Atelier Sur Les Méthodes Statistiques Computationnelles En Génomique Et En Biologie Systémique 18-22 Avril 2011

Total Page:16

File Type:pdf, Size:1020Kb

Atelier Sur Les Méthodes Statistiques Computationnelles En Génomique Et En Biologie Systémique 18-22 Avril 2011 Atelier sur les méthodes statistiques computationnelles en génomique et en biologie systémique 18-22 avril 2011 Workshop on Computational Statistical Methods for Genomics and Systems Biology April 18-22, 2011 Centre de recherches mathematiques Université de Montréal, Canada Programme préliminaire / Tentative Programme 18 avril / April 18: Population Genetics 09:00-10:00 Registration and Breakfast 10:00-10:15 Welcome 10:15-11:15 Keynote Lecture 11:15-12:00 Invited Lecture 12:00-13:30 Lunch Break 13:30-14:30 Keynote Lecture 14:30-15:00 Coffee Break 15:00-15:45 Invited Lecture 15:45-16:45 Moderated Discussion Keynote Speakers: Peter Donnelly (Oxford University), Matthew Stephens (University of Chicago) Invited Speakers: Mark Beaumont (University of Reading), Vincent Plagnol (University of Cambridge) Discussion Leader: David Balding (University College) 19 avril / April 19: Genetic Epidemiology 09:00-10:00 Keynote Lecture 10:00-10:30 Coffee Break 10:30-11:15 Invited Lecture 2011-02-14 11:15-12:00 Invited Lecture 12:00-13:30 Lunch Break 13:30-14:30 Keynote Lecture 14:30-15:00 Coffee Break 15:00-15:45 Invited Lecture 15:45-16:45 Moderated Discussion 17:00-19:00 Poster Session – Wine and Cheese Reception Keynote Speakers: Shelley Bull (University of Toronto), Elizabeth Thompson (University of Washington) Invited Speakers: Brad McNeney (Simon Fraser University), Mary-Sarah McPeek (University of Chicago), Ken Rice (University of Washington) Discussion Leader: Ellen Wijsman (University of Washington) 20 avril / April 20: Bayesian Methods in Genomics 09:00-10:00 Keynote Lecture 10:00-10:30 Coffee Break 10:30-11:15 Invited Lecture 11:15-12:00 Invited Lecture 12:00-13:30 Lunch Break 13:30-14:30 Keynote Lecture 14:30-15:00 Coffee Break 15:00-15:45 Invited Lecture 15:45-16:45 Moderated Discussion Keynote Speakers: Chris Holmes (Oxford University), Sylvia Richardson (Imperial College) Invited Speakers: Mayetri Gupta (Boston University), Donatello Telesca (University of California, Los Angeles), Jon Wakefield (University of Washington) 2011-02-14 Discussion Leader: Dave Stephens (McGill University) 21 avril / April 21: Microarray Data and Networks 09:00-10:00 Keynote Lecture 10:00-10:30 Coffee Break 10:30-11:15 Invited Lecture 11:15-12:00 Invited Lecture 12:00-13:30 Lunch Break 13:30-14:30 Keynote Lecture 14:30-15:00 Coffee Break 15:00-15:45 Invited Lecture 15:45-16:45 Moderated Discussion Keynote Speakers: Christina Kendziorski (University of Wisconsin), Jun Liu (Harvard University) Invited Speakers: Steve Horvath (University of California, Los Angeles), Michael Newton (University of Wisconsin-Madison), Ingo Ruczinski (Johns Hopkins University) Discussion Leader: Sandrine Dudoit (University of California, Berkeley) 22 avril / April 22: Computationnal Biology and New Technologies 09:00-10:00 Keynote Lecture 10:00-10:30 Coffee Break 10:30-11:15 Invited Lecture 11:15-12:00 Invited Lecture 12:00-13:30 Lunch Break 13:30-14:30 Keynote Lecture 14:30-15:00 Coffee Break 2011-02-14 15:00-15:45 Invited Lecture 15:45-15:50 Final Words Keynote Speakers: Laurent Excoffier (University of Bern), Mark Segal (University of California, San Francisco) Invited Speakers: Jenny Bryan (University of British Columbia), Wolfgang Huber (European Molecular Biology Laboratory), Kun Liang (University of Wisconsin-Madison) 2011-02-14 .
