Results 31 to 40 of about 236,809 (257)
Bayesian Computational Methods [PDF]
, 2011 In this chapter, we will first present the most standard computational challenges met in Bayesian Statistics, focussing primarily on mixture estimation and on model choice issues, and then relate these problems with computational solutions. Of course, this chapter is only a terse introduction to the problems and solutions related to Bayesian ...
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Bayesian Methods for Graph Clustering [PDF]
, 2009 Networks are used in many scientific fields such as biology, social science, and information technology. They aim at modelling, with edges, the way objects of interest, represented by vertices, are related to each other. Looking for clusters of vertices, also called communities or modules, has appeared to be a powerful approach for capturing the ...
Latouche, Pierre +2 more
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Objective Bayesian Estimation for Tweedie Exponential Dispersion Process
Mathematics, 2021 An objective Bayesian method for the Tweedie Exponential Dispersion (TED) process model is proposed in this paper. The TED process is a generalized stochastic process, including some famous stochastic processes (e.g., Wiener, Gamma, and Inverse Gaussian ...
Weian Yan +3 more
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Bayesian Methods in the Field of Rehabilitation
American Journal of Physical Medicine & Rehabilitation, 2019 Abstract Bayesian techniques, as an alternative method of statistical analysis in rehabilitation studies, have some advantages such as handling small sample sizes, allowing incorporation of previous experience of the researchers or clinicians, being suitable for different kinds of studies, and managing highly complex models.
Quintela-del-Río, Alejandro +5 more
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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
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A Continuation Method in Bayesian Inference
SIAM/ASA Journal on Uncertainty Quantification, 2023 We present a continuation method that entails generating a sequence of transition probability density functions from the prior to the posterior in the context of Bayesian inference for parameter estimation problems. The characterization of transition distributions, by tempering the likelihood function, results in a homogeneous nonlinear partial integro-
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Molecular Oncology, EarlyView.Single‐cell DNA methylation (scDNAme) profiling maps epimutational clonal evolution, revealing mechanisms of malignancy and therapeutic resistance across diverse cancer types. By providing a high‐resolution landscape of intratumoral heterogeneity, these technologies empower precise patient stratification, guide the development of enhanced ...
Ik Soo Kim
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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
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FEBS Open Bio, EarlyView.This protocol paper outlines methods to establish the success of a time‐resolved serial crystallographic experiment, by means of statistical analysis of timepoint data in reciprocal space and models in real space. We show how to amplify the signal from excited states to visualise structural changes in successful experiments.
Jake Hill +4 more
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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
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