BERNOULLI NEWS, Vol 24 No 2 (2017)
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IMS Grace Wahba Award and Lecture
Volume 50 • Issue 4 IMS Bulletin June/July 2021 IMS Grace Wahba Award and Lecture The IMS is pleased to announce the creation of a new award and lecture, to honor CONTENTS Grace Wahba’s monumental contributions to statistics and science. These include her 1 New IMS Grace Wahba Award pioneering and influential work in mathematical statistics, machine learning and opti- and Lecture mization; broad and career-long interdisciplinary collaborations that have had a sig- 2 Members’ news : Kenneth nificant impact in epidemiology, bioinformatics and climate sciences; and outstanding Lange, Kerrie Mengersen, Nan mentoring during her 51-year career as an educator. The inaugural Wahba award and Laird, Daniel Remenik, Richard lecture is planned for the 2022 IMS annual meeting in London, then annually at JSM. Samworth Grace Wahba is one of the outstanding statisticians of our age. She has transformed 4 Grace Wahba: profile the fields of mathematical statistics and applied statistics. Wahba’s RKHS theory plays a central role in nonparametric smoothing and splines, and its importance is widely 7 Caucus for Women in recognized. In addition, Wahba’s contributions Statistics 50th anniversary straddle the boundary between statistics and 8 IMS Travel Award winners optimization, and have led to fundamental break- 9 Radu’s Rides: Notes to my Past throughs in machine learning for solving problems Self arising in prediction, classification and cross-vali- dation. She has paved a foundation for connecting 10 Previews: Nancy Zhang, Ilmun Kim theory and practice of function estimation, and has developed, along with her students, unified 11 Nominate IMS Lecturers estimation methods, scalable algorithms and 12 IMS Fellows 2021 standard software toolboxes that have made regu- 16 Recent papers: AIHP and larization approaches widely applicable to solving Observational Studies complex problems in modern science discovery Grace Wahba and technology innovation. -
2015 Conference Directory
RSS International Conference 2015 The conference for all statisticians and users of data sponsored by 7 – 10 September 2015 Exeter University www.rss.org.uk/conference2015 Welcome Outline Timetable Wednesday 9 September 9am – 10am Invited/Contributed sessions (5) It is my great honour to welcome you all to Exeter for the 10.05am – 11.25pm 2015 RSS Conference! After listening to your feedback, you Monday 7 September Invited sessions (6) will see that this year we have adopted a new streaming 9.30am – 5.30pm format to Conference which should allow you to easily 11.25am – 11.50am Pre-conference short courses and workshops identify sessions that are directly relevant to your area of Refreshment break (The Forum) expertise and interests. That being said, I do hope that you 11.50am – 1.10pm will take advantage of this unique opportunity to pop into 7pm – 9pm Invited sessions (7) sessions that you may not have access to elsewhere. Welcome Reception (Royal Albert Memorial Museum) 1.10pm – 2.10pm Lunch We have a great line-up of speakers and sessions organised for you, but I also hope that you will find some time for 2.10pm – 3.10pm exploration. The Conference will be hosted in three Tuesday 8 September Plenary 3 – Significance lecture outstanding venues - The Forum (which all you Broadchurch fans may recognise as the 3.15pm – 4.15pm 9am – 9.30am Courtroom in the second series), the award winning Royal Albert Memorial Museum Invited/Contributed sessions (8) and the University’s Great Hall. The Young Statisticians’ Guide to the Conference 4.15pm – 4.40pm Exeter is an ancient city with many notable landmarks, including the Cathedral which 9.30am – 10.30am Refreshment break boasts an astronomical clock and the longest uninterrupted vaulted ceiling in England. -
Elect Your Council
