A Conversation with David R. Brillinger Victor M
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
JSM 2017 in Baltimore the 2017 Joint Statistical Meetings in Baltimore, Maryland, Which Included the CONTENTS IMS Annual Meeting, Took Place from July 29 to August 3
Volume 46 • Issue 6 IMS Bulletin September 2017 JSM 2017 in Baltimore The 2017 Joint Statistical Meetings in Baltimore, Maryland, which included the CONTENTS IMS Annual Meeting, took place from July 29 to August 3. There were over 6,000 1 JSM round-up participants from 52 countries, and more than 600 sessions. Among the IMS program highlights were the three Wald Lectures given by Emmanuel Candès, and the Blackwell 2–3 Members’ News: ASA Fellows; ICM speakers; David Allison; Lecture by Martin Wainwright—Xiao-Li Meng writes about how inspirational these Mike Cohen; David Cox lectures (among others) were, on page 10. There were also five Medallion lectures, from Edoardo Airoldi, Emery Brown, Subhashis Ghoshal, Mark Girolami and Judith 4 COPSS Awards winners and nominations Rousseau. Next year’s IMS lectures 6 JSM photos At the IMS Presidential Address and Awards session (you can read Jon Wellner’s 8 Anirban’s Angle: The State of address in the next issue), the IMS lecturers for 2018 were announced. The Wald the World, in a few lines lecturer will be Luc Devroye, the Le Cam lecturer will be Ruth Williams, the Neyman Peter Bühlmann Yuval Peres 10 Obituary: Joseph Hilbe lecture will be given by , and the Schramm lecture by . The Medallion lecturers are: Jean Bertoin, Anthony Davison, Anna De Masi, Svante Student Puzzle Corner; 11 Janson, Davar Khoshnevisan, Thomas Mikosch, Sonia Petrone, Richard Samworth Loève Prize and Ming Yuan. 12 XL-Files: The IMS Style— Next year’s JSM invited sessions Inspirational, Mathematical If you’re feeling inspired by what you heard at JSM, you can help to create the 2018 and Statistical invited program for the meeting in Vancouver (July 28–August 2, 2018). -
JOHN WILDER TUKEY 16 June 1915 — 26 July 2000
Tukey second proof 7/11/03 2:51 pm Page 1 JOHN WILDER TUKEY 16 June 1915 — 26 July 2000 Biogr. Mems Fell. R. Soc. Lond. 49, 000–000 (2003) Tukey second proof 7/11/03 2:51 pm Page 2 Tukey second proof 7/11/03 2:51 pm Page 3 JOHN WILDER TUKEY 16 June 1915 — 26 July 2000 Elected ForMemRS 1991 BY PETER MCCULLAGH FRS University of Chicago, 5734 University Avenue, Chicago, IL 60637, USA John Wilder Tukey was a scientific generalist, a chemist by undergraduate training, a topolo- gist by graduate training, an environmentalist by his work on Federal Government panels, a consultant to US corporations, a data analyst who revolutionized signal processing in the 1960s, and a statistician who initiated grand programmes whose effects on statistical practice are as much cultural as they are specific. He had a prodigious knowledge of the physical sci- ences, legendary calculating skills, an unusually sharp and creative mind, and enormous energy. He invented neologisms at every opportunity, among which the best known are ‘bit’ for binary digit, and ‘software’ by contrast with hardware, both products of his long associa- tion with Bell Telephone Labs. Among his legacies are the fast Fourier transformation, one degree of freedom for non-additivity, statistical allowances for multiple comparisons, various contributions to exploratory data analysis and graphical presentation of data, and the jack- knife as a general method for variance estimation. He popularized spectrum analysis as a way of studying stationary time series, he promoted exploratory data analysis at a time when the subject was not academically respectable, and he initiated a crusade for robust or outlier-resist- ant methods in statistical computation. -
You May Be (Stuck) Here! and Here Are Some Potential Reasons Why
