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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 -
History of the Department of Statistics at Columbia University
Columbia University Statistics Tian Zheng and Zhiliang Ying Statistical Activities at Columbia Before 1946 Statistical activities at Columbia predate the formation of the department. Faculty members from other disciplines had carried out research and instruction of sta- tistics, especially in the Faculty of Political Sciences (Anderson 1955). Harold Hotelling’s arrival in 1931, a major turning point, propelled Columbia to a position of world leadership in Statistics. Hotelling’s primary research activities were in Mathematical, Economics, and Statistics but his interests had increasingly shifted toward Statistics. According to Paul Samuelson (Samuelson 1960), ‘‘It was at Columbia, in the decade before World War II, that Hotelling became the Mecca towards whom the best young students of economics and mathematical statistics turned. Hotelling’s increasing preoccupation with mathematical statistics was that discipline’s gain but a loss to the literature of economics.’’ His many contributions include canonical correlation, principal components and Hotelling’s T2. In 1938, after attending a conference of the Cowles Commission for Research in Economics, Abraham Wald, concerned by the situation in Europe, decided to stay in the United States. With Hotelling’s assistance, Wald came to Columbia on A substantial part of this chapter was developed based on Professor T. W. Anderson’s speech during our department’s sixtieth year anniversary reunion. We thank Professor Anderson for his help (as a founding member of our department) during the preparation of this chapter, our current department faculty members, Professors Ingram Olkin, and and Tze Leung Lai for their comments and suggestions on earlier versions of this chapter. Columbia University, Room 1005 SSW, MC 4690 1255 Amsterdam Avenue, New York, NY 10027, USA T. -
Probability Sampling Designs: Principles for Choice of Design and Balancing
STATISTICAL SCIENCE Volume 32, Number 2 May 2017 Special Section on Complex Surveys Introduction to the Design and Analysis of Complex Survey Data ..........................................................Chris Skinner and Jon Wakefield 165 Probability Sampling Designs: Principles for Choice of Design and Balancing ...........................................................Yves Tillé and Matthieu Wilhelm 176 Model-Assisted Survey Estimation with Modern Prediction Techniques ........................................................ F. Jay Breidt and Jean D. Opsomer 190 ConstructionofWeightsinSurveys:AReview.................................David Haziza and Jean-François Beaumont 206 ApproachestoImprovingSurvey-WeightedEstimates.....Qixuan Chen, Michael R. Elliott, David Haziza, Ye Yang, Malay Ghosh, Roderick J. A. Little, Joseph Sedransk and Mary Thompson 227 Inference for Nonprobability Samples . .............Michael R. Elliott and Richard Valliant 249 FittingRegressionModelstoSurveyData...............Thomas Lumley and Alastair Scott 265 OptionsforConductingWebSurveys................Matthias Schonlau and Mick P. Couper 279 Combining Survey Data with Other Data Sources ...........................................Sharon L. Lohr and Trivellore E. Raghunathan 293 General Section J. B. S. Haldane’s Contribution to the Bayes Factor Hypothesis Test .................................................Alexander Etz and Eric-Jan Wagenmakers 313 Statistical Science [ISSN 0883-4237 (print); ISSN 2168-8745 (online)], Volume 32, Number 2, May 2017. Published -
NUS-IMPRINT 9.Indd 7 2006-11-27 12:17:47 ISSUE 9 Newsletter of Institute for Mathematical Sciences, NUS 2006
Newsletter of Institute for Mathematical Sciences, NUS 2006 ISSUE 9 Newsletter of Institute for Mathematical Sciences, NUS 2006 Mathematical Conversations David Siegmund: Change-point, a consequential analysis >>> Probability. He was president of the Bernoulli Society and of the Institute of Mathematical Statistics. His numerous papers deal with theoretical questions in probability theory as well as concrete applications concerning clinical trials and gene mapping. He wrote two books (the first jointly with Y.S. Chow and H. Robbins) which are now classics in sequential analysis. David Siegmund‘s long association with NUS dates back to the 1980s (as external examiner for the University of Singapore) and continues as a founding member of the Scientific Advisory Board of the