DOCSLIB.ORG

Aleksandra B. Slavkovic´

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
Aleksandra B. Slavkovic´ Aleksandra B. Slavkovic´ CONTACT Department of Statistics Phone: (814) 863-4918 421A Thomas Building Fax: (814) 863-7114 Penn State University E-mail: [email protected] University Park, PA 16802 http://personal.psu.edu/abs12/ EDUCATION Carnegie Mellon University, Pittsburgh, PA Ph.D. Statistics August 2004 Advisor: Stephen E. Fienberg M.S. Statistics May 2001 Masters in Human-Computer Interaction, December 1999 Duquesne University, Pittsburgh, PA B.A.(Magna Cum Laude), December 1996 Major: Psychology Minor: Biology PROFESSIONAL Penn State University, Eberly College of Science, University Park, PA CAREER Associate Dean for Graduate Education, January 2018 - present Penn State University, Department of Statistics, University Park, PA Co-Director of Online Programs, August 2017 - August 2018 Professor, July 2015 - present Associate Head for Diversity & Equity, October 2014 - October 2017 Associate Head for Graduate Studies, July 2013 - present Associate Professor, July 2010 - June 2015 Assistant Professor, August 2004 - June 2010 University of California, Berkeley, Simons Institute for the Theory of Computing, Berkeley, CA Semester Program: Data Privacy: Foundations and Applications Long-Term Visitor, January-May 2019 Penn State University, Department of Public Health Sciences, College of Medicine, Hershey, PA Professor, July 2015 - present Associate Professor, August 2010 - June 2015 Penn State University, Clinical Translational Science Institute, Hershey, PA & Uni- versity Park, PA Data Privacy Officer, June 2011 - June 2016 Penn State University, The Institute for CyberScience, University Park, PA Affiliated Faculty, January 2008 - present Cornell University, The Labor Dynamics Institute, ILR School, Ithaca, NY. Visiting Professor, January 2013-May 2013 Utrecht University, Department of Methodology & Statistics, Utrecht, The Nether- lands. Visiting Researcher, September 2012-December 2012 University of Minnesota, The Institute for Mathematics and its Applications, Min- neapolis, MN. Annual Program: Applications of Algebraic Geometry Visiting Researcher, January-March 2007 Carnegie Mellon University, The Tepper School of Business, Pittsburgh, PA Teaching Instructor, May - June 2002 Carnegie Mellon University, Department of Statistics, Pittsburgh, PA Research Assistant, January 2003 - August 2004 Research Assistant/Consultant, January 2001 - March 2002 Consultant to the National Academy of Sciences/National Research Council Committee to Review the Scientific Evidence on the Polygraph. Teaching Instructor, Head Teaching Assistant, May 2000 - May 2004 Carnegie Mellon University, School of Computer Science, Pittsburgh, PA. Research Assistant, April 1997 - May 1999 TEACHING Penn State University EXPERIENCE Analysis of Discrete Data (STAT 504 - PSU World Campus), Spring 2007-2011/Spring 2014 Analysis of Discrete Data (STAT 504), Spring 2005/06/07/08/09/10/11/15 Applied Statistics (STAT 500 - PSU World Campus), Fall 2010 Categorical Data Analysis (STAT 544), Fall 2008/09, Fall 2011 Colloquium & Perspectives on Statistics (STAT 590), Fall 2014/15, Spring 2015/16 Data Privacy (STAT 597B), Fall 2014 Data Privacy (STAT 598B/CSE 598D), Fall 2007 Design and Analysis of Experiments (STAT 512), Spring 2012 Intermediate Applied Statistics (STAT 460), Fall 2004/05/06/07 Introduction to Computing Environments (STAT 597C), Fall 2008/09 Regression Analysis and Modeling (STAT 511), Fall 2011/13/17/18 Sampling Theory and Methods (STAT 506 - PSU World Campus), Fall 2015 Statistical Concepts and Reasoning (STAT 100), Spring 2016 Science Outreach and Communications (SC 451) – supervising, Fall 2018/19, Spring 2021. Carnegie Mellon University Introduction