Bayesian framework for proficiency tests using auxiliary information on laboratories
Sign Up to like & getrecommendations! Published in 2017 at "Accreditation and Quality Assurance"
DOI: 10.1007/s00769-017-1247-y
Abstract: In this paper, we propose a Bayesian framework to analyse proficiency tests results that allows to combine prior information on laboratories and prior knowledge on the consensus value when no measurement uncertainties nor replicates are… read more here.
Keywords: proficiency tests; information; proficiency; consensus value ... See more keywords
A Bayesian Framework to Estimate Fluid and Material Parameters in Micro-swimmer Models
Sign Up to like & getrecommendations! Published in 2021 at "Bulletin of Mathematical Biology"
DOI: 10.1007/s11538-020-00852-6
Abstract: To advance our understanding of the movement of elastic microstructures in a viscous fluid, techniques that utilize available data to estimate model parameters are necessary. Here, we describe a Bayesian uncertainty quantification framework that is… read more here.
Keywords: framework; fluid; estimate fluid; framework estimate ... See more keywords
Application of the Bayesian framework for forensic interpretation to casework involving postmortem interval estimates of decomposed human remains.
Sign Up to like & getrecommendations! Published in 2019 at "Forensic science international"
DOI: 10.1016/j.forsciint.2019.05.050
Abstract: We demonstrate how the Bayesian framework for forensic interpretation can be adapted for casework involving postmortem intervals (PMI) utilizing taphonomic data as well as how to overcome some of the limitations of current approaches for… read more here.
Keywords: forensic interpretation; framework forensic; involving postmortem; bayesian framework ... See more keywords
Thermorheologically simple materials: A bayesian framework for model calibration and validation
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Sound and Vibration"
DOI: 10.1016/j.jsv.2017.05.005
Abstract: Abstract The dynamic properties of viscoelastic materials show highly frequency-temperature dependency and numerical methods for structural systems containing this type of material require accurate mathematical models to describe their dynamical behaviour. The material behaviour here… read more here.
Keywords: temperature; validation; thermorheologically simple; model ... See more keywords
Determining open cluster membership. A Bayesian framework for quantitative member classification
Sign Up to like & getrecommendations! Published in 2018 at "Astronomy and Astrophysics"
DOI: 10.1051/0004-6361/201628568
Abstract: Aims. My goal is to develop a quantitative algorithm for assessing open cluster membership probabilities. The algorithm is designed to work with single-epoch observations. In its simplest form, only one set of program images and… read more here.
Keywords: bayesian framework; cluster; cluster membership; open cluster ... See more keywords
Bayesian framework for fault variable identification
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Quality Technology"
DOI: 10.1080/00224065.2018.1507561
Abstract: Abstract In most manufacturing processes, identifying the faulty process variables that may lead to process changes is crucial for quality engineers and practitioners. There are several parametric procedures for identifying faulty variables with the assumption… read more here.
Keywords: fault; identifying faulty; framework fault; fault variable ... See more keywords
A Bayesian framework for molecular strain identification from mixed diagnostic samples
Sign Up to like & getrecommendations! Published in 2018 at "Inverse Problems"
DOI: 10.1088/1361-6420/aad7cd
Abstract: We provide a mathematical formulation and develop a computational framework for identifying multiple strains of microorganisms from mixed samples of DNA. Our method is applicable in public health domains where efficient identification of pathogens is… read more here.
Keywords: identification; bayesian framework; problem; strain identification ... See more keywords
IntOMICS: A Bayesian Framework for Reconstructing Regulatory Networks Using Multi-Omics Data
Sign Up to like & getrecommendations! Published in 2023 at "Journal of Computational Biology"
DOI: 10.1089/cmb.2022.0149
Abstract: Integration of multi-omics data can provide a more complex view of the biological system consisting of different interconnected molecular components. We present a new comprehensive R/Bioconductor-package, IntOMICS, which implements a Bayesian framework for multi-omics data… read more here.
Keywords: multi omics; regulatory networks; bayesian framework; biology ... See more keywords
A Bayesian framework for incorporating exposure uncertainty into health analyses with application to air pollution and stillbirth.
Sign Up to like & getrecommendations! Published in 2022 at "Biostatistics"
DOI: 10.1093/biostatistics/kxac034
Abstract: Studies of the relationships between environmental exposures and adverse health outcomes often rely on a two-stage statistical modeling approach, where exposure is modeled/predicted in the first stage and used as input to a separately fit… read more here.
Keywords: health; framework incorporating; uncertainty; stage ... See more keywords
A unifying Bayesian framework for merging X-ray diffraction data
Sign Up to like & getrecommendations! Published in 2022 at "Nature Communications"
DOI: 10.1101/2021.01.05.425510
Abstract: Novel X-ray methods are transforming the study of the functional dynamics of biomolecules. Key to this revolution is detection of often subtle conformational changes from diffraction data. Diffraction data contain patterns of bright spots known… read more here.
Keywords: diffraction data; framework merging; unifying bayesian; diffraction ... See more keywords
A Bayesian Framework for Integrated Deep Metric Learning and Tracking of Vulnerable Road Users Using Automotive Radars
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3077690
Abstract: With the recent advancements in radar systems, radar sensors offer a promising and effective perception of the surrounding. This includes target detection, classification and tracking. Compared to the state-of-the-art, where the state vector of classical… read more here.
Keywords: vulnerable road; metric learning; deep metric; road users ... See more keywords