Results 141 to 150 of about 6,908 (279)
Bayesian Estimation of the Normal Location Model: A Non‐Standard Approach
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
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
Dennis Hofheinz, Jörn Müller‐Quade
openalex +1 more source
The Construction of Ambiguous Optimistic Fair Exchange from Designated Confirmer Signature without Random Oracles [PDF]
Qiong Huang+2 more
openalex +1 more source
Miniaturized Devices for On‐the‐Spot Generation of Small‐Diameter Vascular Grafts
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
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
Fine-grained forward-secure signature schemes without random oracles
Jan Camenisch, Maciej Koprowski
openalex +1 more source
Tight Security for Signature Schemes Without Random Oracles [PDF]
Sven Schäge
openalex +1 more source
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