to Probability and Statistics (46731), Summer 2002 Introduction to Statistical Reasoning (36201), Summer 2000 FACULTY, Advisor, Science Achievement Graduate Fellows Program, Eberly College of Science, POSTDOC, Penn State, January 2018 - present STUDENT ADVISING & Advisor and Chair, Graduate Students Climate and Diversity Committee, Eberly Col- MENTORING lege of Science, Penn State, January 2018 - September 2020 Faculty Advisor, Statistics Graduate Students Association, Department of Statistics, Penn State, Fall 2014 - January 2018 Junior Faculty Mentor, for a number of faculty in the Statistics Department, Penn State University & 2019 NISS Writing Workshop for Junior Researchers (at JSM). Training Mentors in STEM, for all faculty in Eberly College of Science, Penn State University, co-organizer of the program, including workshops. Co-organizer and mentor, Women in Statistics and Data Science, Penn State Univer- sity, November 2019 - present. Postdoc & Research associate Advisor: • Carlos Soto, 2020 – present (co-advised, M. Reimherr). • Roberto Molinari, 2018 – 2020 (Assistant Professor at Auburn University). • Thomas Kent, 2018 – 2020 (Statistician, USDA). • Jing Lei, 2011-2012 (Assistant Professor at Carnegie Mellon University). PhD Thesis Advisor: • Tran Tran (Statistics), expected May 2025 (co-advised, M. Reimherr) • Jeremy Seeman (Statistics), expected May 2024 (co-advised M. Reimherr) • Jonathan Hehir (Statistics), expected May 2023 • Ann Johnson (Statistics), expected May 2022 • Yuji Samizio (Statistics), expected December 2020 • Michelle Pistner (Statistics), December 2020 (Research Assistant Professor, IST at Penn State University) • Jordan Awan (Statistics), May 2020 (co-advised, M. Reimherr; Assistant Professor at Purdue University) • Joshua Snoke (Statistics), 2018 (Statistician, RAND) • Vishesh Karwa (Statistics), 2014 (Postdoctoral Fellow at Harvard and Carnegie Mel- lon, Assistant Professor at Ohio State University) • Jeffery Woo (Statistics), 2013 (Lecturer, University of Virginia) • Juyoun Lee (Statistics), 2009 (Senior Manager at Samsung) MS Thesis Advisor: • Ann Johnson (Statistics), August 2020 • Yuji Samizio (Statistics), August 2016 • Eftychia Solea (Statistics), May 2014 • Nicole Khoury (Statistics), May 2013 • Xiaotian Zhu (Mathematics), December 2008. • Byran Smucker (Statistics and Operations Research), December 2007 PhD Thesis Committee Member, minor advisor: • Mildred Maldonado-Molina (Human Development (statistics minor), 2005) • Lan Yu (Educational Psychology (statistics minor), 2007) • Tamika Gilreath (Biobehavioral Health Department (statistics minor) 2007) • Hyekyung Jung, (Statistics, 2007) • Bimal Balakrishnan (Mass Communication (statistics minor), 2008) • Gregorio Convertino (Information Sciences and Technology, 2008) • Yuejiao Ma (Statistics, 2009) • Alexander Yin (Higher Education (masters in applied statistics), 2009) • Qiong Wu (Educational Psychology (statistics minor), 2009) • Joanna Bissel (Human Development (statistics minor), 2010) • Wen Hu (Civil Engineering (statistics minor), 2010) • Hong Li (Educational Psychology (statistics minor), 2011) • Kun-Feng Wu (Civil Engineering (statistics minor), 2011) • Claudia Nau (Social Science, 2012) • Anna Wu (Information Sciences and Technology (statistics minor), 2012) • Abhradeep Guha Thakurta (Computer Science and Engineering, 2013) • Yeying Zhu (Statistics, 2013) • Yu Zhao (Educational Psychology (statistics minor), 2015) • Fei Yu (Statistics, at Carnegie Mellon University), 2015) • Eftychia Solea (Statistics, 2016) • Nicholas Papernot (Computer Sciences and Engineering), 2018) • Mark Umbricht (Higher Education (statistics minor), 2018) • Yue Wang (Computer Sciences and Engineering), 2019) • William Wright (Mathematics (statistics minor), 2019) • Edward