Results 21 to 30 of about 527,420 (298)
Full Bayesian wavelet inference with a nonparametric prior [PDF]
, 2012 In this paper,we introduce a new Bayesian nonparametric model for estimating an unknown function in the presence of Gaussian noise.The proposed model involves a mixture of a point mass and an arbitrary (nonparametric) symmetric and unimodal distribution
Wang, Xue, Walker, Stephen G.
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Nonparametric Bayesian hazard rate models based on penalized splines [PDF]
, 2003 Extensions of the traditional Cox proportional hazard model, concerning the following features are often desirable in applications: Simultaneous nonparametric estimation of baseline hazard and usual fixed covariate effects, modelling and detection of ...
Fahrmeir, Ludwig, Hennerfeind, Andrea
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Bayesian Nonparametric Bandits
The Annals of Statistics, 1985 A finite number (n) of selections are to be made from two independent stochastic processes, or ''arms''. The choice of arm at each stage is allowed to depend upon the full history of the process and the aim is to maximise the expectation of the sum of the observations. One arm produces i.i.d.
Clayton, Murray K., Berry, Donald A.
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Bayesian Nonparametric Crowdsourcing
J. Mach. Learn. Res., 2014 Crowdsourcing has been proven to be an effective and efficient tool to annotate large datasets. User annotations are often noisy, so methods to combine the annotations to produce reliable estimates of the ground truth are necessary. We claim that considering the existence of clusters of users in this combination step can improve the performance.
Moreno, P +3 more
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Bayesian nonparametrics for directional statistics [PDF]
Journal of Statistical Planning and Inference, 2022 We introduce a density basis of the trigonometric polynomials that is suitable to mixture modelling. Statistical and geometric properties are derived, suggesting it as a circular analogue to the Bernstein polynomial densities. Nonparametric priors are constructed using this basis and a simulation study shows that the use of the resulting Bayes ...
Binette, Olivier, Guillotte, Simon
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Energy Reports, 2021 This paper presents a set of nonparametric methods for selecting credit evaluation indicators under the condition of unknown index distribution, and applies the data of four power companies as samples for application analysis.
Daobo Yan +9 more
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On some recent advances on high dimensional Bayesian statistics
ESAIM: Proceedings and Surveys, 2015 This paper proposes to review some recent developments in Bayesian statistics for high dimensional data. After giving some brief motivations in a short introduction, we describe new advances in the understanding of Bayes posterior ...
Chopin Nicolas +4 more
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Nonparametric Bayesian inference in applications
Statistical Methods & Applications, 2017 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Müeller, Peter +2 more
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Nonparametric Bayesian inference for multidimensional compound Poisson processes
Modern Stochastics: Theory and Applications, 2015 Given a sample from a discretely observed multidimensional compound Poisson process, we study the problem of nonparametric estimation of its jump size density $r_{0}$ and intensity $\lambda _{0}$.
Shota Gugushvili +2 more
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spBayesSurv: Fitting Bayesian Spatial Survival Models Using R
Journal of Statistical Software, 2020 Spatial survival analysis has received a great deal of attention over the last 20 years due to the important role that geographical information can play in predicting survival.
Haiming Zhou +2 more
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