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Richard Samworth
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11	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 Add to Reading List Source URL: www.statslab.cam.ac.uk Language: English - Date: 2015-01-12 12:50:51
12	VARIABLE SELECTION WITH ERROR CONTROL: A NOTHER LOOK AT S TABILITY S ELECTION Richard Samworth University of Cambridge Joint work with Rajen Shah Add to Reading List Source URL: www.statslab.cam.ac.uk Language: English - Date: 2012-09-21 14:14:00
13	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 Add to Reading List Source URL: www.statslab.cam.ac.uk Language: English - Date: 2011-10-10 11:17:06
14	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 Add to Reading List Source URL: www.statslab.cam.ac.uk Language: English - Date: 2012-12-20 09:22:35
15	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 Add to Reading List Source URL: www.statslab.cam.ac.uk Language: English - Date: 2005-10-03 05:26:11
16	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 Add to Reading List Source URL: www.statslab.cam.ac.uk Language: English - Date: 2010-12-18 15:15:55
17	J. R. Statist. Soc. B, Part 3, pp. 343–361 Small confidence sets for the mean of a spherically symmetric distribution Richard Samworth Add to Reading List Source URL: www.statslab.cam.ac.uk Language: English - Date: 2005-06-01 05:54:10
18	Maximum likelihood estimation of a multidimensional logconcave density Madeleine Cule and Richard Samworth† University of Cambridge, UK and Michael Stewart University of Sydney, Australia Add to Reading List Source URL: www.statslab.cam.ac.uk Language: English - Date: 2010-03-24 15:09:34
19	Submitted to the Annals of Statistics arXiv: arXiv:SUPPLEMENT TO “OPTIMAL WEIGHTED NEAREST NEIGHBOUR CLASSIFIERS” By Richard J. Samworth, Add to Reading List Source URL: www.statslab.cam.ac.uk Language: English - Date: 2012-09-11 14:53:50
20	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 Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2015-01-07 13:16:23 Missing data Statistical theory Maximum likelihood Statistical inference Richard Samworth Statistics Estimation theory Expectation–maximization algorithm

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