Zechmann (Acoustics (statistics minor), 2019) • Haining Zhu (Information Sciences and Technology (statistics minor)), 2019) • Zeyu Ding ((Computer Sciences and Engineering) • Kyung Sun Chung (Educational Psychology (statistics minor)) • Claire Kelling (Statistics, (cmt. chair)) • Aria Khademi (Information Sciences and Technology (statistics minor)) • Daniel Kwon (Civil Engineering (statistics minor)) • Fernando del Solar (Acoustics) • Siddharth Vishwanath (Statistics) • Adam Walder (Statistics) MS Thesis Committee Member*, undergraduate, and project advisor: • Tran Tran (Statistics, Fall 2019-present) • Jeremy Seaman (Statistics, Fall 2019-present, so-advised with R. Molinari) • Jonathan Heihr (Statistics, Summer 2019-present) • Thomas Kent (Statistics, masters of applied statistics, Fall 2018-present) • Zhiyi He (Statistics, undergraduate honors thesis, Spring 2018-Spring 2019) • Anna Kinney (Statistics, Fall 2017 - Spring 2019, co-advised with M. Reimherr) • Jordan Awan (Statistics, Spring 2017-present) • Michelle Pitsner (Statistics, Summer 2016-present) • Ann Johnson (Statistics, Summer 2016-present, co-advised with S. Petrovic) • Ardalan Mirshani (Statistics, Summer 2015-Spring 2019, co-advised wtih M. Reimherr) • Ben Sheng (Stattsics, Summer 2015-present, co-advised with L. Bao) • Eftychia Solea (Statistics, Summer/Fall 2015, co-advised with B. Li) • Christopher Ipken (Demography, BDSS, Fall 2014-Spring 2015) • Muzi Zhang (Statistics, Summer 2015) • Anni Li (Statistics, undergraduate, Spring 2014) • Joshua Snoke (Statistics, Spring 2014 -Summer 2015) • Eftychia Solea (Statistics, Summer 2012) • Vishesh Karwa* (Civil Engineering, August 2009; independent study, Summer 2008) • Jeffery Woo (Statistics, independent study, Spring 2009) • Matthew Tibbits (Statistics, Summer/Fall 2007) • Tracey Wrobel (Statistics, Summer/Fall 2005) • Ashley Perretta (Statistics, undergraduate, independent study, Spring 2005) PROFESSIONAL Associate Editor: ACTIVITIES & • Annals of Applied Statistics (AOAS), December 2009 - present AFFILIATIONS • Journal of Privacy and Confidentiality
Load more

Recommended publications
  • Stephen Fienberg: Superman of Statistics Larry Wassermana,1
    RETROSPECTIVE RETROSPECTIVE Stephen Fienberg: Superman of statistics Larry Wassermana,1 Stephen E. Fienberg died on December 14, 2016 after career, bringing ever greater depth and breadth to a 4-year battle with cancer. He was husband to Joyce, the area. Ultimately, he led the effort to import father to Anthony and Howard, grandfather to six, tools from algebraic geometry into statistics to re- brother to Lorne, mentor, teacher, and a prolific veal subtle and exotic properties of statistical researcher. Most of all, he was a tireless promoter of models. the idea that the field of statistics could be a force of It is hard to summarize Steve’s work because of its good for science and, more broadly, for society. astonishing breadth. A list of topics he worked on is a Steve was born in Toronto in 1942. After receiving tour of the field: networks, graphical models, data pri- his bachelor’s degree in mathematics at the University vacy, forensic science, Bayesian inference, text analysis, of Toronto in 1964 he went on to earn a PhD in statistics statistics and the law, the census, surveys, cybersecur- at Harvard, which he completed in 1968. After stints ity, causal inference, the geometry of exponential fam- at the University of Chicago and the University of ilies, history of statistics, mixed membership, record Minnesota, he landed in the Department of Statistics linkage, the foundations of inference, and much more. at Carnegie Mellon in 1980, where he stayed for the Steve’s impact goes far beyond his published work rest of his career, except for two years when he in statistics.