Volume 41 • Issue 3 IMS Bulletin April/May 2012 Elect your Council Each year IMS holds elections so that its members can choose the next President-Elect CONTENTS of the Institute and people to represent them on IMS Council. The candidate for 1 IMS Elections President-Elect is Bin Yu, who is Chancellor’s Professor in the Department of Statistics and the Department of Electrical Engineering and Computer Science, at the University 2 Members’ News: Huixia of California at Berkeley. Wang, Ming Yuan, Allan Sly, The 12 candidates standing for election to the IMS Council are (in alphabetical Sebastien Roch, CR Rao order) Rosemary Bailey, Erwin Bolthausen, Alison Etheridge, Pablo Ferrari, Nancy 4 Author Identity and Open L. Garcia, Ed George, Haya Kaspi, Yves Le Jan, Xiao-Li Meng, Nancy Reid, Laurent Bibliography Saloff-Coste, and Richard Samworth. 6 Obituary: Franklin Graybill The elected Council members will join Arnoldo Frigessi, Steve Lalley, Ingrid Van Keilegom and Wing Wong, whose terms end in 2013; and Sandrine Dudoit, Steve 7 Statistical Issues in Assessing Hospital Evans, Sonia Petrone, Christian Robert and Qiwei Yao, whose terms end in 2014. Performance Read all about the candidates on pages 12–17, and cast your vote at http://imstat.org/elections/. Voting is open until May 29. 8 Anirban’s Angle: Learning from a Student Left: Bin Yu, candidate for IMS President-Elect. 9 Parzen Prize; Recent Below are the 12 Council candidates. papers: Probability Surveys Top row, l–r: R.A. Bailey, Erwin Bolthausen, Alison Etheridge, Pablo Ferrari Middle, l–r: Nancy L. Garcia, Ed George, Haya Kaspi, Yves Le Jan 11 COPSS Fisher Lecturer Bottom, l–r: Xiao-Li Meng, Nancy Reid, Laurent Saloff-Coste, Richard Samworth 12 Council Candidates 18 Awards nominations 19 Terence’s Stuff: Oscars for Statistics? 20 IMS meetings 24 Other meetings 27 Employment Opportunities 28 International Calendar of Statistical Events 31 Information for Advertisers IMS Bulletin 2 . -
BERNOULLI NEWS, Vol 24 No 1 (2017)
Vol. 24 (1), May 2017 Published twice per year by the Bernoulli Society ISSN 1360–6727 CONTENTS News from the Bernoulli Society p. 1 Awards and Prizes p. 2 New Executive Members A VIEW FROM THE PRESIDENT in the Bernoulli Society Dear Members of the Bernoulli Society, p. 3 As we all seem to agree, the role and image of statistics has changed dramatically. Still, it takes ones breath when realizing the huge challenges ahead. Articles and Letters Statistics has not always been considered as being very necessary. In 1848 the Dutch On Bayesian Measures of Ministry of Home Affairs established an ofŮice of statistics. And then, thirty years later Uncertainty in Large or InŮinite minister Kappeyne van de Coppelo abolishes the “superŮluous” ofŮice. The ofŮice was Dimensional Models p. 4 quite rightly put back in place in 1899, as “Centraal Bureau voor de Statistiek” (CBS). Statistics at the CBS has evolved from “simple” counting to an art requiring a broad range On the Probability of Co-primality of competences. Of course counting remains important. For example the CBS reports in of two Natural Numbers Chosen February 2017 that almost 1 out of 4 people entitled to vote in the Netherlands is over the at Random p. 7 age of 65. But clearly, knowing this generates questions. What is the inŮluence of this on the outcome of the elections? This calls for more data. Demographic data are combined with survey data and nowadays also with data from other sources, in part to release the “survey pressure” that Ůirms and individuals are facing. -
Coauthorship and Citation Networks for Statisticians
Submitted to the Annals of Applied Statistics arXiv: arXiv:0000.0000 COAUTHORSHIP AND CITATION NETWORKS FOR STATISTICIANS By Pengsheng Jiy and Jiashun Jinz University of Georgiay and Carnegie Mellon Universityz We have collected and cleaned two network data sets: Coauthor- ship and Citation networks for statisticians. The data sets are based on all research papers published in four of the top journals in statis- tics from 2003 to the first half of 2012. We analyze the data sets from many different perspectives, focusing on (a) centrality, (b) commu- nity structures, and (c) productivity, patterns and trends. For (a), we have identified the most prolific/collaborative/highly cited authors. We have also identified a handful of \hot" papers, suggesting \Variable Selection" as one of the \hot" areas. For (b), we have identified about 15 meaningful communities or research groups, including large-size ones such as \Spatial Statis- tics", \Large-Scale Multiple Testing", \Variable Selection" as well as small-size ones such as \Dimensional Reduction", \Objective Bayes", \Quantile Regression", and \Theoretical Machine Learning". For (c), we find that over the 10-year period, both the average number of papers per author and the fraction of self citations have been decreasing, but the proportion of distant citations has been increasing. These suggest that the statistics community has become increasingly more collaborative, competitive, and globalized. Our findings shed light on research habits, trends, and topological patterns of statisticians. The data sets provide a fertile ground for future researches on or related to social networks of statisticians. 