1. Advances in Statistical Machine Learning Methods for Neural Data Science Zhou, Ding 2021 Theses StatisticsNeurosciencesBayesian statistical decision theoryCalcium imaging

2. BAMarray™: Java software for Bayesian analysis of variance for microarray data Ishwaran, Hemant; Rao, J. Sunil; Kogalur, Udaya B. 2006 Articles DNA microarrays--Data processingJava (Computer program language)BioinformaticsBayesian statistical decision theoryStatisticsInformation technology

3. Bayesian Combination of State Polls and Election Forecasts Lock, Kari; Gelman, Andrew E. 2010 Articles Political scienceStatisticsBayesian statistical decision theory

4. Bayesian Modeling Strategies for Complex Data Structures, with Applications to Neuroscience and Medicine Lu, Feihan 2018 Theses StatisticsBayesian statistical decision theoryData structures (Computer science)Neurosciences--Data processingMedicine--Data processing

5. Distributed Bayesian Computation and Self-Organized Learning in Sheets of Spiking Neurons with Local Lateral Inhibition Buesing, Lars; Habenschuss, Stefan; Bill, Johannes; Nessler, Bernhard; Maass, Wolfgang; Legenstein, Robert 2015 Articles NeuroplasticityNeuronsInhibitionBayesian statistical decision theoryNeurosciencesMolecular biologyStatistics

6. Event History Analysis in Multivariate Longitudinal Data Yuan, Chaoyu 2021 Theses StatisticsBayesian statistical decision theoryMarkov processesGaussian processesMedical statisticsMyocardial infarctionLongitudinal studies

7. Fully Bayesian computing Kerman, Jouni; Gelman, Andrew E. 2004 Articles Computer scienceStatisticsBayesian statistical decision theoryObject-oriented programming (Computer science)

8. Modernizing Markov Chains Monte Carlo for Scientific and Bayesian Modeling Margossian, Charles Christopher 2022 Theses StatisticsBayesian statistical decision theoryMarkov processesMonte Carlo method

9. Multiple Causal Inference with Bayesian Factor Models Wang, Yixin 2020 Theses StatisticsInferenceAlgorithms--DesignBayesian statistical decision theory

10. Sampling for Bayesian computation with large datasets Huang, Zaiying; Gelman, Andrew E. 2005 Articles StatisticsBayesian statistical decision theoryCluster analysisMultilevel models (Statistics)

11. Selected Legal Applications for Bayesian Methods Cheng, Edward K. 2018 Theses StatisticsLawBayesian statistical decision theoryLaw--Statistical methods

12. Semiparametric Estimation of a Gaptime-Associated Hazard Function Teravainen, Timothy 2014 Theses Proportional hazards modelsSurvival analysis (Biometry)Bayesian statistical decision theoryStatisticsElectrical engineering

13. The Prior Can Often Only Be Understood in the Context of the Likelihood Gelman, Andrew E.; Simpson, Daniel; Betancourt, Michael Joseph 2017 Articles Bayesian statistical decision theoryDistribution (Probability theory)Statistics

14. Topics in Computational Bayesian Statistics With Applications to Hierarchical Models in Astronomy and Sociology Sahai, Swupnil 2018 Theses StatisticsAstronomySociologyBayesian statistical decision theoryMultilevel models (Statistics)

15. Toward a scalable Bayesian workflow Yao, Yuling 2021 Theses StatisticsBayesian statistical decision theoryBayesian statistical decision theory--Mathematical models

16. Why we (usually) don't have to worry about multiple comparisons Gelman, Andrew E.; Hill, Jennifer; Yajima, Masanao 2009 Articles StatisticsBayesian statistical decision theoryMultilevel models (Statistics)Statistical hypothesis testing