    [Show full text]
  • Applied Statistics
    ISSN 1932-6157 (print) ISSN 1941-7330 (online) THE ANNALS of APPLIED STATISTICS AN OFFICIAL JOURNAL OF THE INSTITUTE OF MATHEMATICAL STATISTICS Special section in memory of Stephen E. Fienberg (1942–2016) AOAS Editor-in-Chief 2013–2015 Editorial......................................................................... iii OnStephenE.Fienbergasadiscussantandafriend................DONALD B. RUBIN 683 Statistical paradises and paradoxes in big data (I): Law of large populations, big data paradox, and the 2016 US presidential election . ......................XIAO-LI MENG 685 Hypothesis testing for high-dimensional multinomials: A selective review SIVARAMAN BALAKRISHNAN AND LARRY WASSERMAN 727 When should modes of inference disagree? Some simple but challenging examples D. A. S. FRASER,N.REID AND WEI LIN 750 Fingerprintscience.............................................JOSEPH B. KADANE 771 Statistical modeling and analysis of trace element concentrations in forensic glass evidence.................................KAREN D. H. PAN AND KAREN KAFADAR 788 Loglinear model selection and human mobility . ................ADRIAN DOBRA AND REZA MOHAMMADI 815 On the use of bootstrap with variational inference: Theory, interpretation, and a two-sample test example YEN-CHI CHEN,Y.SAMUEL WANG AND ELENA A. EROSHEVA 846 Providing accurate models across private partitioned data: Secure maximum likelihood estimation....................................JOSHUA SNOKE,TIMOTHY R. BRICK, ALEKSANDRA SLAVKOVIC´ AND MICHAEL D. HUNTER 877 Clustering the prevalence of pediatric
    [Show full text]
  • The Pacific Coast and the Casual Labor Economy, 1919-1933
    © Copyright 2015 Alexander James Morrow i Laboring for the Day: The Pacific Coast and the Casual Labor Economy, 1919-1933 Alexander James Morrow A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy University of Washington 2015 Reading Committee: James N. Gregory, Chair Moon-Ho Jung Ileana Rodriguez Silva Program Authorized to Offer Degree: Department of History ii University of Washington Abstract Laboring for the Day: The Pacific Coast and the Casual Labor Economy, 1919-1933 Alexander James Morrow Chair of the Supervisory Committee: Professor James Gregory Department of History This dissertation explores the economic and cultural (re)definition of labor and laborers. It traces the growing reliance upon contingent work as the foundation for industrial capitalism along the Pacific Coast; the shaping of urban space according to the demands of workers and capital; the formation of a working class subject through the discourse and social practices of both laborers and intellectuals; and workers’ struggles to improve their circumstances in the face of coercive and onerous conditions. Woven together, these strands reveal the consequences of a regional economy built upon contingent and migratory forms of labor. This workforce was hardly new to the American West, but the Pacific Coast’s reliance upon contingent labor reached its apogee after World War I, drawing hundreds of thousands of young men through far flung circuits of migration that stretched across the Pacific and into Latin America, transforming its largest urban centers and working class demography in the process. The presence of this substantial workforce (itinerant, unattached, and racially heterogeneous) was out step with the expectations of the modern American worker (stable, married, and white), and became the warrant for social investigators, employers, the state, and other workers to sharpen the lines of solidarity and exclusion.