1. Introduction. It is frequently of interest to identify \hot" areas and key authors in a scientific community, and to understand the research habits, trends, and topological patterns of the researchers. -
IMS Bulletin 39(4)
Volume 39 • Issue 4 IMS1935–2010 Bulletin May 2010 Meet the 2010 candidates Contents 1 IMS Elections 2–3 Members’ News: new ISI members; Adrian Raftery; It’s time for the 2010 IMS elections, and Richard Smith; we introduce this year’s nominees who are IMS Collections vol 5 standing for IMS President-Elect and for IMS Council. You can read all the candi- 4 IMS Election candidates dates’ statements, starting on page 4. 9 Amendments to This year there are also amendments Constitution and Bylaws to the Constitution and Bylaws to vote Letter to the Editor 11 on: they are listed The candidate for IMS President-Elect is Medallion Preview: Laurens on page 9. 13 Ruth Williams de Haan Voting is open until June 26, so 14 COPSS Fisher lecture: Bruce https://secure.imstat.org/secure/vote2010/vote2010.asp Lindsay please visit to cast your vote! 15 Rick’s Ramblings: March Madness 16 Terence’s Stuff: And ANOVA thing 17 IMS meetings 27 Other meetings 30 Employment Opportunities 31 International Calendar of Statistical Events The ten Council candidates, clockwise from top left, are: 35 Information for Advertisers Krzysztof Burdzy, Francisco Cribari-Neto, Arnoldo Frigessi, Peter Kim, Steve Lalley, Neal Madras, Gennady Samorodnitsky, Ingrid Van Keilegom, Yazhen Wang and Wing H Wong Abstract submission deadline extended to April 30 IMS Bulletin 2 . IMs Bulletin Volume 39 . Issue 4 Volume 39 • Issue 4 May 2010 IMS members’ news ISSN 1544-1881 International Statistical Institute elects new members Contact information Among the 54 new elected ISI members are several IMS members. We congratulate IMS IMS Bulletin Editor: Xuming He Fellow Jon Wellner, and IMS members: Subhabrata Chakraborti, USA; Liliana Forzani, Assistant Editor: Tati Howell Argentina; Ronald D. -
Statistical Modelling of Citation Exchange Between Statistics Journals
J. R. Statist. Soc. A (2016) 179, Part 1, pp. 1–63 Statistical modelling of citation exchange between statistics journals Cristiano Varin, Universit`a Ca’ Foscari, Venezia, Italy Manuela Cattelan Universit`a degli Studi di Padova, Italy and David Firth University of Warwick, Coventry, UK [Read before The Royal Statistical Society at a meeting organized by the General Applica- tions Section on Wednesday, May 13th, 2015, Professor P. Clarke in the Chair ] Summary. Rankings of scholarly journals based on citation data are often met with scepticism by the scientific community. Part of the scepticism is due to disparity between the common per- ception of journals’ prestige and their ranking based on citation counts. A more serious concern is the inappropriate use of journal rankings to evaluate the scientific influence of researchers. The paper focuses on analysis of the table of cross-citations among a selection of statistics jour- nals. Data are collected from the Web of Science database published by Thomson Reuters. Our results suggest that modelling the exchange of citations between journals is useful to highlight the most prestigious journals, but also that journal citation data are characterized by consid- erable heterogeneity, which needs to be properly summarized. Inferential conclusions require care to avoid potential overinterpretation of insignificant differences between journal ratings. Comparison with published ratings of institutions from the UK’s research assessment exercise shows strong correlation at aggregate level between assessed research quality and journal citation ‘export scores’ within the discipline of statistics. Keywords: Bradley–Terry model; Citation data; Export score; Impact factor; Journal ranking; Research evaluation; Stigler model 1. -
