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Exploring muscle recruitment by Bayesian methods during motion
Amankwah, M., Bersani, A., Calvetti, D., Davico, G., Somersalo, E., Viceconti, M.
Published in Chaos, solitons and fractals (01.08.2024)
Published in Chaos, solitons and fractals (01.08.2024)
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Accuracy of breast cancer lesion classification using intravoxel incoherent motion diffusion‐weighted imaging is improved by the inclusion of global or local prior knowledge with bayesian methods
Vidić, Igor, Jerome, Neil P., Bathen, Tone F., Goa, Pål E., While, Peter T.
Published in Journal of magnetic resonance imaging (01.11.2019)
Published in Journal of magnetic resonance imaging (01.11.2019)
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Bayesian Methods in Cosmology
Hobson, Michael P, Jaffe, Andrew H, Liddle, Andrew R, Mukherjee, Pia, Parkinson, David
Year of Publication 10.12.2009
Year of Publication 10.12.2009
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Bayesian Methods for Nonignorable Dropout in Joint Models in Smoking Cessation Studies
Gaskins, J. T., Daniels, M. J., Marcus, B. H.
Published in Journal of the American Statistical Association (01.12.2016)
Published in Journal of the American Statistical Association (01.12.2016)
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Investigating the association of a sensitive attribute with a random variable using the Christofides generalised randomised response design and Bayesian methods
Lee, Shen‐Ming, Le, Truong‐Nhat, Tran, Phuoc‐Loc, Li, Chin‐Shang
Published in Journal of the Royal Statistical Society Series C: Applied Statistics (01.11.2022)
Published in Journal of the Royal Statistical Society Series C: Applied Statistics (01.11.2022)
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Bayesian methods for proteomics
Alterovitz, Gil, Liu, Jonathan, Afkhami, Ehsan, Ramoni, Marco F.
Published in Proteomics (Weinheim) (01.08.2007)
Published in Proteomics (Weinheim) (01.08.2007)
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Implications of the variation in biological 18O natural abundance in body water to inform use of Bayesian methods for modelling total energy expenditure when using doubly labelled water
Singh, Priya A., Orford, Elise R., Donkers, Kevin, Bluck, Leslie J.C., Venables, Michelle C.
Published in Rapid communications in mass spectrometry (30.12.2018)
Published in Rapid communications in mass spectrometry (30.12.2018)
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Implications of the variation in biological 18 O natural abundance in body water to inform use of Bayesian methods for modelling total energy expenditure when using doubly labelled water
Singh, Priya A., Orford, Elise R., Donkers, Kevin, Bluck, Leslie J.C., Venables, Michelle C.
Published in Rapid communications in mass spectrometry (30.12.2018)
Published in Rapid communications in mass spectrometry (30.12.2018)
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Template Independent Component Analysis: Targeted and Reliable Estimation of Subject-level Brain Networks Using Big Data Population Priors
Mejia, Amanda F., Nebel, Mary Beth, Wang, Yikai, Caffo, Brian S., Guo, Ying
Published in Journal of the American Statistical Association (02.07.2020)
Published in Journal of the American Statistical Association (02.07.2020)
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Template Independent Component Analysis with Spatial Priors for Accurate Subject-Level Brain Network Estimation and Inference
Mejia, Amanda F., Bolin, David, Yue, Yu Ryan, Wang, Jiongran, Caffo, Brian S., Nebel, Mary Beth
Published in Journal of computational and graphical statistics (03.04.2023)
Published in Journal of computational and graphical statistics (03.04.2023)
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