Recommended publications
  • Computational and Financial Econometrics (CFE 2016)
    CFE-CMStatistics 2016 PROGRAMME AND ABSTRACTS 10th International Conference on Computational and Financial Econometrics (CFE 2016) http://www.cfenetwork.org/CFE2016 and 9th International Conference of the ERCIM (European Research Consortium for Informatics and Mathematics) Working Group on Computational and Methodological Statistics (CMStatistics 2016) http://www.cmstatistics.org/CMStatistics2016 Higher Technical School of Engineering, University of Seville, Spain 9 – 11 December 2016 c CFE and CMStatistics networks. All rights reserved. I CFE-CMStatistics 2016 ISBN 978-9963-2227-1-1 c 2016 - CFE and CMStatistics networks Technical Editors: Angela Blanco-Fernandez and Gil Gonzalez-Rodriguez. All rights reserved. No part of this book may be reproduced, stored in a retrieval system, or transmitted, in any other form or by any means without the prior permission from the publisher. II c CFE and CMStatistics networks. All rights reserved. CFE-CMStatistics 2016 International Organizing Committee: Ana Colubi, Stella Hadjiantoni, M. Dolores Jimenez-Gamero, Erricos Kontoghiorghes, George Loizou and Herman Van Dijk. CFE 2016 Co-chairs: Peter Boswijk, Jianqing Fang, Alain Hecq, Michael Smith. CFE 2016 Programme Committee: Alessandra Amendola, Ansgar Belke, Monica Billio, Josep Lluis Carrion-i-Silvestre, Roberto Casarin, Veronika Czellar, Serge Darolles, Manfred Deistler, Jean-David Fermanian, Sylvia Fruehwirth-Schnatter, Marc Hallin, Matthew Harding, Jan Jacobs, Menelaos Karanasos, Daniel Kaufmann, Robert Kunst, Degui Li, Marco Lippi, Zudi Lu, Luis Filipe Martins, Gian Luigi Mazzi, Tucker McElroy, J Isaac Miller, Bent Nielsen, Yasuhiro Omori, Michael Owyang, Gareth Peters, Michael Pitt, Stephen Pollock, Tommaso Proi- etti, Artem Prokhorov, Anders Rahbek, Francesco Ravazzolo, Jeroen Rombouts, Eduardo Rossi, Christos Savva, Willi Semmler, Laura Spierdijk, Giuseppe Storti, Jonathan Stroud, Genaro Sucarrat, Jean-Pierre Ur- bain, Shaun Vahey, Helena Veiga, Carlos Velasco, Helga Wagner, Martin Wagner, Toshiaki Watanabe and Peter Winker.
    [Show full text]
  • Amstat News May 2011 President's Invited Column
    May 2011 • Issue #407 AMSTATNEWS The Membership Magazine of the American Statistical Association • http://magazine.amstat.org Croatia Bosnia Serbia Herzegovina ThroughPeace Statistics ALSO: Meet Susan Boehmer, New IRS Statistics of Income Director Publications Agreement No. 41544521 Mining the Science out of Marketing Math Sciences in 2025 AMSTATNews May 2011 • Issue #407 Executive Director Ron Wasserstein: [email protected] Associate Executive Director and Director of Operations features Stephen Porzio: [email protected] 3 President’s Invited Column Director of Education Martha Aliaga: [email protected] 5 Pfizer Contributes to ASA's Educational Ambassador Program Director of Science Policy 5 TAS Article Cited in Supreme Court Case Steve Pierson: [email protected] 7 Writing Workshop for Junior Researchers to Take Place at JSM Managing Editor Megan Murphy: [email protected] 8 Meet Susan Boehmer, New IRS Statistics of Income Director Production Coordinators/Graphic Designers 10 Peace Through Statistics Melissa Muko: [email protected] 15 Statistics in Biopharmaceutical Research Kathryn Wright: [email protected] May Issue of SBR: A Festschrift for Gary Koch Publications Coordinator Val Nirala: [email protected] 16 Journal of the American Statistical Association March JASA Features ASA President’s Invited Address Advertising Manager Claudine Donovan: [email protected] 19 Technometrics Fingerprint Individuality Assessment Featured in May Issue Contributing Staff Members Pam Craven • Rosanne Desmone • Fay Gallagher • Eric Sampson Amstat News welcomes news items and letters from readers on matters of interest to the association and the profession. Address correspondence to Managing Editor, Amstat News, American Statistical Association, 732 North Washington Street, Alexandria VA 22314-1943 USA, or email amstat@ columns amstat.org.
