Results 111 to 120 of about 15,911,760 (295)
Entropy‐Driven Design of Low‐Melting‐Point Alloys via Compositionally Complex Strategy
Conventional low‐melting‐point alloys (LMPAs) are limited by a narrow compositional space and inherent property trade‐offs. This review presents an entropy‐driven design strategy that overcomes these limitations, ushering in a new class of low‐melting‐point compositionally complex alloys (LMCCAs).
Yinghui Shang +6 more
wiley +1 more source
BELMM: Bayesian model selection and random walk smoothing in time-series clustering. [PDF]
Sarala O, Pyhäjärvi T, Sillanpää MJ.
europepmc +1 more source
Bayesian Model Selection in the Analysis of Cointegration [PDF]
In this paper we present the Bayesian model selection procedure within the class of cointegrated processes. In order to make inference about the cointegration space we use the class of Matrix Angular Central Gaussian distributions. To carry out posterior
Justyna Wróblewska
core
Penalized flexible Bayesian quantile regression [PDF]
Copyright © 2012 SciResThis article has been made available through the Brunel Open Access Publishing Fund.The selection of predictors plays a crucial role in building a multiple regression model. Indeed, the choice of a suitable subset of predictors can
Yu, K, Alkenani, A, Alhamzawi, R
core +1 more source
In this study, we fabricate photovoltaic retinal implants with pyrolytic carbon electrodes and test their ability to stimulate mouse and pig retinas when illuminated with near‐infrared light. We find increased spiking activity in both animal models compared to spontaneous activity and TTX controls and analyze the spike amplitude, latency and frequency.
Akihiro Matsumoto +10 more
wiley +1 more source
The site selection of cold-chain logistics parks is an indispensable part of their planning and construction. This study aims to establish site selection model provide a scientific and sustainable for selecting and determining optimal cold chain ...
Lu Wang +3 more
doaj +1 more source
Bayesian Penalized Method for Streaming Feature Selection
The online feature selection with streaming features has become more and more important in recent years. In contrast to standard feature selection method, streaming feature selection method can select feature dynamically without exploring full feature ...
Xiao-Ting Wang, Xin-Ze Luan
doaj +1 more source
Bayesian Portfolio Selection with Gaussian Mixture Returns [PDF]
Markowitz portfolio selection is challenged by huge implementation barriers. This paper addresses the parameter uncertainty and deviation from normality in a Bayesian framework. The non-normal asset returns are modeled as finite Gaussian mixtures.
Qian, Hang
core
Bayesian Regularisation in Structured Additive Regression Models for Survival Data [PDF]
During recent years, penalized likelihood approaches have attracted a lot of interest both in the area of semiparametric regression and for the regularization of high-dimensional regression models.
Konrath, Susanne +2 more
core +1 more source
Metal‐free carbon catalysts enable the sustainable synthesis of hydrogen peroxide via two‐electron oxygen reduction; however, active site complexity continues to hinder reliable interpretation. This review critiques correlation‐based approaches and highlights the importance of orthogonal experimental designs, standardized catalyst passports ...
Dayu Zhu +3 more
wiley +1 more source

