Results 151 to 160 of about 832,071 (345)
The is no other model or hypothesis verification tool in Bayesian statistics that is as widely used as the Bayes factor. We focus on generative models that are likelihood-free and, therefore, render the computation of Bayes factors (marginal likelihood ...
Rockova, Veronika, Kim, Jungeum
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Bayes Estimators of the Cointegration Space [PDF]
, 2003 A neglected aspect of the otherwise fairly well developed Bayesian analysis of cointegration is the point estimation of the cointegration space. It is pointed out here that, due to the well known non-identification of the cointegration vectors, the ...
Villani, Mattias
core
Advanced 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
MFPD: A Multiple Fungal Pathogen Detection Pipeline Across Diverse Habitats
Advanced Science, EarlyView.The MFPD pipeline integrates a comprehensive ITS reference database of fungal pathogens, optimized parameters, and algorithms tailored for both full‐length and subregion sequences that balance accuracy and computational efficiency; it enables high‐throughput, species‐level identification from amplicon sequencing data, supporting large‐scale ...
Yi Shen +13 more
wiley +1 more source
AxiomsFor the hierarchical normal and normal-inverse-gamma model, we derive the Bayesian estimator of the variance parameter in the normal distribution under Stein’s loss function—a penalty function that treats gross overestimation and underestimation equally ...
Ying-Ying Zhang
doaj +1 more source
Advanced Science, EarlyView.An optimized ex vivo human liver slice culture system preserves tissue architecture, hepatocyte function, and immune‐stromal complexity for at least five days. By refining slice thickness, oxygenation, air‐liquid interface, and extracellular matrix support, the platform enables human‐relevant hepatotoxicity testing and mechanistic studies, offering a ...
Huiche Feng +17 more
wiley +1 more source
Bayes and empirical Bayes estimation with errors in variables [PDF]
Suppose that the random variable X is distributed according to exponential families of distributions, conditional on the parameter [theta]. Assume that the parameter [theta] has a (prior) distribution G.
Zhang, Shunpu, Karunamuni, Rohana J.
core
Computationally Efficient Estimators for the Bayes Risk [PDF]
, 2003 Tech ReportA computationally efficient estimator for the Bayes risk is one which achieves a desired accuracy with a minimum of computation. In many problems, for example speech recognition, point evaluations of the class conditional densities are ...
Wilcox, Lynn D., de Figueiredo, Rui J.P.
core
Bayes and Non-Bayes Estimation Methods for the Parameter of Maxwell-Boltzmann Distribution [PDF]
In this paper, point estimation for parameter ? of Maxwell-Boltzmann distribution has been investigated by using simulation technique, to estimate the parameter by two sections methods; the first section includes Non-Bayesian estimation methods, such as (
Salman, Shayma G., Alkanani, Iden H.
core +2 more sources
Advanced Science, EarlyView.A DNA‐functionalized biohybrid hydrogel is developed by integrating Cu‐mediated nucleic acid microflowers into a thermoresponsive matrix, enabling electrothermally triggered, on‐demand payload release. The platform offers spatiotemporally controllable therapeutic delivery with promising applications in precision oncology, neural regulation, and chronic
Mengqiu Sun +8 more
wiley +1 more source