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Curriculum Vitae: Michael W. Trosset
Curriculum Vitae: Michael W. Trosset Department of Statistics Telephone: (812) 856-1178 Indiana University E-mail: [email protected] Bloomington, IN 47401 Web Page: http://www.math.wm.edu/∼trosset/ Education • University of California, Berkeley (Department of Statistics); Fannie & John Hertz Foundation Fellow, September 1978 to December 1981; Dissertation: Minimax Estimation With Side Conditions, directed by Peter J. Bickel; Ph.D., December 1983. • Rice University (Mathematics and Mathematical Sciences); B.A., summa cum laude, May 1978. Employment • Professor, Department of Statistics, Indiana University. August 2006 to present. • Director, Indiana Statistical Consulting Center. August 2006 to present. • Associate Professor, Department of Mathematics, College of William & Mary. August 1998 to June 2006. Promoted to Professor in April 2006. • Formerly Visiting Associate Professor and Adjunct Lecturer, Departments of Mathematics, Statistics, and Psychology, University of Arizona (August 1993 to July 1998); Senior Postdoctoral Fellow, W.M. Keck Center for Computational Biology and Visiting Lecturer, Department of Statistics, Rice Uni- versity (September 1996 to June 1997); Visiting Lecturer, Department of Computational & Applied Mathematics, Rice University (Spring 1993); Consultant (June 1988 to July 1998); Assistant Pro- fessor, Department of Statistics, University of Arizona (August 1984 to December 1988); Instructor, Department of Mathematical Sciences, Rice University (January 1982 to May 1984); Research Assis- tant, Division of -
Kshitij Khare
Kshitij Khare Basic Information Mailing Address: Telephone Numbers: Internet: Department of Statistics Office: (352) 273-2985 E-mail: [email protected]fl.edu 103 Griffin Floyd Hall FAX: (352) 392-5175 Web: http://www.stat.ufl.edu/˜kdkhare/ University of Florida Gainesville, FL 32611 Education PhD in Statistics, 2009, Stanford University (Advisor: Persi Diaconis) Masters in Mathematical Finance, 2009, Stanford University Masters in Statistics, 2004, Indian Statistical Institute, India Bachelors in Statistics, 2002, Indian Statistical Institute, India Academic Appointments University of Florida: Associate Professor of Statistics, 2015-present University of Florida: Assistant Professor of Statistics, 2009-2015 Stanford University: Research/Teaching Assistant, Department of Statistics, 2004-2009 Research Interests High-dimensional covariance/network estimation using graphical models High-dimensional inference for vector autoregressive models Markov chain Monte Carlo methods Kshitij Khare 2 Publications Core Statistics Research Ghosh, S., Khare, K. and Michailidis, G. (2019). “High dimensional posterior consistency in Bayesian vector autoregressive models”, Journal of the American Statistical Association 114, 735-748. Khare, K., Oh, S., Rahman, S. and Rajaratnam, B. (2019). A scalable sparse Cholesky based approach for learning high-dimensional covariance matrices in ordered data, Machine Learning 108, 2061-2086. Cao, X., Khare, K. and Ghosh, M. (2019). “High-dimensional posterior consistency for hierarchical non- local priors in regression”, Bayesian Analysis 15, 241-262. Chakraborty, S. and Khare, K. (2019). “Consistent estimation of the spectrum of trace class data augmen- tation algorithms”, Bernoulli 25, 3832-3863. Cao, X., Khare, K. and Ghosh, M. (2019). “Posterior graph selection and estimation consistency for high- dimensional Bayesian DAG models”, Annals of Statistics 47, 319-348. -
Newsletter of the Department of Mathematics and Statistics, UMBC
News@Math&Stat Department of Mathematics and Statistics University of Maryland, Baltimore County 1000 Hilltop Circle, Baltimore, MD 21250, 410-455-2412, www.math.umbc.edu Spring 2012, Volume 7, Issue 1, Editor: Angela McNulty ([email protected]) Welcome by Department Chair Nagaraj K. Neerchal It is a pleasure to bring to you the Spring 2012 issue of the department newsletter. The Mathematics and Statistics Department hosted two large conferences; the Infinite Possibilities Conference, which is designed to support minority women in mathematics, and our 6th annual Probability and Statistics Day Conference. Both were a huge success! We’ve also had a number of students