Robuta

https://pubmed.ncbi.nlm.nih.gov/32571519/ Bayesian modelling captures inter-individual differences in social belief computations in the... Computational models of social learning and decision-making provide mechanistic tools to investigate the neural mechanisms that are involved in understanding... bayesian modellingindividual differencescapturesinter https://theses.gla.ac.uk/84689/ Flexible quantile regression and Bayesian quantile modelling for longitudinal child growth data -... quantile regressionbayesian modellingchild growthflexible https://www.jacobscenter.uzh.ch/de/events/workshops/2024/workshop_bayesian-modelling-for-observational-data.html Workshop: Bayesian modelling for observational data | Jacobs Center for Productive Youth... bayesian modellingobservational dataworkshopjacobscenter https://research.monash.edu/en/publications/bayesian-modelling-to-assist-inference-on-health-outcomes-in-occu/ Bayesian Modelling to assist inference on health outcomes in Occupational Health Surveillance -... bayesian modellingon healthassistinference https://www3.monash.edu/pubs/2015handbooks/units/ETC3420.html ETC3420: Bayesian modelling and risk analysis - 2015 Handbook - Monash University ETC3420: Bayesian modelling and risk analysis bayesian modellingrisk analysishandbookmonashuniversity https://dukespace.lib.duke.edu/items/f535a42e-9560-4a59-8a6e-5ae7ab8e6200/full Objective Bayesian modelling of insurance risks with the skewed Student-t distribution Insurance risks data typically exhibit skewed behaviour. In this paper, we propose a Bayesian approach to capture the main features of these data sets. This... bayesian modelling https://eprints.ncl.ac.uk/199613 Bayesian modelling of compositional heterogeneity in molecular phylogenetics - ePrints - Newcastle... bayesian modellingmolecular phylogeneticsheterogeneityeprintsnewcastle https://openresearch-repository.anu.edu.au/items/37755b7f-7165-44d7-bd37-ac3de00e8b4d/request-a-copy?bitstream=84f5ceba-5e2b-4393-ae00-f9170a2ebd97 Good Practice in Bayesian Network Modelling Bayesian networks (BNs) are increasingly used to model environmental systems, in order to: integrate multiple issues and system components; utilise information... good practicebayesiannetworkmodelling https://gchron.copernicus.org/articles/7/545/2025/gchron-7-545-2025.html GChron - StratoBayes: a Bayesian method for automated stratigraphic correlation and age modelling Abstract. Stratigraphic correlation and age modelling are fundamental to reconstructing Earth's history, biological evolution, and palaeoclimate, and underpin... https://kth.diva-portal.org/smash/record.jsf?dswid=3396&pid=diva2:808656 Combined Modelling of Sparse and Dense noise improves Bayesian RVM combinedmodellingsparsedensenoise https://eprints.ncl.ac.uk/240440 A Bayesian approach to modelling the impact of hydrodynamic shear stress on biofilm deformation -... https://digitalcommons.usf.edu/kip_articles/4549/ "Radiocarbon dating & Bayesian modelling from the Grotte du Renne & a N" by T. Higham, C. Ramsey et... Hublin et al (2012) have published a new series of AMS determinations from the site of the Grotte du Renne at Arcy-sur-Cure, one of the key sites in... https://arxiv.org/abs/1911.09006 [1911.09006] Additive Bayesian Network Modelling with the R Package abn Abstract page for arXiv paper 1911.09006: Additive Bayesian Network Modelling with the R Package abn network modellingadditivebayesian https://ucrisportal.univie.ac.at/de/publications/bayesian-hierarchical-modelling-for-analysing-the-effect-of-speec/ Bayesian Hierarchical Modelling for Analysing the Effect of Speech Synthesis on Post-Editing... https://cordis.europa.eu/project/id/101040876/de A New Bayesian Foundation for Psychometric Network Modelling | BAYESIAN P-NETS | Projekt |... Network modelling is quickly gaining ground as a promising way to understand psychological phenomena. The rise of network analysis can be observed throughout... a newnetwork modellingbayesianfoundation https://repository.tudelft.nl/record/uuid:6ceede46-5212-42ce-a07e-71c364a728fb A Bayesian network approach to modelling rip-current drownings and shore-break wave injuries | TU... https://ideas.repec.org/p/hhs/oruesi/2021_009.html Modelling the Relation between the US Real Economy and the Corporate Bond-Yield Spread in Bayesian... Downloadable! In this paper we analyze how skewness and heavy tails a ect the estimated relationship between the real economy and the corporate bond-yield... https://dukespace.lib.duke.edu/items/d9895569-4e22-465e-8d61-ab842d14702d Bayesian multi- and matrix-variate modelling: Graphical models and time series graphical modelsbayesianmultimatrixvariate https://scholars.duke.edu/publication/922638 Scholars@Duke publication: Modelling and robustness issues in Bayesian time series analysis https://researchportalplus.anu.edu.au/en/publications/bayesian-spatial-modelling-of-early-childhood-development-in-aust/ Bayesian spatial modelling of early childhood development in Australian regions - The Australian... early childhood developmentbayesianspatialmodelling https://scholarsarchive.byu.edu/iemssconference/2014/Stream-A/37/ BYU ScholarsArchive - International Congress on Environmental Modelling and Software: A Bayesian... This paper proposes a framework for assimilating urban temperature measurements with simulations of an urban micrometeorological model. Data assimilation, a... international congressenvironmental modellingbyu https://openresearch-repository.anu.edu.au/items/37755b7f-7165-44d7-bd37-ac3de00e8b4d/full Good Practice in Bayesian Network Modelling Bayesian networks (BNs) are increasingly used to model environmental systems, in order to: integrate multiple issues and system components; utilise information... good practicebayesiannetworkmodelling https://www.scirp.org/journal/paperinformation?paperid=90046 Bayesian Joint Modelling of Survival Time and Longitudinal CD4 Cell Counts Using Accelerated... Survival of HIV/AIDS patients is crucially dependent on comprehensive and targeted medical interventions such as supply of antiretroviral therapy and... https://pmc.ncbi.nlm.nih.gov/articles/PMC10339766/ Probabilistic graphical modelling using Bayesian networks for predicting clinical outcome after... Probabilistic graphical modelling (PGM) can be used to predict risk at the individual patient level and show multiple outcomes and exposures in a single model.... bayesian networksclinical outcomeprobabilisticgraphicalmodelling https://tr.soe.ucsc.edu/research/technical-reports/UCSC-SOE-12-02 UCSC-SOE-12-02: Flexible Bayesian modelling for clustered categorical responses in developmental...