You may be (stuck) here! And here are some potential reasons why. As published in Benchmarks RSS Matters, May 2015 http://web3.unt.edu/benchmarks/issues/2015/05/rss-matters Jon Starkweather, PhD 1 Jon Starkweather, PhD [email protected] Consultant Research and Statistical Support http://www.unt.edu http://www.unt.edu/rss RSS hosts a number of “Short Courses”. A list of them is available at: http://www.unt.edu/rss/Instructional.htm Those interested in learning more about R, or how to use it, can find information here: http://www.unt.edu/rss/class/Jon/R_SC 2 You may be (stuck) here! And here are some potential reasons why. I often read R-bloggers (Galili, 2015) to see new and exciting things users are doing in the wonderful world of R. Recently I came across Norm Matloff’s (2014) blog post with the title “Why are we still teaching t-tests?” To be honest, many RSS personnel have echoed Norm’s sentiments over the years. There do seem to be some fields which are perpetually stuck in decades long past — in terms of the statistical methods they teach and use. Reading Norm’s post got me thinking it might be good to offer some explanations, or at least opinions, on why some fields tend to be stubbornly behind the analytic times. This month’s article will offer some of my own thoughts on the matter. I offer these opinions having been academically raised in one such Rip Van Winkle (Washington, 1819) field and subsequently realized how much of what I was taught has very little practical utility with real world research problems and data. -
Notices: Highlights
------------- ----- Tacoma Meeting (June 18-20)-Page 667 Notices of the American Mathematical Society June 1987, Issue 256 Volume 34, Number 4, Pages 601 - 728 Providence, Rhode Island USA ISSN 0002-9920 Calendar of AMS Meetings THIS CALENDAR lists all meetings which have been approved by the Council prior to the date this issue of Notices was sent to the press. The summer and annual meetings are joint meetings of the Mathematical Association of America and the American Mathematical Society. The meeting dates which fall rather far in the future are subject to change; this is particularly true of meetings to which no numbers have yet been assigned. Programs of the meetings will appear in the issues indicated below. First and supplementary announcements of the meetings will have appeared in earlier issues. ABSTRACTS OF PAPERS presented at a meeting of the Society are published in the journal Abstracts of papers presented to the American Mathematical Society in the issue corresponding to that of the Notices which contains the program of the meeting. Abstracts should be submitted on special forms which are available in many departments of mathematics and from the headquarter's office of the Society. Abstracts of papers to be presented at the meeting must be received at the headquarters of the Society in Providence, Rhode Island, on or before the deadline given below for the meeting. Note that the deadline for abstracts for consideration for presentation at special sessions is usually three weeks earlier than that specified below. For additional information. consult the meeting announcements and the list of organizers of special sessions. -
John W. Tukey 1915–2000
John W. Tukey 1915–2000 A Biographical Memoir by David R. Brillinger 2018 National Academy of Sciences. Any opinions expressed in this memoir are those of the author and do not necessarily reflect the views of the National Academy of Sciences. JOHN WILDER TUKEY June 16, 1915–July 26, 2000 Elected to the NAS, 1961 John Wilder Tukey was renowned for research and service in academia, industry, and government. He was born June 16, 1915, in New Bedford, Massachusetts, the only child of Adah M. Takerand Ralph H. Tukey. His parents had grad- uated first and second in the Bates College class of 1898. John had unusual talents from an early age. He could read when he was three, and had remarkable powers of mental calculation. His father had obtained a doctorate in Latin from Yale University and then moved on to teach and be principal at New Bedford High School. His mother was a substitute teacher there. Perhaps as a consequence of these backgrounds, Tukey was schooled at home, but he did attend various classes at the high school. By David R. Brillinger Tukey’s wife, Elizabeth Rapp, was born on March 2, 1920, in Ocean City, New Jersey. She went to Temple Univer- sity and was later valedictorian in the 1944 class in business administration at Radcliffe College. About meeting John, she commented that the first time she saw him he was sitting in the front row of a public lecture asking quite difficult questions of the speaker. They later met at a folkdance class that John was teaching. -
