Richard Samworth

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11Discussion of Multiscale Change Point Inference by Frick, Munk and Sieling Yining Chen, Rajen D. Shah and Richard J. Samworth† University of Cambridge, UK We congratulate the authors for their stimulating paper; our c

Discussion of Multiscale Change Point Inference by Frick, Munk and Sieling Yining Chen, Rajen D. Shah and Richard J. Samworth† University of Cambridge, UK We congratulate the authors for their stimulating paper; our c

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Source URL: www.statslab.cam.ac.uk

Language: English - Date: 2015-01-12 12:50:51
    12VARIABLE SELECTION WITH ERROR CONTROL: A NOTHER LOOK AT S TABILITY S ELECTION Richard Samworth University of Cambridge Joint work with Rajen Shah

    VARIABLE SELECTION WITH ERROR CONTROL: A NOTHER LOOK AT S TABILITY S ELECTION Richard Samworth University of Cambridge Joint work with Rajen Shah

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    Language: English - Date: 2012-09-21 14:14:00
      13Stochastic Search for Semiparametric Linear Regression Models Lutz D¨umbgen∗ (University of Bern) Richard J. Samworth† (University of Cambridge) Dominic Schuhmacher∗ (University of Bern) June 2011, revised October

      Stochastic Search for Semiparametric Linear Regression Models Lutz D¨umbgen∗ (University of Bern) Richard J. Samworth† (University of Cambridge) Dominic Schuhmacher∗ (University of Bern) June 2011, revised October

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      Language: English - Date: 2011-10-10 11:17:06
        14J. R. Statist. Soc. B, Part 1, pp. 55–80 Variable selection with error control: another look at stability selection Rajen D. Shah and Richard J. Samworth

        J. R. Statist. Soc. B, Part 1, pp. 55–80 Variable selection with error control: another look at stability selection Rajen D. Shah and Richard J. Samworth

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        Source URL: www.statslab.cam.ac.uk

        Language: English - Date: 2012-12-20 09:22:35
          15Central Limit Theorem and convergence to stable laws in Mallows distance Oliver Johnson and Richard Samworth Statistical Laboratory, University of Cambridge, Wilberforce Road, Cambridge, CB3 0WB, UK. October 3, 2005

          Central Limit Theorem and convergence to stable laws in Mallows distance Oliver Johnson and Richard Samworth Statistical Laboratory, University of Cambridge, Wilberforce Road, Cambridge, CB3 0WB, UK. October 3, 2005

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          Source URL: www.statslab.cam.ac.uk

          Language: English - Date: 2005-10-03 05:26:11
            16Theoretical properties of the log-concave maximum likelihood estiamtor of a multidimensional density Richard Samworth (joint work with Madeleine Cule) Shape-constrained density estimation in general, and log-concave dens

            Theoretical properties of the log-concave maximum likelihood estiamtor of a multidimensional density Richard Samworth (joint work with Madeleine Cule) Shape-constrained density estimation in general, and log-concave dens

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            Source URL: www.statslab.cam.ac.uk

            Language: English - Date: 2010-12-18 15:15:55
              17J. R. Statist. Soc. B, Part 3, pp. 343–361 Small confidence sets for the mean of a spherically symmetric distribution Richard Samworth

              J. R. Statist. Soc. B, Part 3, pp. 343–361 Small confidence sets for the mean of a spherically symmetric distribution Richard Samworth

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              Language: English - Date: 2005-06-01 05:54:10
                18Maximum likelihood estimation of a multidimensional logconcave density Madeleine Cule and Richard Samworth† University of Cambridge, UK and Michael Stewart University of Sydney, Australia

                Maximum likelihood estimation of a multidimensional logconcave density Madeleine Cule and Richard Samworth† University of Cambridge, UK and Michael Stewart University of Sydney, Australia

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                Source URL: www.statslab.cam.ac.uk

                Language: English - Date: 2010-03-24 15:09:34
                  19Submitted to the Annals of Statistics arXiv: arXiv:SUPPLEMENT TO “OPTIMAL WEIGHTED NEAREST NEIGHBOUR CLASSIFIERS” By Richard J. Samworth,

                  Submitted to the Annals of Statistics arXiv: arXiv:SUPPLEMENT TO “OPTIMAL WEIGHTED NEAREST NEIGHBOUR CLASSIFIERS” By Richard J. Samworth,

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                  Source URL: www.statslab.cam.ac.uk

                  Language: English - Date: 2012-09-11 14:53:50
                    20References, 581 Notes Chapter 4, Section 5: EM References Boyles, R. A[removed]On the convergence of the EM algorithm. J. Roy. Statist. Soc. Ser. B 45 47–50. Dempster, A. P., Laird, N. M. and Rubin, D. B[removed]Maxi

                    References, 581 Notes Chapter 4, Section 5: EM References Boyles, R. A[removed]On the convergence of the EM algorithm. J. Roy. Statist. Soc. Ser. B 45 47–50. Dempster, A. P., Laird, N. M. and Rubin, D. B[removed]Maxi

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                    Source URL: www.stat.washington.edu

                    Language: English - Date: 2015-01-07 13:16:23