BEAST 2.5: An advanced software platform for Bayesian evolutionary analysis
Elaboration of Bayesian phylogenetic inference methods has continued at pace in recent years with major new advances in nearly all aspects of the joint modelling of evolutionary data.
R. Bouckaert +24 more
semanticscholar +1 more source
Bayesian Analysis of Tests with Unknown Specificity and Sensitivity
When testing for a rare disease, prevalence estimates can be highly sensitive to uncertainty in the specificity and sensitivity of the test. Bayesian inference is a natural way to propagate these uncertainties, with hierarchical modelling capturing ...
A. Gelman, B. Carpenter
semanticscholar +1 more source
Spatial patterns and determinants of fertility levels among women of childbearing age in Nigeria
Background: Despite aggressive measures to control the population in Nigeria, the population of Nigeria still remains worrisome. Increased birth rates have significantly contributed to Nigeria being referred to as the most populous country in Africa ...
Oluwayemisi O Alaba +2 more
doaj +1 more source
Chronological relationship between the fortified settlement of Kamennyi Ambar and the Kamennyi Ambar-5 cemetery in the Southern Trans-Urals: capabilities of the Bayesian statistics [PDF]
By means of the Bayesian analysis of radiocarbon dates, a comparison of chronologies of the Kamennyi Ambar settlement and the cemetery of Kamennyi Ambar-5 of the Late Bronze Age Syntashta-Petrovka period has been carried out.
Chechushkov I.V., Epimakhov A.V.
doaj +1 more source
A posterior probability approach for gene regulatory network inference in genetic perturbation data
Inferring gene regulatory networks is an important problem in systems biology. However, these networks can be hard to infer from experimental data because of the inherent variability in biological data as well as the large number of genes involved. We
William Chad Young +2 more
doaj +1 more source
Indexing Inefficacy of Efforts to Stop Escalation of COVID Mortality
Background: COVID-19 efforts were often ineffective in controlling the spread of the pandemic. Thus, identifying ineffective controls during a pandemic is vital.
Ramalingam Shanmugam +3 more
doaj +1 more source
Schizophrenia is a debilitating serious mental illness characterized by a complex array of symptoms with varying severity and duration. Patients may seek treatment only intermittently, contributing to challenges diagnosing the disorder.
Eileen M. Stock +4 more
doaj +1 more source
The JASP guidelines for conducting and reporting a Bayesian analysis
Despite the increasing popularity of Bayesian inference in empirical research, few practical guidelines provide detailed recommendations for how to apply Bayesian procedures and interpret the results.
Johnny B van Doorn +19 more
semanticscholar +1 more source
scCODA is a Bayesian model for compositional single-cell data analysis
Compositional changes of cell types are main drivers of biological processes. Their detection through single-cell experiments is difficult due to the compositionality of the data and low sample sizes.
M. Büttner +4 more
semanticscholar +1 more source
Bayesian correction for covariate measurement error: a frequentist evaluation and comparison with regression calibration [PDF]
Bayesian approaches for handling covariate measurement error are well established, and yet arguably are still relatively little used by researchers. For some this is likely due to unfamiliarity or disagreement with the Bayesian inferential paradigm.
Bartlett, Jonathan W., Keogh, Ruth H.
core +2 more sources