University‘s Institute for Mathematical Sciences since 2001. When he visited the Department of Statistics and Applied Probability (DSAP) from October to December 2005, Y.K. Leong interviewed him at DSAP on behalf of Imprints. The following is an edited and revised transcript of this interview in which he talks passionately about his early attraction to mathematics, his subsequent search for the relevance of the mathematical sciences and a calling which he finds David Siegmund fascinating and challenging in theory and application. Here he also shares with us his rich experience in research and Interview of David Siegmund by Y.K. Leong (matlyk@nus. administration. edu.sg) Imprints: Were you already fascinated by statistical David O. Siegmund is widely acclaimed for his fundamental mathematics in your school days? Were your school teachers 7 contributions to the theory of optimal stopping time instrumental in attracting you to statistics? in sequential analysis and for his recent work on the application of analysis to genomics. -
A Conversation with Tze Leung Lai Ying Lu Stanford University And
Submitted to Statistical Science A Conversation with Tze Leung Lai Ying Lu Stanford University and Dylan S. Small University of Pennsylvania and Zhiliang Ying Columbia University Abstract. This conversation began in June 2015 in the Department of Statistics at Columbia University during Lai's visit to his alma mater where he celebrated his seventieth birthday. It continued in the subsequent years at Columbia and Stanford. Lai was born on June 28, 1945 in Hong Kong, where he grew up and attended The University of Hong Kong, receiving his B.A. degree (First Class Honors) in Mathematics in 1967. He went to Columbia University in 1968 for graduate study in statistics and received his Ph.D. degree in 1971. He stayed on the faculty at Columbia and was appointed Higgins Professor of Mathematical Statistics in 1986. A year later he moved to Stanford, where he is currently Ray Lyman Wilbur Pro- fessor of Statistics, and by courtesy, also of Biomedical Data Science and Computational & Mathematical Engineering. He is a fellow of the Institute of Mathematical Statistics, the American Statistical Association, and an elected member of Academia Sinica in Taiwan. He was the third recipient of the COPSS Award which he won in 1983. He has been married to Letitia Chow since 1975, and they have two sons and two grandchildren. Key words and phrases: Hong Kong, Columbia University, Stanford Uni- versity, Statistics, Biostatistics, Sequential Experimentation, Mathematical Finance. Ying Lu is Professor of Biomedical Data Science, and by courtesy, of Radiology and Health Research & Policy, Stanford University; CA 94305, USA (e-mail: [email protected]). -
A Conversation with Herman Chernoff John Bather
Statistical Science 1996, Vol. 11, No. 4, 335{350 A Conversation with Herman Chernoff John Bather Abstract. Herman Chernoff was born in New York City on 1 July 1923. He went to school there and later received the B.S. degree from the City College of New York in 1943, majoring in mathematics with a minor in physics. For a year and a half, he worked as a junior physicist with the U.S. Navy, before joining Brown University for graduate work in applied mathematics. His studies were interrupted by a short period in the U.S. Army, and then his interest in statistics led him to complete his Ph.D. thesis at Columbia University under the supervision of Abraham Wald. At Brown University, Herman met Judy Ullman. They have been married since 1947 and have two daughters, Ellen and Miriam. Herman worked for the Cowles Commission at the University of Chicago and then spent three years in the Mathematics Department at the Uni- versity of Illinois before joining the Department of Statistics at Stanford University in 1952, where he remained for 22 years. He moved to M.I.T. in 1974, where he founded the Statistics Center. Since 1985 he has been in the Department of Statistics at Harvard. Professor Chernoff has been honored for his contributions in many ways. He was President of the Institute of Mathematical Statistics and is an elected member of both the American Academy of Arts and Sciences and the National Academy of Sciences. The book Recent Advances in Statis- tics published in honor of his 60th birthday in 1983 contained papers in the fields where his influence as a researcher and teacher has been strong: design and sequential analysis, optimization and control, non- parametrics, large sample theory and statistical graphics.