recognized throughout the semester at URCAD, the Graduate Research Conference, and Student Recognition Day for their academic and research achievements. Several faculty members have also been recognized this semester for their achievements in teaching and research. I am proud to say that we have a very talented and dedicated group of faculty and students in this department, and it showed this semester! Thank you to everyone who helped to make this spring yet another successful semester for the department. News from the Graduate Program by Program Directors Muruhan Rathinam and Junyong Park Congratulations to the following students who have completed their Master of Science degrees in Applied Mathematics or Statistics in May 2012! In Applied Mathematics: Jesse Haas, Jonathan McHenry*, Jyoti Saraswat*, Serap Tay*, and Ting Wang*. In Statistics: Joshua Betz, Paula Borrego Garza, Sungwoo Choi*, and Merve Gurlu. The students with asterisks beside their names will be continuing their studies in the PhD program. -
Xin-Tu-CV.Pdf
UNIVERSITY OF ROCHESTER Curriculum Vitae December 2013 Xin Ming Tu, Ph.D. Office Address: Department of Biostatistics and Computational Biology University of Rochester 601 Elmwood Ave., Box 630 Rochester, NY 14642 Telephone: (585) 275-0413 (Office) FAX: (585) 573-4865 Email: [email protected] Education: 1982 B.S. Fudan University, Shanghai, People’s Republic of China (Mathematics) 1986 M.A. Duke University, (Statistics and Numerical Analysis) 1989 Ph.D. Duke University, (Statistics and Applied Mathematics) Postgraduate Training and Fellowship Appointments: 1990-1992 Post Doctoral Fellow, Department of Biostatistics, Harvard School of Public Health Military Service: None Faculty Appointments: 1992-1998 Assistant Professor of Statistics and Psychiatry, Department of Statistics and Department of Psychiatry, University of Pittsburgh 1998-1998 Associate Professor of Statistics and Psychiatry, Department of Statistics and Department of Psychiatry, University of Pittsburgh Xin Ming Tu, Ph.D. 2 1998-2003 Associate Professor of Biostatistics, Department of Biostatistics and Epidemiology, University of Pennsylvania, School of Medicine 2003-present Professor of Biostatistics and Psychiatry, Department of Biostatistics and Computational Biology and Department of Psychiatry, University of Rochester School of Medicine 2003-present Director, Statistical Consulting Services (http://www.urmc.rochester.edu/biostat/consulting/) 2007-present Director, Division of Psychiatric Statistics (http://www.urmc.rochester.edu/biostat/dps/) 2007-present Director, -
Area13 ‐ Riviste Di Classe A
Area13 ‐ Riviste di classe A SETTORE CONCORSUALE / TITOLO 13/A1‐A2‐A3‐A4‐A5 ACADEMY OF MANAGEMENT ANNALS ACADEMY OF MANAGEMENT JOURNAL ACADEMY OF MANAGEMENT LEARNING & EDUCATION ACADEMY OF MANAGEMENT PERSPECTIVES ACADEMY OF MANAGEMENT REVIEW ACCOUNTING REVIEW ACCOUNTING, AUDITING & ACCOUNTABILITY JOURNAL ACCOUNTING, ORGANIZATIONS AND SOCIETY ADMINISTRATIVE SCIENCE QUARTERLY ADVANCES IN APPLIED PROBABILITY AGEING AND SOCIETY AMERICAN ECONOMIC JOURNAL. APPLIED ECONOMICS AMERICAN ECONOMIC JOURNAL. ECONOMIC POLICY AMERICAN ECONOMIC JOURNAL: MACROECONOMICS AMERICAN ECONOMIC JOURNAL: MICROECONOMICS AMERICAN JOURNAL OF AGRICULTURAL ECONOMICS AMERICAN POLITICAL SCIENCE REVIEW AMERICAN REVIEW OF PUBLIC ADMINISTRATION ANNALES DE L'INSTITUT HENRI POINCARE‐PROBABILITES ET STATISTIQUES ANNALS OF PROBABILITY ANNALS OF STATISTICS ANNALS OF TOURISM RESEARCH ANNU. REV. FINANC. ECON. APPLIED FINANCIAL ECONOMICS APPLIED PSYCHOLOGICAL MEASUREMENT ASIA PACIFIC JOURNAL OF MANAGEMENT AUDITING BAYESIAN ANALYSIS BERNOULLI BIOMETRICS BIOMETRIKA BIOSTATISTICS BRITISH JOURNAL OF INDUSTRIAL RELATIONS BRITISH JOURNAL OF MANAGEMENT BRITISH JOURNAL OF MATHEMATICAL & STATISTICAL PSYCHOLOGY BROOKINGS PAPERS ON ECONOMIC ACTIVITY BUSINESS ETHICS QUARTERLY BUSINESS HISTORY REVIEW BUSINESS HORIZONS BUSINESS PROCESS MANAGEMENT JOURNAL BUSINESS STRATEGY AND THE ENVIRONMENT CALIFORNIA MANAGEMENT REVIEW CAMBRIDGE JOURNAL OF ECONOMICS CANADIAN JOURNAL OF ECONOMICS CANADIAN JOURNAL OF FOREST RESEARCH CANADIAN JOURNAL OF STATISTICS‐REVUE CANADIENNE DE STATISTIQUE CHAOS CHAOS, SOLITONS -
Rank Full Journal Title Journal Impact Factor 1 Journal of Statistical
