المؤلفون: Botha, Imke, Kohn, Robert, South, Leah, Drovandi, Christopher

مصطلحات موضوعية: Statistics - Computation

URL الوصول: http://arxiv.org/abs/2307.11553

المؤلفون: Botha, Imke, Adams, Matthew P., Tran, Dang Khuong, Bennett, Frederick R., Drovandi, Christopher

مصطلحات موضوعية: Statistics - Computation, Statistics - Applications

URL الوصول: http://arxiv.org/abs/2206.02451

المؤلفون: Botha, Imke, Kohn, Robert, South, Leah, Drovandi, Christopher

مصطلحات موضوعية: Statistics - Computation, Statistics - Methodology

URL الوصول: http://arxiv.org/abs/2201.11354

المؤلفون: Botha, Imke, Kohn, Robert, Drovandi, Christopher

مصطلحات موضوعية: Statistics - Computation, Statistics - Methodology

URL الوصول: http://arxiv.org/abs/1907.11017

المؤلفون: Bennett, Frederick, Botha, Imke, Adams, Matthew, Drovandi, Chris

المساهمون: Vaze, Jai, Chilcott, Chris, Hutley, Lindsay, Cuddy, Susan M.

المصدر: Proceedings of the 25th International Congress on Modelling and Simulation (MODSIM 2023)

مصطلحات موضوعية: Bayesian inference, ensemble smoother, Sequential Monte Carlo sampling, Markov chain Monte Carlo sampling, water quality model, dissolved inorganic nitrogen

وصف الملف: application/pdf

Relation: https://eprints.qut.edu.au/242169/1/Bennett_et_al_2023_MODSIM.pdf; https://mssanz.org.au/modsim2023/files/bennett42.pdf; Bennett, Frederick, Botha, Imke, Adams, Matthew, & Drovandi, Chris (2023) Assimilating modelled dissolved inorganic nitrogen loads to monitored data using component-wise iterative ensemble Kalman inversion. In Vaze, Jai, Chilcott, Chris, Hutley, Lindsay, & Cuddy, Susan M. (Eds.) Proceedings of the 25th International Congress on Modelling and Simulation (MODSIM 2023). Modelling and Simulation Society of Australia and New Zealand Inc. (MSSANZ), Australia, pp. 72-78.; https://eprints.qut.edu.au/242169/; Centre for Data Science; Faculty of Science; School of Mathematical Sciences

الاتاحة: https://eprints.qut.edu.au/242169/

المؤلفون: Botha, Imke, Adams, Matthew, Frazier, David T., Tran, Dan, Bennett, Frederick, Drovandi, Chris

المصدر: Inverse Problems

مصطلحات موضوعية: Bayesian inference, EnKF, SMC, APSIM, seagrass, coral, model sloppiness

وصف الملف: application/pdf

Relation: https://eprints.qut.edu.au/234463/8/Botha_2023_Inverse_Problems_39_125014.pdf; Botha, Imke, Adams, Matthew, Frazier, David T., Tran, Dan, Bennett, Frederick, & Drovandi, Chris (2023) Component-wise iterative ensemble Kalman inversion for static Bayesian models with unknown measurement error covariance. Inverse Problems, 39(12), Article number: 125014.; http://purl.org/au-research/grants/arc/FT210100260; http://purl.org/au-research/grants/arc/DE200100683; https://eprints.qut.edu.au/234463/; Centre for Data Science; Faculty of Science; School of Mathematical Sciences

الاتاحة: https://eprints.qut.edu.au/234463/

المؤلفون: Botha, Imke, Kohn, Robert, South, Leah, Drovandi, Christopher

المساهمون: Australian Research Council

المصدر: Statistics and Computing ; volume 33, issue 4 ; ISSN 0960-3174 1573-1375

الاتاحة: http://dx.doi.org/10.1007/s11222-023-10250-2
https://link.springer.com/content/pdf/10.1007/s11222-023-10250-2.pdf
https://link.springer.com/article/10.1007/s11222-023-10250-2/fulltext.html

المؤلفون: Botha, Imke, Kohn, Robert, Drovandi, Christopher

المصدر: Bayesian Analysis

مصطلحات موضوعية: Bayesian inference, hierarchical models, MCMC, particle Gibbs, pseudo-marginal, random effects

وصف الملف: application/pdf

Relation: https://eprints.qut.edu.au/233358/1/112563769.pdf; Botha, Imke, Kohn, Robert, & Drovandi, Christopher (2021) Particle Methods for Stochastic Differential Equation Mixed Effects Models. Bayesian Analysis, 16(2), pp. 575-609.; http://purl.org/au-research/grants/arc/DP200102101; http://purl.org/au-research/grants/arc/CE140100049; https://eprints.qut.edu.au/233358/; Centre for Data Science; Faculty of Science; School of Mathematical Sciences

الاتاحة: https://eprints.qut.edu.au/233358/

المؤلفون: Botha, Imke

مصطلحات موضوعية: Bayesian inference, sequential Monte Carlo, particle methods, pseudo-marginal methods, SMC^2, ensemble Kalman inversion, state space models

وصف الملف: application/pdf

Relation: https://eprints.qut.edu.au/251487/1/Imke%20Botha%20Thesis.pdf; Botha, Imke (2024) Adaptive Bayesian Algorithms for Complex State Space and Mathematical Models. PhD by Publication, Queensland University of Technology.; https://eprints.qut.edu.au/251487/; Faculty of Science

الاتاحة: https://eprints.qut.edu.au/251487/

المؤلفون: Botha, Imke

مصطلحات الفهرس: Bayesian inference, Pseudo-marginal, Particle MCMC, MCMC, Hierarchical models, Data augmentation, Particle Gibbs, Thesis

URL: https://eprints.qut.edu.au/198039/1/Imke_Botha_Thesis.pdf
https://eprints.qut.edu.au/198039/1/Imke_Botha_Thesis.pdf
doi:10.5204/thesis.eprints.198039
Botha, Imke (2020) Bayesian inference for stochastic differential equation mixed effects models. Master of Philosophy thesis, Queensland University of Technology.