Density estimation

Results: 386



#Item
31Local bandwidth selectors for deconvolution kernel density estimation Achilleas Achilleos 1 2

Local bandwidth selectors for deconvolution kernel density estimation Achilleas Achilleos 1 2

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Source URL: www.ms.unimelb.edu.au

Language: English - Date: 2011-03-11 23:17:28
    32SSS10 Proceedings of the 10th International Space Syntax Symposium  035 Distribution of shoppers in multi-layered shopping complex: Estimation of shopper density considering escalators,

    SSS10 Proceedings of the 10th International Space Syntax Symposium 035 Distribution of shoppers in multi-layered shopping complex: Estimation of shopper density considering escalators,

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    Source URL: www.sss10.bartlett.ucl.ac.uk

    Language: English - Date: 2015-07-20 13:12:21
      33Dynamic density estimation with diffusive Dirichlet mixtures ´s H. Mena Ramse UNAM, Mexico Matteo Ruggiero∗

      Dynamic density estimation with diffusive Dirichlet mixtures ´s H. Mena Ramse UNAM, Mexico Matteo Ruggiero∗

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      Source URL: www.matteoruggiero.it

      Language: English - Date: 2015-02-19 06:56:03
        34Hierarchical Maximum Entropy Density Estimation  Miroslav Dud´ık MDUDIK @ CS . PRINCETON . EDU David M. Blei BLEI @ CS . PRINCETON . EDU

        Hierarchical Maximum Entropy Density Estimation Miroslav Dud´ık MDUDIK @ CS . PRINCETON . EDU David M. Blei BLEI @ CS . PRINCETON . EDU

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        Source URL: rob.schapire.net

        Language: English - Date: 2015-07-13 19:42:40
          35Nonparametric Kernel Density Estimation Near the Boundary

          Nonparametric Kernel Density Estimation Near the Boundary

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          Source URL: www.ewifo.uni-hannover.de

          Language: English - Date: 2015-03-10 04:16:01
            36Appearing in Proceedings of the 17th Annual Conference on Computational Learning Theory, Performance Guarantees for Regularized Maximum Entropy Density Estimation Miroslav Dud´ık1 , Steven J. Phillips2 , and Rob

            Appearing in Proceedings of the 17th Annual Conference on Computational Learning Theory, Performance Guarantees for Regularized Maximum Entropy Density Estimation Miroslav Dud´ık1 , Steven J. Phillips2 , and Rob

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            Source URL: rob.schapire.net

            Language: English - Date: 2015-07-13 19:42:58
              37Practical bandwidth selection in deconvolution kernel density estimation A. Delaigle and I. Gijbels ∗ Institut de Statistique, Universit´e catholique de Louvain, 20 Voie du Roman Pays, Louvain-la-Neuve, Belgium.

              Practical bandwidth selection in deconvolution kernel density estimation A. Delaigle and I. Gijbels ∗ Institut de Statistique, Universit´e catholique de Louvain, 20 Voie du Roman Pays, Louvain-la-Neuve, Belgium.

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              Source URL: www.ms.unimelb.edu.au

              Language: English - Date: 2009-11-25 00:29:28
                38Parametrically assisted nonparametric estimation of a density in the deconvolution problem Aurore Delaigle and Peter Hall Department of Mathematics and Statistics, University of Melbourne, Australia Abstract: Nonparametr

                Parametrically assisted nonparametric estimation of a density in the deconvolution problem Aurore Delaigle and Peter Hall Department of Mathematics and Statistics, University of Melbourne, Australia Abstract: Nonparametr

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                Source URL: www.ms.unimelb.edu.au

                Language: English - Date: 2013-10-16 22:45:52
                  39On Consistency of Nonparametric Normal Mixtures for Bayesian Density Estimation Antonio L IJOI, Igor P RÜNSTER, and Stephen G. WALKER The past decade has seen a remarkable development in the area of Bayesian nonparametr

                  On Consistency of Nonparametric Normal Mixtures for Bayesian Density Estimation Antonio L IJOI, Igor P RÜNSTER, and Stephen G. WALKER The past decade has seen a remarkable development in the area of Bayesian nonparametr

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                  Source URL: economia.unipv.it

                  Language: English - Date: 2011-10-12 03:44:58
                    40Scalable geometric density estimation  Ye Wang Dept. of Statistics Duke University

                    Scalable geometric density estimation Ye Wang Dept. of Statistics Duke University

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                    Source URL: jmlr.org

                    Language: English - Date: 2016-06-06 23:29:36