Journal Data Filtered By: Selected JCR Year: 2019 Selected Editions: SCIE Selected Categories: 'STATISTICS & PROBABILITY' Selected Category Scheme: WoS Rank Full Journal Title Journal Impact Eigenfactor Total Cites Factor Score Journal of Statistical Software 1 25,372 13.642 0.053040 Annual Review of Statistics and Its Application 2 515 5.095 0.004250 ECONOMETRICA 3 35,846 3.992 0.040750 JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION 4 36,843 3.989 0.032370 JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY 5 25,492 3.965 0.018040 STATISTICAL SCIENCE 6 6,545 3.583 0.007500 R Journal 7 1,811 3.312 0.007320 FUZZY SETS AND SYSTEMS 8 17,605 3.305 0.008740 BIOSTATISTICS 9 4,048 3.098 0.006780 STATISTICS AND COMPUTING 10 4,519 3.035 0.011050 IEEE-ACM Transactions on Computational Biology and Bioinformatics 11 3,542 3.015 0.006930 JOURNAL OF BUSINESS & ECONOMIC STATISTICS 12 5,921 2.935 0.008680 CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS 13 9,421 2.895 0.007790 MULTIVARIATE BEHAVIORAL RESEARCH 14 7,112 2.750 0.007880 INTERNATIONAL STATISTICAL REVIEW 15 1,807 2.740 0.002560 Bayesian Analysis 16 2,000 2.696 0.006600 ANNALS OF STATISTICS 17 21,466 2.650 0.027080 PROBABILISTIC ENGINEERING MECHANICS 18 2,689 2.411 0.002430 BRITISH JOURNAL OF MATHEMATICAL & STATISTICAL PSYCHOLOGY 19 1,965 2.388 0.003480 ANNALS OF PROBABILITY 20 5,892 2.377 0.017230 STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT 21 4,272 2.351 0.006810 JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS 22 4,369 2.319 0.008900 STATISTICAL METHODS IN -
Ronald Christensen
Ronald Christensen Professor of Statistics University of New Mexico Department of Mathematics and Statistics EDUCATION: Ph.D., Statistics, University of Minnesota, 1983. M.S., Statistics, University of Minnesota, 1976. B.A., Mathematics, University of Minnesota, 1974. EXPERIENCE: 1994- Professor, Department of Mathematics and Statistics, University of New Mexico. 1998-2001, 2003- Founding Director, Statistics Clinic, University of New Mexico. 1988-1994 Associate Professor, Department of Mathematics and Statistics, University of New Mexico. 1982-1988 Assistant Professor, Department of Mathematical Sciences, Montana State Uni- versity. 1994 Visiting Professor, Department of Mathematics and Statistics, University of Canterbury, Chch., N.Z. 1987 Visiting Assistant Professor, Department of Theoretical Statistics, University of Minnesota. RESEARCH INTERESTS: Linear Models Bayesian Inference Log-linear and Logistic Regression Models Statistical Methods SOCIETIES AND HONORS: Fellow of the American Statistical Association, 1996 Fellow of the Institute of Mathematical Statistics, 1998 International Biometric Society American Society for Quality Phi Beta Kappa 1 PUBLICATIONS: 1. Christensen, Ronald (2007). \Notes on the decompostion of effects in full factorial experimental designs." Quality Engineering, accepted. (Letter.) 2. Yang, Mingan, Hanson, Timothy, and Christensen, Ronald (2007). \Nonparametric Bayesian estimation of a bivariate density with interval censored data." Statistics in Medicine, under review. 3. Christensen, Ronald (2007). \Discussion: Dimension reduction, nonparametric regres- sion, and multivariate linear models." Statistical Science, accepted. 4. Christensen, Ronald and Johnson, Wesley (2007). \A Conversation with Seymour Geisser." Statistical Science, accepted. 5. Christensen, Ronald (2006). \Comment on Monahan (2006)." The American Statisti- cian, 60, 295. 6. Christensen, Ronald (2006). \General prediction theory and the role of R2." The American Statistician, under revision. -
1 Thirty-Five Years of Journal of Econometrics Takeshi Amemiya
1 Thirty-Five Years of Journal of Econometrics Takeshi Amemiya1 I. Introduction I am pleased to announce that Elsevier has agreed to sponsor the Amemiya lecture series for the Journal of Econometrics to promote econometrics research in developing countries. It is my honor to give the first lecture of the series. This idea was proposed by Cheng Hsiao, who believes that despite the tremendous advancement of econometric methodology in the last two or three decades, it does not seem to have had much impact on scholars in the third world countries. At the same time, the research interests of scholars in the third world countries, which naturally reflect their unique situation, have not attracted