Statistics Making an Impact
John Pullinger J. R. Statist. Soc. A (2013) 176, Part 4, pp. 819–839 Statistics making an impact John Pullinger House of Commons Library, London, UK [The address of the President, delivered to The Royal Statistical Society on Wednesday, June 26th, 2013] Summary. Statistics provides a special kind of understanding that enables well-informed deci- sions. As citizens and consumers we are faced with an array of choices. Statistics can help us to choose well. Our statistical brains need to be nurtured: we can all learn and practise some simple rules of statistical thinking. To understand how statistics can play a bigger part in our lives today we can draw inspiration from the founders of the Royal Statistical Society. Although in today’s world the information landscape is confused, there is an opportunity for statistics that is there to be seized.This calls for us to celebrate the discipline of statistics, to show confidence in our profession, to use statistics in the public interest and to champion statistical education. The Royal Statistical Society has a vital role to play. Keywords: Chartered Statistician; Citizenship; Economic growth; Evidence; ‘getstats’; Justice; Open data; Public good; The state; Wise choices 1. Introduction Dictionaries trace the source of the word statistics from the Latin ‘status’, the state, to the Italian ‘statista’, one skilled in statecraft, and on to the German ‘Statistik’, the science dealing with data about the condition of a state or community. The Oxford English Dictionary brings ‘statistics’ into English in 1787. Florence Nightingale held that ‘the thoughts and purpose of the Deity are only to be discovered by the statistical study of natural phenomena:::the application of the results of such study [is] the religious duty of man’ (Pearson, 1924). -
ISI99 Daily Bulletin 4
ISI99 Daily Bulletin 4 Thursday 12 August, 1999 Contents First day • ISI Service Awards 2 • Jan Tinbergen Awards 1999 2 • Changes in the programme 3 • Correction 3 • Statistical Education 3 • Making Statistics Come Alive 4 • Behind the scenes and in the frontline, part 3 5 IASS - International Association • Many questions were answered at the Information Desk. of Survey Statisticians 6 • Everyday elegance anyone can afford 6 • Golden era of Finnish art 8 • Ateneum, the ”House for the Arts” 9 • Kiasma, the museum of contemporary art 9 • The spirit of the bottle 10 • Harvest in the Market Square 11 • Kuka hän on? 12 • For people on the move 12 Webmasters Markku (left) and Samppa mastering the Web. ISI99 / Daily Bulletin / Thursday, August 12 / 4 1 ISI Service Awards From time to time, the President awards ISI Service Medals to Adolphe Quetelet (Belgium) persons whose outstanding activities were of particular Henri Willem Methorst (The Netherlands) significance for the Institute’s activities. The Service Medals are Franz von Neumann–Spallart (Austria–Hungary) named after three great statisticians who were instrumental in The ISI Executive Committee considers the following persons furthering international statistical co-operation: as deserving candidates for an ISI Service Medal, to be awarded during the August 13 ISI General Assembly meeting in Helsinki: Adolphe Quetelet Medal David Cox (United Kingdom) Ilkka Mellin (Finland) Mario Palma Rojo (Mexico) Timo Relander (Finland) Vijayan N. Nair (Malaysia) Zoltan Kenessey (in memorial -USA) Willem de Vries (Netherlands) Henri Willem Methorst Medal Constance van Eeden (The Netherlands) Agnes Herzberg (Canada) Raija Lofgren (Finland) Joop Mijnheer (The Netherlands) Jozef L.M. -
Error and Inference: an Outsider Stand on a Frequentist Philosophy
