   +1 more source

Goodness‐of‐Fit Tests for Positive Quadrant Dependence

open access: yesInternational Statistical Review, EarlyView.
Summary When two random variables are positive quadrant dependent (PQD), they are more likely to assume small (or large) values simultaneously compared with when the random variables are independent. This dependence structure is of interest in many areas, including finance, actuarial science and engineering.
Chuan‐Fa Tang, Joshua M. Tebbs
wiley   +1 more source

A note on generalised information criteria for structured sparse models

open access: yesInternational Statistical Review, EarlyView.
Summary We propose a generalised information criteria ( gic) that accounts for sparsity pattern in the model. We obtain both asymptotic and nonasymptotic results for model selection. Moreover, we show that the gic is useful for selecting the regularisation parameter in regularised m$$ m $$ estimation in high‐dimensional scenarios.
Eduardo Fonseca Mendes   +1 more
wiley   +1 more source

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