Data Analysis A Bayesian Tutorial

2016

335 citations recorded by the source corpus.

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Subfields: Control and Systems Engineering, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/80f2891baf14dd64ebc360755af0dc7134272d02

Citations in the corpus

• A NICER View of the Massive Pulsar PSR J0740+6620 Informed by Radio Timing and XMM-Newton Spectroscopy (2021, neutral): “…distance likelihood information derives from the Shklovskii effect which effectively truncates the PDF, putting an upper limit on the distance (Shklovskii 1970); such truncation however occurs well into the tail of the NANOGrav × CHIME/Pulsar distance distribution, so it is also an…”
• Methods for the integration of multi-omics data: mathematical aspects (2016, neutral): “The second criterion is whether the approach is bayesian (BY) [6], that is, it uses a statistical model in which, starting from an a priori reasonable assumption about the data probability distribution, parametric or non-parametric , it is possible to compute the updated posterior probability…”
• polychord: nested sampling for cosmology (2015, neutral): “In order to perform model comparison, one must calculate the evidence ; a high-dimensional integration of the likelihood over the prior density (Sivia & Skilling 2006).”
• Bayesian inference of chemical kinetic models from proposed reactions (2015, positive): “It is important at this stage to distinguish model inference from the common practice of model reduction in chemical kinetics (Bhattacharjee et al., 2003; Oluwole et al., 2006).”
• dynesty: a dynamic nested sampling package for estimating Bayesian posteriors and evidences (2019, neutral): “While MCMC has had substantial success over the past few decades (Brooks et al. 2011; Sharma 2017), the most common implementations (e.g., Plummer 2003; Foreman-Mackey et al. 2013; Carpenter et al. 2017) tend to struggle when the posterior is comprised of widely-separated modes.”
• Retrieving Temperatures and Abundances of Exoplanet Atmospheres with High-resolution Cross-correlation Spectroscopy (2018, positive): “The Bayesian Estimator: Cross-Correlation to Log-Likelihood Mapping Bayesian estimation necessarily requires a well defined likelihood function (Gregory 2005; Sivia & Skilling 2006).”