Results 51 to 60 of about 12,151,236 (300)
Efficient acquisition rules for model-based approximate Bayesian computation [PDF]
, 2018 Approximate Bayesian computation (ABC) is a method for Bayesian inference when the likelihood is unavailable but simulating from the model is possible. However, many ABC algorithms require a large number of simulations, which can be costly. To reduce the
Pleska, Arijus +5 more
core +1 more source
Reconstructing enzyme evolution by protein engineering
FEBS Letters, EarlyView.Natural enzyme evolution can be retraced by protein engineering methods such as directed evolution, rational design, and ancestral sequence reconstruction. These approaches reveal how enzymes emerged from ligand‐binding scaffolds, developed varying substrate preferences, formed oligomeric complexes, adapted to environmental changes, and evolved novel ...
Lukas Drexler +2 more
wiley +1 more source
Parameter estimation of exponentiated Rayleigh distribution under different loss functions [PDF]
Memoirs of the Scientific Sections of the Romanian Academy, 2021 In this paper, exponentiated Rayleigh distribution is considered for Bayesian analysis. The expressions for Bayes estimators of the parameter have been derived under squared error, precautionary, entropy, K-loss, and Al-Bayyati’s loss functions by using ...
Arun Kumar Rao, Himanshu Pandey
doaj
Molecular Oncology, EarlyView.Tumour heterogeneity and clonal evolution of metastatic salivary gland cancer were evaluated in two patients with adenoid carcinoma and one patient with myoepithelial carcinoma. Radiology‐guided autopsy enabled multi‐region sampling (total samples n = 149), followed by whole‐genome sequencing and phylogenetic reconstruction (17 tumour samples, 4–7 per ...
Gerben Lassche +10 more
wiley +1 more source
Directed evolution of enzymes at the crossroads of tradition and innovation
FEBS Open Bio, EarlyView.An iterative cycle of data‐driven enzyme optimization comprising four stages: genetic diversification of a template enzyme, expression of protein variants, high‐throughput evaluation, and machine‐learning‐guided redesign of the next variant library.
Maria Tomkova +2 more
wiley +1 more source
Yantu gongcheng xuebao, 2018 A Bayesian framework is developed to probabilistically identify the underground stratigraphy based on Ic data. The proposed Bayesian framework identifies the most probable soil layer boundaries with the consideration of spatial variability of Ic and ...
CAO Zi-jun 1, ZHENG Shuo 1, LI Dian-qing 1, AU Sui-kiu 2
doaj +1 more source
Bayesian inspection planning for large industrial systems [PDF]
, 2007 The implementation of consistent and repeatable methods for inspection planning is a problem faced by a wide range of industries. The theory of Bayesian design problems provides a well established method for the treatment of inspection planning problems,
Hardman, Gavin
core
Molecular characterization of covRS mutations in M1UK Streptococcus pyogenes
FEBS Open Bio, EarlyView.Group A Streptococcus (GAS) acquires covRS mutations driving a hypervirulent bacterial state, frequently associated with invasive disease‐like necrotizing fasciitis. We demonstrate that the newly emerged M1UK GAS lineage can also acquire these mutations.
Jarrad Pritchard +12 more
wiley +1 more source
Some results of classification problem by Bayesian method and application in credit operation
Statistical Theory and Related Fields, 2018 This study proposes some results in classifying by Bayesian method. There are upper and lower bounds of the Bayes error as well as its determination in case of one dimension and multi-dimensions.
Tai Vovan
doaj +1 more source
Independence and Bayesian updating methods [PDF]
Artificial Intelligence, 1986 Appears in Proceedings of the First Conference on Uncertainty in Artificial Intelligence (UAI1985)
openaire +6 more sources