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...aul |first1=Anita |last2=Tipping |first2=Michael |title=Analysis of Sparse Bayesian Learning |journal=Advances in Neural Information Processing Systems |date=2 Compared to that of [[support vector machine]]s (SVM), the Bayesian formulation of the RVM avoids the set of free parameters of the SVM (that u ...

...e|first1=J|last2=Derrick|first2=B|title= Preliminary testing: The devil of statistics?|journal= Reinvention: An International Journal of Undergraduate Research | The term "nonparametric statistics" has been defined imprecisely in the following two ways, among others: ...

...Statistics|the 2009 episode of the US TV series Community|Introduction to Statistics (Community)}} {{Short description|1=Overview of and topical guide to statistics}} ...

...and [[change detection]]. He has also worked with [[spatial statistics]], statistics of [[remote sensing]], [[pattern recognition]], etc. ...scientific advisory board of the Centre for Innovation [[Arnoldo Frigessi|Statistics for Innovation]], and has also been involved with the [[Odd Aalen|Centre fo ...

{{Short description|Bayesian statistical inference method in which the prior distribution is estimated f {{Bayesian statistics}} ...

{{Short description|Interval bounded by an upper and a lower limit statistics}} In [[statistics]], '''interval estimation''' is the use of [[Sample (statistics)|sample data]] to [[estimation|estimate]] an ''[[interval (mathematics)|int ...

...software alternative to IBM [[SPSS]] Statistics with additional option for Bayesian methods * [[Just another Gibbs sampler]] (JAGS) – a program for analyzing Bayesian hierarchical models using [[Markov chain Monte Carlo]] developed by Martyn ...

{{unsolved|statistics|Is an approximation analogous to Fisher's argument necessary to solve the B In [[statistics]], the '''Behrens–Fisher problem''', named after [[Walter-Ulrich Behrens]] ...

In [[statistics]] and [[numerical analysis]], '''isotonic regression''' or '''[[monotonic]] ...gression: Point and Interval Estimation for Dose-Response Studies |journal=Statistics in Biopharmaceutical Research |year=2017 |volume=9 |issue=3 |pages=258–267 ...

...set of [[statistical assumptions]] concerning the generation of [[Sample (statistics)|sample data]] (and similar data from a larger [[Statistical population|pop * In [[Bayesian statistics]], the model is extended by adding a probability distribution over the para ...

...applications to Bayesian nonparametric problems | journal = The Annals of Statistics| volume = 2 | issue = 6 | pages = 1152–1174 | doi = 10.1214/aos/1176342871 ...tp://projecteuclid.org/download/pdfview_1/euclid.ba/1409921112 | journal = Bayesian Analysis | volume = 9 | issue = 3| pages = 733–758 | doi=10.1214/14-ba871| ...

In [[statistics]], a '''probit model''' is a type of [[regression analysis|regression]] whe ...consistent estimator|consistent]], asymptotically normal and [[Efficiency (statistics)|efficient]] provided that <math> ...

...e.g. to [[normality test|test for normality]] of [[Errors and residuals in statistics|residual]]s, to test whether two samples are drawn from identical distribut *[[Bayesian information criterion]] ...

{{Short description|Technique in statistics}} ...hniques of [[differential geometry]] to study [[probability theory]] and [[statistics]].<ref>{{cite journal | first=Frank | last= Nielsen | ...

This is a list of '''publications''' in [[statistics]], organized by field. ...cantly influenced the world or has had a massive impact on the teaching of statistics.<!-- The text of this lead section was substituted into this page from [[Te ...

...t, the theory also provides a formal framework for models used in [[robust statistics]]<ref name="RIOS2000">{{Cite book | title = Robust Bayesian Analysis ...

...'''sufficiency''' is a property of a [[statistic]] computed on a [[Sample (statistics)|sample dataset]] in relation to a parametric model of the dataset. A suffi ...igler |date=December 1973 |title=Studies in the History of Probability and Statistics. XXXII: Laplace, Fisher and the Discovery of the Concept of Sufficiency |jo ...

...terms and concepts used in the [[mathematics|mathematical]] sciences of [[statistics]] and [[probability]], their sub-disciplines, and related fields. For addit {{term|[[Bayesian inference]]}} ...

{{redirect-distinguish|Collinearity (statistics)|Collinearity (geometry)}} In [[statistics]], '''multicollinearity''' or '''collinearity''' is a situation where the [ ...

{{Expert needed|statistics|date=April 2025|reason= This article may be too technical for most readers In [[statistics]], a '''confidence interval''' ('''CI''') is a range of values used to esti ...