ERROR AND INFERENCE: AN OUTSIDER STAND ON A FREQUENTIST PHILOSOPHY CHRISTIAN P. ROBERT UNIVERSITE´ PARIS-DAUPHINE CEREMADE, IUF, AND CREST, 75775 PARIS CEDEX 16, FRANCE [email protected] Abstract. This note is an extended review of the book Error and Inference, edited by Deborah Mayo and Aris Spanos, about their frequentist and philosophical perspective on testing of hypothesis and on the criticisms of alternatives like the Bayesian approach. 1. Introduction. “The philosophy of science offer valuable tools for understanding and ad- vancing solutions to the problems of evidence and inference in practice”— D. Mayo and A. Spanos, p.xiv, Error and Inference, 2010 This philosophy book, Error and Inference, whose subtitle is “Recent exchanges on experimental reasoning, reliability, and the objectivity and rationality of Science”, includes contributions by P. Achinstein, A. Chalmers, D. Cox, C. Glymour, L. Laudan, A. Musgrave, and J. Worrall, and by both editors, D. Mayo and A. Spanos. It offers reflections on the nature of testing and the defence of the “Error-Statistical philosophy”, proposed by Mayo (1996). Error and Inference is the edited continuation of a conference held at Virginia Tech in 2006, ERROR 06. Given my layman interest in the philosophy of Science, I find that the book reads rather well, despite my missing references in the field. (Paradoxically, the sections I found the hardest to follow were those most centred on Statistics.) The volume is very carefully edited and thus much more than a collection of papers, thanks to the dedications of the editors. In particular, Deborah Mayo added her comments at the end of the chapters of all contributors (but her own’s and Aris Spanos’). -
Probability, Analysis and Number Theory
Probability, Analysis and Number Theory. Papers in Honour of N. H. Bingham (ed. C. M. Goldie and A. Mijatovi´c), Advances in Applied Probability Special Volume 48A (2016), 1-14. PROBABILITY UNFOLDING, 1965-2015 N. H. BINGHAM Abstract. We give a personal (and we hope, not too idiosyncratic) view of how our subject of Probability Theory has developed during the last half-century, and the author in tandem with it. 1. Introduction. One of the nice things about Probability Theory is that it is still a young subject. Of course it has ancient roots in the real world, as chance is all around us, and draws on the older fields of Analysis on the one hand and Statistics on the other. We take the conventional view that the modern era begins in 1933 with Kolmogorov's path-breaking Grundbegriffe, and agree with Williams' view of probability pre-Kolmogorov as `a shambles' (Williams (2001), 23)1. The first third of the last century was an interesting transitional period, as Measure Theory, the natural machinery with which to do Proba- bility, already existed. For my thoughts on this period, see [72]2, [104]; for the origins of the Grundbegriffe, see e.g. Shafer & Vovk (2006). Regarding the history of mathematics in general, we have among a wealth of sources the two collections edited by Pier (1994, 2000), covering 1900- 50 and 1950-2000. These contain, by Doob and Meyer respectively (Doob (1994), Meyer (2000)), fine accounts of the development of probability; Meyer (2000) ends with his 12-page selection of a chronological list of key publica- tions during the century. -
26 February 2016 ECE 438 Lecture Notes
ECE 438 Lecture Notes Page 1 2/26/2016 Computer Pioneers - James William Cooley 2/26/16, 10:58 AM IEEE-CS Home | IEEE Computer Society History Committee Computer Pioneers by J. A. N. Lee « Cook, Stephen A. index Coombs, Allen W. M. » James William Cooley Born September 18, 1926; with John Tukey, creator of the fast Fourier transform. Education: BA, arts, Manhattan College, 1949; MA, mathematics, Columbia University, 1951; PhD, applied mathematics, Columbia University, 1961. Professional Experience: programmer, Institute for Advanced Study, Princeton University, 1953-1956; research assistant, mathematics, Courant Institute, New York University, 1956-1962; research staff, IBM Watson Research Center, 1962-1991; professor, electrical engineering, University of Rhode Island, 1991-present. Honors and Awards: Contribution Award, Audio and Acoustics Society, 1976; Meritorious Service Award, ASSP Society, 1980; Society