the attention of scholars in developed countries. This makes the submissions from developing countries difficult to go through the refereeing process of the Journal. There is, however, tremendous interest in the subject and scholars and students in the developing countries are eager to learn. For example, when Yongmiao Hong, associate editor of the Journal, organized a summer econometrics workshop in 2006 in Xiamen, China, with the sponsorship of the Journal of Econometrics, Chinese Ministry of Education, and Chinese Academy of Sciences, it attracted 610 applicants, although in the end only 230 were allowed to enroll due to space constraints. We hope that through this lecture series, we can enhance the interactions between scholars in the third world countries and scholars in the developed countries. See Table A, which classifies published articles according to the countries in which the authors resided during 1981- 1999, and Table B, the same data during 2000-2007. -
Ten Things We Should Know About Time Series
KIER DISCUSSION PAPER SERIES KYOTO INSTITUTE OF ECONOMIC RESEARCH Discussion Paper No.714 “Great Expectatrics: Great Papers, Great Journals, Great Econometrics” Michael McAleer August 2010 KYOTO UNIVERSITY KYOTO, JAPAN Great Expectatrics: Great Papers, Great Journals, Great Econometrics* Chia-Lin Chang Department of Applied Economics National Chung Hsing University Taichung, Taiwan Michael McAleer Econometric Institute Erasmus School of Economics Erasmus University Rotterdam and Tinbergen Institute The Netherlands and Institute of Economic Research Kyoto University Japan Les Oxley Department of Economics and Finance University of Canterbury New Zealand Rervised: August 2010 * The authors wish to thank Dennis Fok, Philip Hans Franses and Jan Magnus for helpful discussions. For financial support, the first author acknowledges the National Science Council, Taiwan; the second author acknowledges the Australian Research Council, National Science Council, Taiwan, and the Japan Society for the Promotion of Science; and the third author acknowledges the Royal Society of New Zealand, Marsden Fund. 1 Abstract The paper discusses alternative Research Assessment Measures (RAM), with an emphasis on the Thomson Reuters ISI Web of Science database (hereafter ISI). The various ISI RAM that are calculated annually or updated daily are defined and analysed, including the classic 2-year impact factor (2YIF), 5-year impact factor (5YIF), Immediacy (or zero-year impact factor (0YIF)), Eigenfactor score, Article Influence, C3PO (Citation Performance Per Paper Online), h-index, Zinfluence, and PI-BETA (Papers Ignored - By Even The Authors). The ISI RAM data are analysed for 8 leading econometrics journals and 4 leading statistics journals. The application to econometrics can be used as a template for other areas in economics, for other scientific disciplines, and as a benchmark for newer journals in a range of disciplines. -
Mathematical Statistics in 20Th-Century America
HISTORIA MATHEMATICA 23 (1996), 7±30 ARTICLE NO. 0002 Drawing the Boundaries: Mathematical Statistics in 20th-Century America PATTI W. HUNTER View metadata, citation and similar papers at core.ac.uk brought to you by CORE Department of Mathematics, University of Virginia, Charlottesville, Virginia 22903-3199 provided by Elsevier - Publisher Connector Statistics in Europe and in the United States acquired the status of a separate ®eld only in the 20th century. Until then, it had provided a quantitative tool for analyzing data in various sciences. In the early 1930s, the founding of the Annals of Mathematical Statistics and of the Institute of Mathematical Statistics served to institutionalize the profession of mathematical statistics in the United States, and helped to distinguish it as a discipline independent from the social sciences which had previously supported it. This paper examines the American mathematical statisticians' attempts to delineate the boundaries of their profession, focusing on their association with the social sciences, on the founding of the Annals and of the IMS, and on the profession's continuing advancement during World War II. 1996 Academic Press, Inc. Il n'eÂtait qu'au 20eÁme sieÁcle que la statistique est devenue une discipline distincte. AnteÂrieure- ment, elle a servi d'outil quantitatif pour l'analyse des donneÂes dans les sciences diverses. Dans les 1930s, l'eÂtablissement des Annals of Mathematical Statistics et de l'Institute of Mathematical Statistics a amene l'institutionalisation d'une profession ``statistique matheÂmatique'' et a servi aÁ distinguer cette profession des sciences sociales. Ici, j'analyse les tentatives des statisticiens matheÂmatiques ameÂricains d'eÂtablir les frontieÁres de leur discipline en concentrant sur leurs associations avec les sciences sociales, le fondement des Annals et de l'IMS, et le progreÁsde la profession pendant la deuxieÁme guerre mondiale. -