    [Show full text]
  • STATISTICAL SCIENCE Volume 32, Number 3 August 2017
    STATISTICAL SCIENCE Volume 32, Number 3 August 2017 AParadoxfromRandomization-BasedCausalInference............................Peng Ding 331 UnderstandingDing’sApparentParadox.......Peter M. Aronow and Molly R. Offer-Westort 346 Randomization-BasedTestsfor“NoTreatmentEffects”.......................EunYi Chung 349 InferencefromRandomized(Factorial)Experiments............................R. A. Bailey 352 AnApparentParadoxExplained..................Wen Wei Loh, Thomas S. Richardson and James M. Robins 356 Rejoinder:AParadoxfromRandomization-BasedCausalInference...............Peng Ding 362 LogisticRegression:FromArttoScience.................Dimitris Bertsimas and Angela King 367 PrinciplesofExperimentalDesignforBigDataAnalysis............Christopher C. Drovandi, Christopher C. Holmes, James M. McGree, Kerrie Mengersen, Sylvia Richardson and Elizabeth G. Ryan 385 ImportanceSampling:IntrinsicDimensionandComputationalCost..............S. Agapiou, O. Papaspiliopoulos, D. Sanz-Alonso and A. M. Stuart 405 Estimation of Causal Effects with Multiple Treatments: A Review and New Ideas ...........................................................Michael J. Lopez and Roee Gutman 432 On the Choice of Difference Sequence in a Unified Framework for Variance Estimation in NonparametricRegression.........................Wenlin Dai, Tiejun Tong and Lixing Zhu 455 Models for the Assessment of Treatment Improvement: The Ideal and the Feasible ...................P. C. Álvarez-Esteban, E. del Barrio, J. A. Cuesta-Albertos and C. Matrán 469 Statistical Science [ISSN
    [Show full text]
  • Model-Based Geostatistics
    Appl. Statist. (1998) 47, Part 3, pp. 299^350 Model-based geostatistics P. J. Diggle{ and J. A. Tawn Lancaster University, UK and R. A. Moyeed Plymouth University, UK [Read before The Royal Statistical Society on Wednesday, November 12th, 1997, the President, Professor R. N. Curnow, in the Chair] Summary. Conventional geostatistical methodology solves the problem of predicting the realized value of a linear functional of a Gaussian spatial stochastic process S x) based on observations Yi S xi Zi at sampling locations xi , where the Zi are mutually independent, zero-mean Gaussian random variables. We describe two spatial applications for which Gaussian distributional assumptions are clearly inappropriate. The ®rst concerns the assessment of residual contamination from nuclear weapons testing on a South Paci®c island, in which the sampling method gener- ates spatially indexed Poisson counts conditional on an unobserved spatially varying intensity of radioactivity; we conclude that a conventional geostatistical analysis oversmooths the data and underestimates the spatial extremes of the intensity. The second application provides a description of spatial variation in the risk of campylobacter infections relative to other enteric infections in part of north Lancashire and south Cumbria. For this application, we treat the data as binomial counts at unit postcode locations, conditionally on an unobserved relative risk surface which we estimate. The theoretical framework for our extension of geostatistical methods is that, conditionally on the unobserved process S x, observations at sample locations xi form a generalized linear model with the corresponding values of S xi appearing as an offset term in the linear predictor.
    [Show full text]
  • Invited Conference Speakers
    Medical Research Council Conference on Biostatistics in celebration of the MRC Biostatistics Unit's Centenary Year 24th - 26th March 2014 | Queens' College Cambridge, UK Invited Conference Speakers Professor Tony Ades, School of Social and Community Medicine, University of Bristol Tony Ades is Professor of Public Health Science at the University of Bristol and leads a programme on methods for evidence synthesis in epidemiology and decision modelling. This was originally funded through the MRC Health Services Research Collaboration. With Guobing Lu, Nicky Welton, Sofia DIas, Debbi Caldwell, Malcolm Price, Aicha Goubar and many collaborators in Cambridge and elsewhere, the programme has contributed original research on Network Meta- analysis, multi-parameter synthesis models for the epidemiology of HIV and chlamydia, synthesis for Markov models, expected value of information, and other topics. Tony was a member of the Appraisals Committee at the National Institute for Clinical Excellence (NICE), 2003-2013, and was awarded a lifetime achievement award in 2010 by the Society for Research Synthesis Methodology. Seminar Title: Synthesis of treatment effects, Mappings between outcomes, and test responsiveness Tuesday 25 March, 11.00-12.30 session Abstract: Synthesis of treatment effects, mappings between outcomes, standardisation, and test responsiveness AE Ades, Guobing Lu, Daphne Kounali. School of Social and Community Medicine, University of Bristol Abstract: We shall report on some experiments with a new class of models for synthesis of treatment effect evidence on “similar” outcomes, within and between trials. They are intended particularly for synthesis of patient- and clinician- reported outcomes that are subject to measurement error. These models assume that treatment effects on different outcomes are in fixed, or approximately fixed, ratios across trials.