Award, Acoustics Speech and Signal Processing, 1984; IEEE Centennial Award, 1984; fellow, IEEE James W. Cooley started his career in applied mathematics and computing when he worked and studied under Professor F.J. Murray at Columbia University. He then became a programmer in the numerical weather prediction group at John von Neumann's computer project at the Institute for Advanced Study in Princeton, New Jersey. [See the biography of Jule Charney.] In 1956, he started working as a research assistant at the Courant Institute at New York University, New York. Here he worked on numerical methods and programming of quantum mechanical calculations (Cooley 1961). This led to his thesis for his PhD degree from Columbia University. In 1962 he obtained a position as a research staff member at the IBM Watson Research Center in Yorktown Heights, New York. -
International Prize in Statistics Awarded to Sir David Cox for Survival Analysis Model Applied in Medicine, Science, and Engineering
International Prize in Statistics Awarded to Sir David Cox for Survival Analysis Model Applied in Medicine, Science, and Engineering EMBARGOED until October 19, 2016, at 9 p.m. ET ALEXANDRIA, VA (October 18, 2016) – Prominent British statistician Sir David Cox has been named the inaugural recipient of the International Prize in Statistics. Like the acclaimed Fields Medal, Abel Prize, Turing Award and Nobel Prize, the International Prize in Statistics is considered the highest honor in its field. It will be bestowed every other year to an individual or team for major achievements using statistics to advance science, technology and human welfare. Cox is a giant in the field of statistics, but the International Prize in Statistics Foundation is recognizing him specifically for his 1972 paper in which he developed the proportional hazards model that today bears his name. The Cox Model is widely used in the analysis of survival data and enables researchers to more easily identify the risks of specific factors for mortality or other survival outcomes among groups of patients with disparate characteristics. From disease risk assessment and treatment evaluation to product liability, school dropout, reincarceration and AIDS surveillance systems, the Cox Model has been applied essentially in all fields of science, as well as in engineering. “Professor Cox changed how we analyze and understand the effect of natural or human- induced risk factors on survival outcomes, paving the way for powerful scientific inquiry and discoveries that have impacted -
Curriculum Vitae
Curriculum Vitae Nancy Margaret Reid O.C. April, 2021 BIOGRAPHICAL INFORMATION Personal University Address: Department of Statistical Sciences University of Toronto 700 University Avenue 9th floor Toronto, Ontario M5S 1X6 Telephone: (416) 978-5046 Degrees 1974 B.Math University of Waterloo 1976 M.Sc. University of British Columbia 1979 Ph.D. Stanford University Thesis: “Influence functions for censored data” Supervisor: R.G. Miller, Jr. 2015 D.Math. (Honoris Causa) University of Waterloo Employment 1-3/2020 Visiting Professor SMRI University of Sydney 1-3/2020 Visiting Professor Monash University Melbourne 10-11/2012 Visiting Professor Statistical Science University College, London 2007-2021 Canada Research Chair Statistics University of Toronto 2003- University Professor Statistics University of Toronto 1988- Professor Statistics University of Toronto 2002-2003 Visiting Professor Mathematics EPF, Lausanne 1997-2002 Chair Statistics University of Toronto 1987- Tenured Statistics University of Toronto 1986-88 Associate Professor Statistics University of Toronto Appointed to School of Graduate Studies 1986/01-06 Visiting Associate Professor Mathematics Univ. of Texas at Austin 1985/07-12 Visiting Associate Professor Biostatistics Harvard School of Public Health 1985-86 Associate Professor Statistics Univ. of British Columbia Tenured Statistics Univ. of British Columbia 1980-85 Assistant Professor Statistics & Mathematics Univ. of British Columbia 1979-80 Nato Postdoctoral Fellow Mathematics Imperial College, London 1 Honours 2020 Inaugural