Results 141 to 150 of about 6,908 (279)

Bayesian Estimation of the Normal Location Model: A Non‐Standard Approach

open access: yesOxford Bulletin of Economics and Statistics, Volume 87, Issue 5, Page 913-923, October 2025.
ABSTRACT We consider the estimation of the location parameter θ$$ \theta $$ in the normal location model and study the sampling properties of shrinkage estimators derived from a non‐standard Bayesian approach that places the prior on a scaled version of θ$$ \theta $$, interpreted as the “population t$$ t $$‐ratio.” We show that the finite‐sample ...
Giuseppe De Luca   +2 more
wiley   +1 more source

Blind signature scheme based on trusted platform computation module

open access: yesTongxin xuebao, 2013
For the key leak problem in identity-based blind signature, a blind signature scheme based on the trusted plat-form control module (TPCM) was presented.
Wen-ting HUANG   +2 more
doaj  

Universally Composable Commitments Using Random Oracles

open access: bronze, 2004
Dennis Hofheinz, Jörn Müller‐Quade
openalex   +1 more source

Miniaturized Devices for On‐the‐Spot Generation of Small‐Diameter Vascular Grafts

open access: yesAdvanced Materials Technologies, Volume 10, Issue 17, September 4, 2025.
An intracorporeal extrusion device is developed for on‐the‐spot generation of vascular grafts with tunable diameters spanning from 1 to 6 mm. The device uses biomimetic polymers and light, to promptly obtaining biocompatible and high‐burst pressure‐resistant grafts.
Deyanira Hernandez‐Sanchez   +11 more
wiley   +1 more source

Enhancing Solid Oxide Fuel Cells Development through Bayesian Active Learning

open access: yesAdvanced Energy Materials, Volume 15, Issue 34, September 9, 2025.
This article presents an active learning approach using Bayesian optimization to calibrate the multiphase‐field model parameters for simulating the aging of Ni‐GDC anodes in SOFCs. By integrating experimental data and navigating through complex parameter spaces, it enhances predictive accuracy and provides insights into microstructural evolution ...
R. K. Jeela   +6 more
wiley   +1 more source

What matters for agricultural trade? Assessing the role of trade deal provisions using machine learning

open access: yesApplied Economic Perspectives and Policy, Volume 47, Issue 4, Page 1469-1506, September 2025.
Abstract This paper employs machine learning to determine which preferential trade agreement (PTA) provisions are relevant to agricultural trade patterns and the factors that may influence their adoption. Utilizing the three‐way gravity model, we apply plug‐in Lasso regularized regression to pinpoint predictive PTA provisions for agricultural trade ...
Stepan Gordeev   +3 more
wiley   +1 more source

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