    [Show full text]
  • Full CV Prof Sylvia Richardson
    Curriculum Vitae Professor Sylvia Richardson PhD Personal Details Full name Professor Sylvia Richardson Nationality French Address MRC Biostatistics Unit, Institute of Public Health, University Forvie Site, Robinson Way, Cambridge, CB2 0SR Email [email protected] Web http://www.mrc-bsu.cam.ac.uk/People/SRichardson.html Current Position June 2012 Appointed to a Research Chair in Biostatistics, University of Cambridge April 2012 Director, MRC Biostatistics Unit, Cambridge Professional Experience 1974 - 1977 Teaching assistant, Mathematics Department, University of Nottingham (UK) 1977 - 1979 Lecturer, Statistics Department, University of Warwick (UK) 1979 - 1981 Research assistant, INSERM Unité 170 (FR) 1981 - 1987 Maître de Conférences, Université René Descartes (FR) 1987 - 1992 Chargée de Recherches, INSERM, U.170 (FR) 1992 - 2000 Directeur de Recherches, INSERM, U.170 (FR) - Head of Biostatistics group. Jan 2000 Promoted to Directeur de Recherches, 1st Class – (en détachement) 2000- 2012 Chair of Biostatistics, Imperial College London 2012- Present Chair of Biostatistics, University of Cambridge Educational Qualifications 1978 PhD (Nottingham University) “Ergodic properties of stopping time transformations” 1989 Doctorat d’Etat Es Sciences Mathematiques (Université de Paris Sud – Orsay) “Processus spatialement dépendants: convergence vers la normalité, tests d’association et applications”. Honours and Awards 1998 Elected to the International Statistics Institute 2009 Awarded the Royal Statistical Society Guy medal in
    [Show full text]
  • Full CV Prof Sylvia Richardson
    Curriculum Vitae Professor Sylvia Richardson PhD Personal Details Full name Professor Sylvia Richardson Nationality French Address MRC Biostatistics Unit, Institute of Public Health, University Forvie Site, Robinson Way, Cambridge, CB2 0SR Email sylvia.richardson@mrc‐bsu.cam.ac.uk Web http://www.mrc‐bsu.cam.ac.uk/People/SRichardson.html Current Position June 2012 Appointed to a Research Chair in Biostatistics, University of Cambridge April 2012 Director, MRC Biostatistics Unit, Cambridge Professional Experience 1974 ‐ 1977 Teaching assistant, Mathematics Department, University of Nottingham (UK) 1977 ‐ 1979 Lecturer, Statistics Department, University of Warwick (UK) 1979 ‐ 1981 Research assistant, INSERM Unité 170 (FR) 1981 ‐ 1987 Maître de Conférences, Université René Descartes (FR) 1987 ‐ 1992 Chargée de Recherches, INSERM, U.170 (FR) 1992 ‐ 2000 Directeur de Recherches, INSERM, U.170 (FR) ‐ Head of Biostatistics group. Jan 2000 Promoted to Directeur de Recherches, 1st Class – (en détachement) 2000‐ 2012 Chair of Biostatistics, Imperial College London 2012‐ Present Chair of Biostatistics, University of Cambridge Educational Qualifications 1978 PhD (Nottingham University) “Ergodic properties of stopping time transformations” 1989 Doctorat d’Etat Es Sciences Mathematiques (Université de Paris Sud – Orsay) “Processus spatialement dépendants: convergence vers la normalité, tests d’association et applications”. Honours and Awards 1998 Elected to the International Statistics Institute 2009 Awarded the Royal Statistical Society Guy medal in Silver 2009‐2014 Awarded a Royal Society Wolfson Research Merit award 2011 IMS Medallion Lecturer 2014 Elected Fellow of the International Society for Bayesian Analysis 2015 Elected Fellow of the Institute of Mathematical Statistics Recent Grants • PI Biostatistics Unit Quinquennial Review Award (April 2013 – March 2018) £13.7 M • Co‐I Medical Research Council grant “A systems based approach to integrating genetic and longitudinal omics data to support diagnosis and prediction of common chronic disease” (Spector PI) £159,300.
