Conference
Bayesian Inference for the Intrinsic Dimension
| العنوان: | Bayesian Inference for the Intrinsic Dimension |
|---|---|
| المؤلفون: | BRUTTI, Pierpaolo, LANTERI, ALESSANDRO, RICCIUTI, COSTANTINO |
| المساهمون: | Editors: S. Cabras, T. Di Battista and W. Racugno, Brutti, Pierpaolo, Lanteri, Alessandro, Ricciuti, Costantino |
| بيانات النشر: | CUEC Cooperativa Universitaria Editrice Cagliaritana Cagliari |
| سنة النشر: | 2014 |
| المجموعة: | Sapienza Università di Roma: CINECA IRIS |
| مصطلحات موضوعية: | intrinsic dimension, intractable likelihood, composite marginal likelihood, bayesian inference |
| الوصف: | In this work we propose a new Bayesian method for making in- ference on the intrinsic dimension of point cloud data sampled from a low– dimensional structure embedded in a high–dimensional ambient space. The basic ingredient of our Bayesian recipe is a composite marginal likelihood built under working independence assumptions, that was suggested by MacKay and Ghahramani [6] to improve on an earlier proposal based on local Poisson process approximations (see [5]). In order to get a posterior with approximately correct asymptotic behavior and curvature, we calibrate this pseudolikelihood as in [8] and then compare in simulated and real exam- ples a standard MCMC method against a variation of the default Bayesian framework described in [12]. |
| نوع الوثيقة: | conference object |
| وصف الملف: | ELETTRONICO |
| اللغة: | English |
| Relation: | info:eu-repo/semantics/altIdentifier/isbn/9788884678744; ispartofbook:47th SIS Scientific Meeting of the Italian Statistica Society; 47th SIS Scientific Meeting of the Italian Statistica Society; firstpage:1; lastpage:6; numberofpages:6; http://hdl.handle.net/11573/657342 |
| الاتاحة: | http://hdl.handle.net/11573/657342 |
| Rights: | info:eu-repo/semantics/openAccess |
| رقم الانضمام: | edsbas.94406AAA |
| قاعدة البيانات: | BASE |
| الوصف غير متاح. |