http://www.edpsciences.org/ps Contents of the last issue of ESAIM: Probability and Statistics weekly 1 2008-05-07T12:38:40Z EDP Sciences Copyright (c) 2008 Copyright (c) 2008 1262-3318 ESAIM: Probability and Statistics Minimax and bayes estimation in deconvolution problem http://www.edpsciences.org/10.1051/ps:2007038 Author: Mikhail Ermakov<br/>ESAIM: PS 12, 327 (2008) Received September 12, 2007<br/> Keywords: Deconvolution, minimax estimation, Bayes estimation, Wiener filtration Minimax and bayes estimation in deconvolution problem Mikhail Ermakov Deconvolution minimax estimation Bayes estimation Wiener filtration 62G05 65R30 65R32 2008-05-07T12:38:40Z text/html doi:10.1051/ps:2007038 ESAIM: PS 12, 327 abstract 1210163920 ESAIM: Probability and Statistics Article 327 12 Multidimensional limit theorems for smoothed extreme value estimates of point processes boundaries http://www.edpsciences.org/10.1051/ps:2007039 Author: Ludovic Menneteau<br/>ESAIM: PS 12, 273 (2008) Received March 11, 2005. Revised June 26, 2006 and March 26, 2007.<br/> Keywords: Functional estimate, central limit theorem, moderate deviation principles, extreme values, shape estimation Multidimensional limit theorems for smoothed extreme value estimates of point processes boundaries Ludovic Menneteau Functional estimate central limit theorem moderate deviation principles extreme values shape estimation Primary 60G70; Secondary 62M30 62G05 2008-05-07T12:38:40Z text/html doi:10.1051/ps:2007039 ESAIM: PS 12, 273 abstract 1210163920 ESAIM: Probability and Statistics Article 273 12 On EM algorithms and their proximal generalizations http://www.edpsciences.org/10.1051/ps:2007041 Authors: Stéphane Chrétien and Alfred O. Hero <br/>ESAIM: PS 12, 308 (2008) Received June 14, 2007. Revised June 27, 2007.<br/> Keywords: Maximum Likelihood Estimation (MLE), EM algorithm, proximal point algorithm, Karush-Kuhn-Tucker condition, mixture densities, competing risks models On EM algorithms and their proximal generalizations Stéphane Chrétien Alfred O. Hero Maximum Likelihood Estimation (MLE) EM algorithm proximal point algorithm Karush-Kuhn-Tucker condition mixture densities competing risks models 65C20 65C60 2008-05-07T12:38:40Z text/html doi:10.1051/ps:2007041 ESAIM: PS 12, 308 abstract 1210163920 ESAIM: Probability and Statistics Article 308 12 Large population limit and time behaviour of a stochastic particle model describing an age-structured population http://www.edpsciences.org/10.1051/ps:2007052 Author: Viet Chi Tran<br/>ESAIM: PS 12, 345 (2008) Received 12 September, 2007.<br/> Keywords: Age-structured population, interacting measure-valued process, large population approximation, large deviations, exit time estimates, Gurtin-McCamy PDE, extinction time Large population limit and time behaviour of a stochastic particle model describing an age-structured population Viet Chi Tran Age-structured population interacting measure-valued process large population approximation large deviations exit time estimates Gurtin-McCamy PDE extinction time 60J80 60K35 92D25 60F10 2008-05-07T12:38:40Z text/html doi:10.1051/ps:2007052 ESAIM: PS 12, 345 abstract 1210163920 ESAIM: Probability and Statistics Article 345 12