    [Show full text]
  • On Bayesian Analysis of Mixtures with an Unknown Number of Components
    J. R. Statist. Soc. B (1997) 59, No. 4, pp. 731-792 On Bayesian Analysis of Mixtures with an Unknown Number of Components By SYLVIA RICHARDSON and PETER J. GREEN? Institut National de la Santd et de la Recherche University of Bristol, UK Medicale, Villejuif. France [Read before The Royal Statistical Society at a meeting organized by the Research Section on Wednesday, January 15th. 1997, the President, Professor A. F. M. Smith, in the Chair] SUMMARY New methodology for fully Bayesian mixture analysis is developed, making use of reversible jump Markov chain Monte Carlo methods that are capable of jumping between the parameter subspaces corresponding to different numbers of components in the mixture. A sample from the full joint distribution of all unknown variables is thereby generated, and this can be used as a basis for a thorough presentation of many aspects of the posterior distribution. The methodology is applied here to the analysis of univariate normal mixtures, using a hierarchical prior model that offers an approach to dealing with weak prior information while avoiding the mathematical pitfalls of using improper priors in the mixture context. Keywords: BIRTH-AND-DEATH PROCESS; CLASSIFICATION; GALAXY DATA; HETEROGENEITY; LAKE ACIDITY DATA; MARKOV CHAIN MONTE CARL0 METHOD; NORMAL MIXTURES; PREDICTIVE DISTRIBUTION; REVERSIBLE JUMP ALGORITHMS; SENSITIVITY ANALYSIS 1. INTRODUCTION This paper is a contribution to the methodology of fully Bayesian mixture modelling. We stress the word 'fully' in two senses. First, we model the number of components and the mixture component parameters jointly and base inference about these quantities on their posterior probabilities. This is in contrast with most previous Bayesian treatments of mixture estimation, which consider models for different numbers of components separately and use significance tests or other non-Bayesian criteria to infer the number of components.
    [Show full text]
  • IMS Annual Meeting at JSM
    Volume 40 • Issue 6 IMS Bulletin September 2011 IMS Annual Meeting at JSM Contents The Institute of Mathematical Statistics held its 74th annual meeting at the Joint 1 IMS Annual Meeting at JSM Statistical Meetings in Miami’s South Beach, from July 30 to August 4, 2011. The IMS highlights at JSM included the three Wald lectures by Greg Lawler, the Neyman 2 Members’ News: Christian Genest, CR Rao, Joe Glaz, lecture by Michael I. Jordan, and five Medallion lectures, by Jianqing Fan, Chris Xuming He, Jean-Pierre Holmes, Michael Newton, Sylvia Richardson, and Qi-Man Shao (see photos on page Fouque, Craig A. Tracy 5). The IMS awards session included the presentation of IMS Fellows (photo 3 COPSS Awards on page 3), the Carver Award (to Ross ommons/Alexf Project Euclid news; C 4 Leadbetter—page 5) and the Laha Travel Web-mentoring project Award recipients (page 7). It was followed W 5 IMS@JSM in photos by Peter Hall’s Presidential Address, 6 Anirban’s Angle: Berkeley Photo: ikimedia which is reproduced on pages 12–14 of and Indian statistics this issue. Miami in August is hot and very 7 Laha awardees humid, but despite that, many attendees 8–9 Obituaries: AV Skorokhod, said that they liked the Art Deco district, The Art Deco Marlin Hotel in South Beach Patrick Billingsley the Cuban restaurants, and of course, 10 Rick’s Ramblings: the beach. With temperatures outside in the mid-90s (about 34ºC) and humidity at NSF proposal-writing around 85%, the 5,000 participants were certainly grateful for the air-conditioning! 12 Presidential Address: Peter At the Business Meeting, outgoing President Peter Hall summarized IMS activities Hall over the previous year, and paid tribute to all those who have worked on IMS com- mittees.
