https://ideas.repec.org/a/bla/jecsur/v18y2004i2p153-180.html
Returns to Schooling and Bayesian Model Averaging: A Union of Two Literatures
Downloadable! . In this paper, we review and unite the literatures on returns to schooling and Bayesian model averaging. We observe that most studies seeking...
bayesian model averaging
https://www.frontiersin.org/journals/plant-science/articles/10.3389/fpls.2023.1117498/full
Frontiers | A Bayesian model for control strategy selection against Plasmopara viticola infections
Plant pathogens pose a persistent threat to grape production, causing significant economiclosses if disease management strategies are not carefully planned a...
bayesian modelcontrol strategy
https://www.southampton.ac.uk/s3ri/research/projects/bayesian_model_determination.page
Bayesian model determination | Southampton Statistical Sciences Research Institute | University of...
bayesian modelstatistical sciencesresearch institutedeterminationsouthampton
https://www.scirp.org/journal/articles?searchcode=Non-Negative+Matrix+Factorization%3B+Bayesian+Model%3B+Rank+Determination%3B+Probabilistic+Model&searchfield=keyword&page=1
Non-Negative Matrix Factorization; Bayesian Model; Rank Determination; Probabilistic Model -...
Non-Negative Matrix Factorization; Bayesian Model; Rank Determination; Probabilistic Model
non negative matrixbayesian modelfactorizationrankdetermination
https://jmlr.org/papers/v24/21-1276.html
Escaping The Curse of Dimensionality in Bayesian Model-Based Clustering
the curse ofbayesian modelescapingdimensionalitybased
https://www.frontiersin.org/journals/pharmacology/articles/10.3389/fphar.2023.1118771/full
Frontiers | Bayesian model-guided antimicrobial therapy in pediatrics
Antimicrobials have transformed the practice of medicine, making life-threatening infections treatable, but determining optimal dosing, particularly in pedia...
bayesian modelantimicrobial therapyfrontiersguidedpediatrics
https://www.econstor.eu/handle/10419/71846
EconStor: Forecast combination and Bayesian model averaging: A prior sensitivity analysis
EconStor is a publication server for scholarly economic literature, provided as a non-commercial public service by the ZBW.
bayesian model averagingeconstorforecastcombination
https://aclanthology.org/E14-1006/
A Hierarchical Bayesian Model for Unsupervised Induction of Script Knowledge - ACL Anthology
Lea Frermann, Ivan Titov, Manfred Pinkal. Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics. 2014.
hierarchical bayesian model
https://www.econstor.eu/handle/10419/244580
EconStor: Bayesian Model Selection for Small Datasets of Measurement Results
EconStor is a publication server for scholarly economic literature, provided as a non-commercial public service by the ZBW.
bayesian model selectioneconstorsmalldatasetsmeasurement
https://openreview.net/forum?id=dNqxZgyjcYA
Conservative Bayesian Model-Based Value Expansion for Offline Policy Optimization | OpenReview
Offline reinforcement learning (RL) addresses the problem of learning a performant policy from a fixed batch of data collected by following some behavior...
bayesian modelconservativebasedvalue
https://www.uber.com/us/en/newsroom/inferring-uber-rider-destinations/
Making a Bayesian Model to Infer Uber Rider Destinations
The #UberData Team works on a prediction model that might tell us where you're trying to ultimately end up, based on where you're dropped off -- and how we...
making abayesian modelinferuberrider
https://jmlr.org/papers/v21/19-123.html
Bayesian Model Selection with Graph Structured Sparsity
bayesian model selectiongraphstructuredsparsity
https://openreview.net/forum?id=XHFfvzlQ1n
Bayesian Machine Scientist for Model Discovery in Psychology | OpenReview
The rapid growth in complex datasets within the field of psychology poses challenges for integrating observations into quantitative models of human information...
bayesianmachinescientistmodeldiscovery
https://www.rti.org/publication/bayesian-hierarchical-model-predict-benthic-oxygen-demand-organic-matter-loading-estuaries-coastal-z
A Bayesian hierarchical model to predict benthic oxygen demand from organic matter loading in...
Ecological models that have a theoretical basis and yet are mathematically simple enough to be parameterized using available data are likely to be the most...
https://www.econstor.eu/handle/10419/247377
EconStor: Scenario Generation for IFRS9 Purposes using a Bayesian MS-VAR Model
EconStor is a publication server for scholarly economic literature, provided as a non-commercial public service by the ZBW.
https://www.oulu.fi/en/theses/dynamic-bayesian-models-and-model-approximation-inverse-problems-applications
Dynamic Bayesian models and model approximation in inverse problems with applications | University...
bayesian models
https://www.scirp.org/journal/paperinformation?paperid=95040
Bayesian Non-Parametric Mixture Model with Application to Modeling Biological Markers
Discover how treatment impacts patient outcomes through the analysis of biological events. Study biomarker changes and clustering across different centers...
non parametricmixture modelbayesian
https://www.scirp.org/journal/paperinformation?paperid=1788
A consistency contribution based bayesian network model for medical diagnosis
Discover an effective Bayesian network model for medical diagnosis. This paper presents a novel feature selection algorithm and integrated methods for enhanced...
bayesian networkconsistencycontributionbasedmodel
https://www.mathworks.com/help/econ/mixconjugateblm.html
mixconjugateblm - Bayesian linear regression model with conjugate priors for stochastic search...
The Bayesian linear regression model object mixconjugateblm specifies the joint prior distribution of the regression coefficients and the disturbance variance...
bayesian linear regressionconjugate priorsmodel
https://arxiv.org/abs/2602.00291
[2602.00291] A Bayesian Prevalence Incidence Cure model for estimating survival using Electronic...
Abstract page for arXiv paper 2602.00291: A Bayesian Prevalence Incidence Cure model for estimating survival using Electronic Health Records with incomplete...
https://www.scirp.org/journal/paperinformation?paperid=66954
Application of a Bayesian Network Complex System Model Examining the Importance of...
Explore the impact of customer-industry engagement on peak energy demand with a Bayesian Network model. Discover how interventions and CIE activities can...
bayesian networkcomplex systemapplication
https://www.usgs.gov/publications/disentangling-density-dependent-dynamics-using-full-annual-cycle-models-and-bayesian
Disentangling density-dependent dynamics using full annual cycle models and Bayesian model weight...
Density dependence regulates populations of many species across all taxonomic groups. Understanding density dependence is vital for predicting the effects of...
https://ideas.repec.org/p/jau/wpaper/2020-25.html
Is there a euro effect in the drivers of US FDI? New evidence using Bayesian Model Averaging...
Downloadable! In this paper we analyze the potential determinants of US outward FDI stock with a particular focus on the euro effect during the period...
https://arxiv.org/abs/2505.17561
[2505.17561] Model Already Knows the Best Noise: Bayesian Active Noise Selection via Attention in...
Abstract page for arXiv paper 2505.17561: Model Already Knows the Best Noise: Bayesian Active Noise Selection via Attention in Video Diffusion Model
https://openreview.net/forum?id=KPLf9FhwEqZ
Model Selection for Bayesian Autoencoders | OpenReview
We develop a novel method for carrying out model selection for Bayesian autoencoders by means of prior hyper-parameter optimization.
model selectionbayesianautoencodersopenreview