Results 71 to 80 of about 184,299 (283)

Multivariate reliability modelling with empirical Bayes inference [PDF]

open access: yes, 2007
Recent developments in technology permit detailed descriptions of system performance to be collected and stored. Consequently, more data are available about the occurrence, or non-occurrence, of events across a range of classes through time.
Quigley, J.L., Walls, L.A.
core  

Empirical Bayes selection of wavelet thresholds

open access: yes, 2005
This paper explores a class of empirical Bayes methods for level-dependent threshold selection in wavelet shrinkage. The prior considered for each wavelet coefficient is a mixture of an atom of probability at zero and a heavy-tailed density.
Johnstone, Iain M.   +1 more
core   +3 more sources

Engineering Approaches to Modify Immunomodulatory Functions of Mesenchymal Stromal Cells (MSCs): Tissue Regeneration and Clinical Application

open access: yesAdvanced Science, EarlyView.
Mesenchymal stromal cells (MSCs) show promise for treating immune‐related disorders through immunomodulation and tissue regeneration. This review gives a brief overview of current clinical approval of MSC therapies. It also discussed how bioengineering, including genetic modification, biomaterial delivery, extracellular vesicles, and iPSC‐derived MSCs,
Sichen Yang   +6 more
wiley   +1 more source

Empirical Bayes for DCM: a group inversion scheme

open access: yesFrontiers in Systems Neuroscience, 2015
This technical note considers a simple but important methodological issue in estimating effective connectivity; namely, how do we integrate measurements from multiple subjects to infer functional brain architectures that are conserved over subjects.
Karl eFriston   +2 more
doaj   +1 more source

Bayes and empirical Bayes: do they merge?

open access: yes, 2012
Bayesian inference is attractive for its coherence and good frequentist properties. However, it is a common experience that eliciting a honest prior may be difficult and, in practice, people often take an {\em empirical Bayes} approach, plugging ...
Petrone, Sonia   +2 more
core   +1 more source

Mass‐Produced and High‐Performance Nanowell Biosensor Fabricated via Semiconductor Manufacturing for Rapid and Accurate COVID‐19 Diagnosis in the Clinical Field

open access: yesAdvanced Science, EarlyView.
A semiconductor‐fabricated nanowell biosensor enables rapid, scalable, and highly reproducible detection of SARS‐CoV‐2 antigens from nasal swabs within ∼10 minutes. Clinical validation in 249 retrospective and 243 prospective patient samples demonstrates high sensitivity and specificity, minimal cross‐reactivity, and robust batch‐to‐batch ...
Yoo Min Park   +11 more
wiley   +1 more source

EMPIRICAL BAYES ANALYSIS OF TWO-FACTOR EXPERIMENTS UNDER INVERSE GAUSSIAN MODEL [PDF]

open access: yesJournal of Sciences, Islamic Republic of Iran, 2003
A two-factor experiment with interaction between factors wherein observations follow an Inverse Gaussian model is considered. Analysis of the experiment is approached via an empirical Bayes procedure.
doaj  

Some results on Bayes estimation under Linex loss function [PDF]

open access: yesJournal of Hyperstructures
In this paper, we introduced straightforward formulas for the Bayes risk linked to the Linex loss function, which we then applied to estimate parameters of the normal, Poisson, and fractional Weibull distributions.We aimed to investigate the development ...
Masoud Ganji, Fatemeh Gharari
doaj   +1 more source

Physical Implementation of Optical Material‐Based Neural Networks Processing Enabled by Long‐Persistent Luminescence

open access: yesAdvanced Science, EarlyView.
This study reports on the physical implementation of optical material‐based neural processing using long‐persistent luminescence as memory‐retention and nonlinear optical material. The system performs optical‐domain preprocessing with opto‐electronic interfaces for stimulus delivery and readout, enabling real‐time demonstrations including Pong gameplay
Sangwon Wi, Yunsang Lee
wiley   +1 more source

The impact of the Russia–Ukraine war on stock prices, profits and perceptions in the food supply chain

open access: yesAgribusiness, EarlyView.
Abstract The Russian invasion of Ukraine in February 2022 had profound consequences for the global economy. As both countries are major commodity exporters, the food value chain was also affected. This study investigates the impact of the invasion on stock prices, profitability and sentiments of agribusinesses along the food supply chain by using an ...
Julia Höhler   +2 more
wiley   +1 more source

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