Applied Statistics
ISSN 1932-6157 (print) ISSN 1941-7330 (online) THE ANNALS of APPLIED STATISTICS AN OFFICIAL JOURNAL OF THE INSTITUTE OF MATHEMATICAL STATISTICS Articles Elicitability and backtesting: Perspectives for banking regulation NATALIA NOLDE AND JOHANNA F. ZIEGEL 1833 Discussion...............................HAJO HOLZMANN AND BERNHARD KLAR 1875 Discussion.....................................................PATRICK SCHMIDT 1883 Discussion.................................................... MARK H. A. DAV I S 1886 Discussion...........................................................CHEN ZHOU 1888 Discussion.........................................................MARIE KRATZ 1894 Rejoinder...............................NATALIA NOLDE AND JOHANNA F. ZIEGEL 1901 Estimating average causal effects under general interference, with application to a social networkexperiment.....................PETER M. ARONOW AND CYRUS SAMII 1912 Co-evolution of social networks and continuous actor attributes NYNKE M. D. NIEZINK AND TOM A. B. SNIJDERS 1948 Bayesian sensitivity analysis for causal effects from 2 × 2 tables in the presence of unmeasured confounding with application to presidential campaign visits LUKE KEELE AND KEVIN M. QUINN 1974 Model-based clustering with data correction for removing artifacts in gene expression data WILLIAM CHAD YOUNG,ADRIAN E. RAFTERY AND KA YEE YEUNG 1998 A unified framework for variance component estimation with summary statistics in genome-wideassociationstudies...................................XIANG ZHOU 2027 Photodegradation modeling -
Whoa-Psi 2016
WHOA-PSI 2016 Workshop on Higher-Order Asymptotics and Post-Selection Inference Washington University in St. Louis, St. Louis, Missouri, USA 30 September - 2 October, 2016 Schedule of Talks, Abstracts Organizers: John Kolassa, Todd Kuffner, Nancy Reid, Ryan Tibshirani, Alastair Young Workshop on Higher-Order Asymptotics and Post-Selection Inference (WHOA-PSI) 30 Sep. - 2 Oct., 2016 Friday 30th September 7:30 { 9:00 Breakfast and registration 9:00 { 9:15 Introductions 9:15 { 10:05 Tutorial on Post-Selection Inference (Todd Kuffner) 10:05 { 10:25 Coffee break 10:25 { 11:15 Tutorial on Higher-Order Asymptotics (Todd Kuffner) 11:30 { 1:00 Lunch and registration 1:00 { 1:10 Opening remarks 1:10 { 2:50 Session 1; Chair: Nan Lin, Washington University in St. Louis 1:10 { 1:35 Ryan Martin, North Carolina State University A new double empirical Bayes approach for high-dimensional problems 1:35 { 2:00 Anru Zhang, University of Wisconsin Cross: efficient low-rank tensor completion 2:00 { 2:25 Shujie Ma, UC Riverside Wild bootstrap confidence intervals in sparse high dimensional heteroscedastic linear models 2:25 { 2:50 Discussion 2:50 { 3:05 Coffee break 3:05 { 4:15 Session 2; Chair: Debraj Das, North Carolina State University 3:05 { 3:30 Xiaoying Tian, Stanford University Selective inference with a randomized response 3:30 { 3:55 Yuekai Sun, University of Michigan Fast convergence of Newton-type methods on high dimensional problems 3:55 { 4:15 Discussion 4:15 { 4:30 Coffee break 4:30 { 5:40 Session 3; Chair: Sangwon Hyun, Carnegie Mellon University 4:30 { 4:55 Hongyuan Cao, University of Missouri Columbia Change point estimation: another look at multiple testing problems 4:55 { 5:20 Jelena Bradic, UC San Diego Inference in Non-Sparse High-Dimensional Models: going beyond sparsity and de-biasing. -
Carver Award: Lynne Billard We Are Pleased to Announce That the IMS Carver Medal Committee Has Selected Lynne CONTENTS Billard to Receive the 2020 Carver Award
Volume 49 • Issue 4 IMS Bulletin June/July 2020 Carver Award: Lynne Billard We are pleased to announce that the IMS Carver Medal Committee has selected Lynne CONTENTS Billard to receive the 2020 Carver Award. Lynne was chosen for her outstanding service 1 Carver Award: Lynne Billard to IMS on a number of key committees, including publications, nominations, and fellows; for her extraordinary leadership as Program Secretary (1987–90), culminating 2 Members’ news: Gérard Ben Arous, Yoav Benjamini, Ofer in the forging of a partnership with the Bernoulli Society that includes co-hosting the Zeitouni, Sallie Ann Keller, biannual World Statistical Congress; and for her advocacy of the inclusion of women Dennis Lin, Tom Liggett, and