Articles with "bayesian method" as a keyword



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Kinetic parameter estimation of hepatocellular carcinoma on 18 F-FDG PET/CT Based on Bayesian Method.

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Published in 2022 at "Medical physics"

DOI: 10.1002/mp.16139

Abstract: BACKGROUND Dynamic PET/CT combined with a dual-input three-compartment model can be applied to assess the kinetic parameters of hepatocellular carcinoma (HCC). The nonlinear least squares (NLLS) method is the most common method for fitting model… read more here.

Keywords: pet; background liver; nlls method; method ... See more keywords
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A nonparametric Bayesian method for dose finding in drug combinations cancer trials

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Published in 2022 at "Statistics in Medicine"

DOI: 10.1002/sim.9316

Abstract: We propose an adaptive design for early‐phase drug‐combination cancer trials with the goal of estimating the maximum tolerated dose (MTD). A nonparametric Bayesian model, using beta priors truncated to the set of partially ordered dose… read more here.

Keywords: drug; cancer trials; nonparametric bayesian; bayesian method ... See more keywords
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Identifying rice stress on a regional scale from multi-temporal satellite images using a Bayesian method.

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Published in 2019 at "Environmental pollution"

DOI: 10.1016/j.envpol.2019.01.024

Abstract: Crops are prone to various types of stress, such as caused by heavy metals, drought and pest/disease, during their life cycle. Heavy metal stress in crops poses a serious threat to crop quality and human… read more here.

Keywords: stress regional; rice; bayesian method; stress ... See more keywords
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An Over-Sampling Amplitude-Limited Variational Bayesian Method for the Identification of Hammerstein Model

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Published in 2020 at "IEEE Access"

DOI: 10.1109/access.2020.3044272

Abstract: Chemical industrial processes involve numerous multivariable nonlinear systems. Nonlinear Muli-Input Muli-Output (MIMO) models seem more suitable to represent most systems and control problems in industrial processes. Furthermore, the outputs of the real systems might be… read more here.

Keywords: hammerstein model; model; variational bayesian; bayesian method ... See more keywords
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A Bayesian Method for Localization by Multistatic Active Sonar

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Published in 2017 at "IEEE Journal of Oceanic Engineering"

DOI: 10.1109/joe.2016.2540744

Abstract: The question of localizing a target with multistatic active sonar is reexamined from the perspective of finding a peak in a probability distribution function. The probability distribution function is constructed using straightforward Bayesian principles. Both… read more here.

Keywords: bayesian method; method; localization; multistatic active ... See more keywords

Mutant Altimetric Parameter Estimation Using a Gradient-Based Bayesian Method

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Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"

DOI: 10.1109/lgrs.2022.3196393

Abstract: This letter proposes an advanced Bayesian algorithm for the estimation of mutant altimetric parameters. A sparse prior is introduced to enforce a mutant evolution of the altimetric parameters. A maximum $a$ posterior (MAP) estimator based… read more here.

Keywords: mutant altimetric; parameter estimation; method; estimation ... See more keywords
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Accuracy of predicting the vancomycin concentration in Japanese cancer patients by the Sawchuk–Zaske method or Bayesian method

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Published in 2019 at "Journal of Oncology Pharmacy Practice"

DOI: 10.1177/1078155219851834

Abstract: Background In cancer patients treated with vancomycin, therapeutic drug monitoring is currently performed by the Bayesian method that involves estimating individual pharmacokinetics from population pharmacokinetic parameters and trough concentrations rather than the Sawchuk–Zaske method using… read more here.

Keywords: sawchuk zaske; bayesian method; zaske method; method ... See more keywords

A Bayesian method for identifying associations between response variables and bacterial community composition

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Published in 2022 at "PLoS Computational Biology"

DOI: 10.1371/journal.pcbi.1010108

Abstract: Determining associations between intestinal bacteria and continuously measured physiological outcomes is important for understanding the bacteria-host relationship but is not straightforward since abundance data (compositional data) are not normally distributed. To address this issue, we… read more here.

Keywords: identifying associations; compositional data; method identifying; method ... See more keywords
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SPARTIN: a Bayesian method for the quantification and characterization of cell type interactions in spatial pathology data

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Published in 2023 at "Frontiers in Genetics"

DOI: 10.3389/fgene.2023.1175603

Abstract: Introduction: The acquisition of high-resolution digital pathology imaging data has sparked the development of methods to extract context-specific features from such complex data. In the context of cancer, this has led to increased exploration of… read more here.

Keywords: cell; pathology; immune; bayesian method ... See more keywords
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Use of a Non-parametric Bayesian Method to Model Health State Preferences: An Application to Polish and Irish EQ-5D-5L Valuations

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Published in 2022 at "Frontiers in Public Health"

DOI: 10.3389/fpubh.2022.917728

Abstract: Valuations of preference-based measures for health are conducted in different countries. There is scope to use results from existing countries' valuations to generate better valuation estimates than analyzing the data from each country separately. We… read more here.

Keywords: valuation; health; non parametric; polish irish ... See more keywords
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An Efficient Bayesian Method for Estimating the Degree of the Skewness of X Chromosome Inactivation Based on the Mixture of General Pedigrees and Unrelated Females

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Published in 2023 at "Biomolecules"

DOI: 10.3390/biom13030543

Abstract: Skewed X chromosome inactivation (XCI-S) has been reported to be associated with some X-linked diseases. Several methods have been proposed to estimate the degree of XCI-S (denoted as γ) for quantitative and qualitative traits based… read more here.

Keywords: mixture general; chromosome inactivation; unrelated females; based mixture ... See more keywords