Search results

| title = Comparison of Bayesian and frequentist methods for prevalence estimation under misclassification [[Category:American statisticians]] ...

...[[epidemiology]], [[image analysis]] and [[agricultural science]]), and [[Bayesian inference]] (including [[Markov chain Monte Carlo]] algorithms). ...= J. | last2 = York | first2 = J. | last3 = Mollié | first3 = A. | title = Bayesian image restoration, with two applications in spatial statistics | journal = ...

{{about|the application of [[Bayes' theorem]] in marketing|other uses|Bayesian inference}} .... The communication between marketer and market can be seen as a form of [[Bayesian persuasion]]. ...

|title = Bayesian reasoning in science ...f><ref name="Bissell96">{{cite journal | last1=Bissell | first1=D. | title=Statisticians have a Word for it | journal=Teaching Statistics | volume=18 | issue=3 | pa ...

...s always exist to randomised Bayes rules, randomisation is not needed in [[Bayesian statistics]], although [[frequentist statistics|frequentist]] statistical t ...es rules always have nonrandomised alternatives, they are unnecessary in [[Bayesian statistics]]. However, in frequentist statistics, randomised rules are theo ...

...=Storey|first=John D.|date=2003|title=The positive false discovery rate: a Bayesian interpretation and the q-value|journal=The Annals of Statistics|volume=31|i ...o |date=2014|work=Nature|access-date=5 March 2019}}</ref> Since the 1950s, statisticians had been developing methods for multiple comparisons that reduced the numbe ...

...s zero, and this property is considered undesirable by most physicists and statisticians.<ref> {{cite journal |author=Mark Mandelkern |title=Setting Confidence Inte ...d as Inference Theory; with a Criticism of the Lindley-Savage Argument for Bayesian Theory |journal=Synthese |year=1977 |pages=19–49 |url=http://philpapers.org ...

...98studies">J. D. Scargle. Studies in astronomical time series analysis. v. bayesian blocks, a new method to analyze structure in photon counting data. ''The As ...6 }}</ref> In the field of [[teletraffic engineering]], mathematicians and statisticians studied and used Poisson and other point processes.<ref name="haugen1995lif ...

=== Bayesian explanation === In the framework of Bayesian probability, by [[Bayes' theorem]], rejecting the null hypothesis at signif ...

{{term|[[Bayesian programming]]}} ...