    [Show full text]
  • ALEXANDER PHILIP DAWID Emeritus Professor of Statistics University of Cambridge E-Mail: [email protected] Web
    ALEXANDER PHILIP DAWID Emeritus Professor of Statistics University of Cambridge E-mail: [email protected] Web: http://www.statslab.cam.ac.uk/∼apd EDUCATION 1967{69 University of London (Imperial College; University College) 1963{67 Cambridge University (Trinity Hall; Darwin College) 1956{63 City of London School QUALIFICATIONS 1982 ScD (Cantab.) 1970 MA (Cantab.) 1967 Diploma in Mathematical Statistics (Cantab.: Distinction) 1966 BA (Cantab.): Mathematics (Second Class Honours) 1963 A-levels: Mathematics and Advanced Mathematics (Double Distinction), Physics (Distinction) State Scholarship HONOURS AND AWARDS 2016 Fellow of the International Society for Bayesian Analysis 2015 Honorary Lifetime Member, International Society for Bayesian Analysis 2013 Network Scholar of The MacArthur Foundation Research Network on Law and Neuroscience 2002 DeGroot Prize for a Published Book in Statistical Science 2001 Royal Statistical Society: Guy Medal in Silver 1978 Royal Statistical Society: Guy Medal in Bronze 1977 G. W. Snedecor Award for Best Publication in Biometry EMPLOYMENT ETC. 2013{ Emeritus Professor of Statistics, Cambridge University 2013{ Emeritus Fellow, Darwin College Cambridge 2007{13 Professor of Statistics and Director of the Cambridge Statistics Initiative, Cambridge University 2011{13 Director of Studies in Mathematics, Darwin College Cambridge 2007{13 Professorial Fellow, Darwin College Cambridge 1989{2007 Pearson Professor of Statistics, University College London 1983{93 Head, Department of Statistical Science, University College London 1982{89 Professor of Probability and Statistics, University College London 1981{82 Reader in Probability and Statistics, University College London 1978{81 Professor of Statistics, Head of Statistics Section, and Director of the Statistical Laboratory, Department of Mathematics, The City University, London 1969{78 Lecturer in Statistics, University College London VISITING POSITIONS ETC.
    [Show full text]
  • December 2012 the Official Bulletin of the International Society for Bayesian Analysis
    THE ISBA BULLETIN Vol. 19 No. 4 December 2012 The official bulletin of the International Society for Bayesian Analysis A MESSAGE FROM THE PRESIDENT - Fabrizio Ruggeri - wish them a successful result. I hope my friends ISBA President, 2012 in Latin America will follow my suggestion (but [email protected] keeping the longstanding, successful events like EBEB!): there are great opportunities for Baye- This is my last column as ISBA President and sians in your part of the world and, last but not I would like to summarise the achievements of least, attending a meeting in Latin America is a very exciting year, which reached its apex in always an unforgettable experience for people Kyoto where we had the largest World Meeting coming from the rest of the world. in ISBA history (and the next one in Cancun, Mexico, in 2014 might be even larger: so mark This year we approved, after 20 years of provi- your calendar for mid July 2014!). I would like sional policy, bylaws on how chapters are formed to thank one more time Igor Pruenster, Hajime and operated, and interact with ISBA. Precise ru- Wago and Yasuhiro Omori for the great scientific les should make the creation of new chapters ea- programme and organisation of ISBA 2012. sier: we just need volunteers (like in Mexico) wil- ling to undertake the goal! In my statement for the 2010 elections I had ... Continued on page 2. identified three major areas for ISBA expansi- on: countries outside our strongholds (USA and Europe), scientists in other fields and young sta- In this issue tisticians.
    [Show full text]
  • December 2005
    THE ISBA BULLETIN Vol. 12 No. 4 December 2005 The official bulletin of the International Society for Bayesian Analysis AMESSAGE FROM THE PRESIDENT This year has passed too quickly (don’t they all?) and I look forward to carrying on working with our by Sylvia Richardson new President, Alan Gelfand, to advance some of ISBA President the unfinished business, in particular concerning [email protected] the arrangements for the upkeep of Bayes’ grave. I have enjoyed working with the ISBA community This year has been very productive for ISBA with and I would like to thank all members of the Board a strong society engaged worldwide, the establish- and of the Executive, in particular the past Presi- ment of Sections to encourage diversity, many suc- dent Jim Berger and the treasurer Bruno Sanso,´ for cessful meetings (my personal highlight was the being so responsive. I would also like to thank all MCMski meeting in Bormio), and the launch of our of you who have accepted new responsibilities on electronic journal Bayesian Analysis under the stew- both the prize committees and programme com- ardship of Rob Kass. Following on from the launch, mittees, and congratulate our new elected board a proposal to distribute paper copies under the um- members: Marilena Barbieri, Wes Johnson, Steve brella of the IMS is under discussion by both Soci- MacEachern and Jim Zideck, as well as our new eties. Both the Bulletin and Bayesian Analysis are President Elect Peter Green. flagships for our Society and we are indebted to I wish you all a happy and successful year in Rob Kass and Andres´ Christen for their work on 2006 and look forward to seeing you at our next the editorial side.
    [Show full text]