The BIC was developed by Gideon E. Schwarz, who gave a Bayesian argument for adopting it.
Bayesian approach to multivariate linear regression, i.e. linear regression where the predicted outcome is a vector of correlated random variables rather than a single scalar random variable.
Bayesian statistics | Bayesian | Bayesian inference | Bayesian network | Variational Bayesian methods | variational Bayesian methods | Recursive Bayesian estimation | #Bayesian statistics | Bayesian information criterion | Bayesian filtering | Approximate Bayesian Computation | Approximate Bayesian computation |
Applications which make use of Bayesian inference for spam filtering include CRM114, DSPAM, Bogofilter, SpamAssassin, SpamBayes, and Mozilla.
Bayesian inference has experienced spikes in popularity as it has been seen as vague and controversial by rival frequentist statisticians.
Apart from the USS Scorpion, other vessels located by Bayesian search theory include the MV Derbyshire, the largest British vessel ever lost at sea, and the SS Central America.
A full Bayesian estimation approach has been used with MCMC sampling implemented in WinBugs with non-informative priors for the regression parameters.
#Bayesian Journey-to-crime which is an empirical Bayes method that integrates the Journey-to-crime estimate with information on the residence location of other serial offenders who committed crimes in the same places to produce an updated estimate.
In his first book, Hume, Holism, and Miracles, Johnson purports to have refuted David Hume's popular argument for the irrationality of belief in testimony of miracles (as can be found in his essay entitled "Of Miracles") as well as several reconstructions of Hume's argument (most notably that of Bayesian philosopher Jordan Howard Sobel).
Stephan Hartmann (Bayesian epistemology, probability, collective decision-making, etc.)
During a joint appointment at the California Environmental Protection Agency and at the Lawrence Berkeley National Laboratory he developed, in collaboration with Andrew Gelman, the application of Bayesian numerical approaches to multilevel PBPK models.
Michael A. Bailey used a slightly different Markov chain Monte Carlo Bayesian method to determine ideological leanings and made significantly different scaling assumptions.
programme in Statistics The main areas of research are sample surveys, design of experiment, statistical inference, Bayesian Inference, Population studies, Biostatistics, Econometric, Data mining, Operation research, marketing and business Statistics.
José-Miguel Bernardo, Bayesian statistician and scientific advisor to the regional government of Valencia, Spain.
It also provides the functions expected of a modern scripting language, including support for regular expressions, XML, Unicode (UTF-8), TCP/IP and UDP networking, matrix and array processing, advanced math, statistics and Bayesian statistical analysis, financial mathematics, and distributed computing support.
Variational Bayesian methods, a family of techniques for approximating integrals in Bayesian inference and machine learning
Kalman filter: an optimal recursive Bayesian filter for linear functions subjected to Gaussian noise.