young researchers on the scientific programs of IMS-sponsored meetings.” Kavita Ramanan, Ruth Williams, Lynne Billard is University Professor in the Department of Statistics at the Thomas Lee, Kathryn Roeder, University of Georgia, Athens, USA. Jiming Jiang, Adrian Smith Lynne Billard was born in 3 Nominate for International Toowoomba, Australia. She earned both Prize in Statistics her BSc (1966) and PhD (1969) from the 4 Recent papers: AIHP, University of New South Wales, Australia. Observational Studies She is probably best known for her ground-breaking research in the areas of 5 News from Statistical Science HIV/AIDS and Symbolic Data Analysis. 6 Radu’s Rides: A Lesson in Her research interests include epidemic Humility theory, stochastic processes, sequential 7 Who’s working on COVID-19? analysis, time series analysis and symbolic 9 Nominate an IMS Special data. She has written extensively in all Lecturer for 2022/2023 these areas, publishing over 250 papers in Lynne Billard leading international journals, plus eight 10 Obituaries: Richard (Dick) Dudley, S.S. -
Yee Whye Teh Curriculum Vitae
Yee Whye Teh Curriculum Vitae Department of Statistics Webpage: http://www.stats.ox.ac.uk/∼teh 24-29 St Giles Email: [email protected] Oxford OX1 3LB Mobile: +44-7392100886 United Kingdom Brief Biography I am a Professor of Statistical Machine Learning at the Department of Statistics, University of Oxford, a Principal Research Scientist at DeepMind, an Alan Turing Institute Faculty Fellow and an ELLIS Fellow, co-director of the ELLIS Robust Machine Learning Programme and co-director of the ELLIS@Oxford ELLIS unit. I obtained my PhD at the University of Toronto, and did postdoctoral work at the University of California at Berkeley and National University of Singapore, where I was a Lee Kuan Yew Postdoctoral Fellow. I was a Lecturer and a Reader at the Gatsby Computational Neuroscience Unit, UCL and an ERC Consolidator Fellow. My research interests are in machine learning, computational statistics and artificial intelligence, in particular probabilistic models, Bayesian nonparametrics, large scale learning and deep learning. I also have interests in using statistical and machine learning tools to solve problems in genetics, genomics, linguistics, neuroscience and artificial intelligence. I was programme co-chair of the International Conference on Artificial Intelligence and Statistics 2010, Machine Learning Summer School 2014 (Iceland), and the International Conference on Ma- chine Learning 2017, an editor for a IEEE TPAMI Special Issue on Bayesian nonparametrics, and is/was an associate/action editor for Bayesian Analysis, IEEE Transactions on Pattern Analysis and Machine Intelligence, Machine Learning Journal, Journal of the Royal Statistical Society Series B, Statistical Sciences and Journal of Machine Learning Research. -
Computational and Financial Econometrics (CFE 2017)
CFE-CMStatistics 2017 PROGRAMME AND ABSTRACTS 11th International Conference on Computational and Financial Econometrics (CFE 2017) http://www.cfenetwork.org/CFE2017 and 10th International Conference of the ERCIM (European Research Consortium for Informatics and Mathematics) Working Group on Computational and Methodological Statistics (CMStatistics 2017) http://www.cmstatistics.org/CMStatistics2017 Senate House & Birkbeck University of London, UK 16 – 18 December 2017 ⃝c ECOSTA ECONOMETRICS AND STATISTICS. All rights reserved. I CFE-CMStatistics 2017 ISBN 978-9963-2227-4-2 ⃝c 2017 - ECOSTA ECONOMETRICS AND STATISTICS Technical Editors: Gil Gonzalez-Rodriguez and Marc Hofmann. 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 ECOSTA ECONOMETRICS AND STATISTICS. All rights reserved. CFE-CMStatistics 2017 International Organizing Committee: Ana Colubi, Erricos Kontoghiorghes, Marc Levene, Bernard Rachet, Herman Van Dijk. CFE 2017 Co-chairs: Veronika Czellar, Hashem Pesaran, Mike Pitt and Stefan Sperlich. CFE 2017 Programme Committee: Knut Are Aastveit, Alessandra Amendola, Josu Arteche, Monica Billio, Roberto Casarin, Gianluca Cubadda, Manfred Deistler, Jean-Marie Dufour, Ekkehard Ernst, Jean-David Fermanian, Catherine Forbes, Philip Hans Franses, Marc Hallin, Alain Hecq, David Hendry, Benjamin Holcblat, Jan Jacobs, Degui Li, Alessandra Luati, Richard Luger, J Isaac Miller, Claudio Morana, Bent