Douglas William Nychka
Douglas William Nychka Education 1978 B.A. Mathematics and Physics, Duke University 1983 Ph.D. Statistics, University of Wisconsin - Madison Honors and Awards 1978 Summa cum laude, Duke University 1978 Julia Dale Mathematics Award Duke University 2003 Fellow, American Statistical Association 2004 Jerry Sacks Award for Multidisciplinary Research 2013 Distinguished Achievement Award ENVR Section American Statistical Association 2013 Achievement Award, International Statistics and Climatology Meeting 2015 Fellow, Institute of Mathematical Statistics Professional Appointments 8/18 - present Professor, Department of Applied Mathematics and Statistics, Col- orado School of Mines, Golden, CO 8/97 - 8/18 National Center for Atmospheric Research, Boulder, CO. Visiting Scientist (8/97-7/99), Senior Scientist (8/99 - present), Project leader (8/99 - 9/04) Geophysical Statistics Project, Director (10/04 - 2017), Institute for Mathematics Applied to Geo- sciences (IMAGe) Senior Scientist Emeritus (8/18 - present) 7/83 - 6/99 Department of Statistics, North Carolina State University, Raleigh, NC Assistant (7/83 - 6/89), Associate (7/89 - 6/94) and Full Profes- sor (7/94 - 7/99), 1/94 - 7/03 National Institute of Statistical Sciences, Research Triangle Park, NC, Senior Fellow (1/94 -7/99) and Trustee (2000 - 2003) 6/93 and 6/08 Isaac Newton Institute for the Mathematical Sciences, Cambridge, England, Visiting Scholar 5/88 - 6/88, 6/92 Statistics Group, University of Bath, Bath, England, Visiting Faculty 7/89, 8/90 - 12/90 Operations Research and Industrial -
Academic Standards and Conventions2002
Partial Academic Standards and Conventions Department of Statistics Florida State University June 27, 2002 I. Important Journals in Statistics by Subdiscipline A. Mathematical Statistics and Probability 1. Top Tier Journals Annals of Applied Probability Annals of Probability Annals of Statistics Biometrika Journal of the American Statistical Association 2. Second Tier Journals Advances in Applied Probability Annals of Inst. H. Poincaré Bernoulli Canadian Journal of Statistics Journal of Applied Probability Journal of Multivariate Analysis Journal of Nonparametric Statistics Journal of the Royal Statistical Society, Series B Journal of Statistical Planning and Inference Journal of Time Series Analysis Lifetime Data Analysis Probability Theory and Related Fields Sankhya 1 Scandinavian Journal of Statistics Statistica Sinica Statistical Inference for Stochastic Processes Statistics Statistics and Decisions Statistics and Probability Letters Stochastic Processes and their Applications There are many other reputable journals, not listed, which are of lesser prestige. B. Applied and Computational Statistics 1. Top Tier Journals Biometrics Biometrika IEEE Transactions on Information Theory IEEE Transactions on Pattern Analysis and Machine Intelligence Journal of the American Statistical Association Technometrics 2. Second Tier Journals American Statistician Applied Statistics Biostatistics Computational Statistics and Data Analysis IEEE Transactions on Signal Processing Journal of Agricultural, Biological and Environmental Statistics Journal of Computational Statistics 2 Journal of Computational and Graphical Statistics Journal of Quality Technology Lifetime Data Analysis SIAM Journals Statistics in Medicine There are many other reputable journals, not listed, which are of lesser prestige. C. Top Tier Review Journals International Statistical Institute Review Statistical Science II. Important Publishers Academic Press Cambridge University Press Chapman & Hall John Wiley Marcell Dekker Oxford University Press Springer-Verlag III.