    [Show full text]
  • Maria Cuellar CV (Current As of November 19, 2018)
    Maria Cuellar CV (Current as of November 19, 2018) Email: [email protected] Website: https://web.sas.upenn.edu/mcuellar/ Twitter: @maria__cuellar Phone number: (646) 463-1883 Address: 483 McNeil Building, 3718 Locust Walk, Philadelphia, PA 19104 FACULTY ACADEMIC APPOINTMENTS 7/2018- Assistant Professor University of Pennsylvania, Department of Criminology. POSTDOCTORAL TRAINING 1-6/2018 Postdoctoral Fellow University of Pennsylvania, Department of Criminology. EDUCATION 2013-2017 Ph.D. in Statistics and Public Policy Carnegie Mellon University (Advisor: Stephen E. Fienberg, Edward H. Kennedy). Dissertation: “Causal reasoning and data analysis in the law: Estimation of the probability of causation.” Top paper award, Statistics in Epidemiology Section of the American Statistical Association. 2013-2016 M.Phil. in Public Policy Carnegie Mellon University (Advisor: Stephen E. Fienberg). Thesis: “Shaken baby syndrome on trial: A statistical analysis of arguments made in court.” Best paper award, Heinz College of Public Policy. 2013-2015 M.S. in Statistics Carnegie Mellon University (Advisor: Jonathan P.Caulkins). Thesis: “Weeding out underreporting: A study of trends in reporting of marijuana consumption.” 2005-2009 B.A. in Physics Reed College (Advisor: Mary James). Thesis: “Using weak gravitational lensing to find dark matter distributions in galaxy clusters.” OTHER EXPERIENCE 2015-2017 Research Assistant, Center for Statistics and Applications in Forensic Evidence (CSAFE). Study statistical arguments used in court about shaken baby syndrome and forensic science techniques. 2015-2017 Research Assistant, National Science Foundation Census Research Network. Grant support. Develop new network survey sampling mechanisms for hard-to-reach populations. 2014-2015 Research Assistant, Drug Policy and BOTEC Analysis. Study trends in marijuana use in the National Survey of Drug Use and Health.
    [Show full text]
  • Elect New Council Members
    Volume 43 • Issue 3 IMS Bulletin April/May 2014 Elect new Council members CONTENTS The annual IMS elections are announced, with one candidate for President-Elect— 1 IMS Elections 2014 Richard Davis—and 12 candidates standing for six places on Council. The Council nominees, in alphabetical order, are: Marek Biskup, Peter Bühlmann, Florentina Bunea, Members’ News: Ying Hung; 2–3 Sourav Chatterjee, Frank Den Hollander, Holger Dette, Geoffrey Grimmett, Davy Philip Protter, Raymond Paindaveine, Kavita Ramanan, Jonathan Taylor, Aad van der Vaart and Naisyin Wang. J. Carroll, Keith Crank, You can read their statements starting on page 8, or online at http://www.imstat.org/ Bani K. Mallick, Robert T. elections/candidates.htm. Smythe and Michael Stein; Electronic voting for the 2014 IMS Elections has opened. You can vote online using Stephen Fienberg; Alexandre the personalized link in the email sent by Aurore Delaigle, IMS Executive Secretary, Tsybakov; Gang Zheng which also contains your member ID. 3 Statistics in Action: A If you would prefer a paper ballot please contact IMS Canadian Outlook Executive Director, Elyse Gustafson (for contact details see the 4 Stéphane Boucheron panel on page 2). on Big Data Elections close on May 30, 2014. If you have any questions or concerns please feel free to 5 NSF funding opportunity e [email protected] Richard Davis contact Elyse Gustafson . 6 Hand Writing: Solving the Right Problem 7 Student Puzzle Corner 8 Meet the Candidates 13 Recent Papers: Probability Surveys; Stochastic Systems 15 COPSS publishes 50th Marek Biskup Peter Bühlmann Florentina Bunea Sourav Chatterjee anniversary volume 16 Rao Prize Conference 17 Calls for nominations 19 XL-Files: My Valentine’s Escape 20 IMS meetings Frank Den Hollander Holger Dette Geoffrey Grimmett Davy Paindaveine 25 Other meetings 30 Employment Opportunities 31 International Calendar 35 Information for Advertisers Read it online at Kavita Ramanan Jonathan Taylor Aad van der Vaart Naisyin Wang http://bulletin.imstat.org IMSBulletin 2 .
    [Show full text]
  • Download a Poster (Right) to Display: See
    Volume 42 • Issue 2 IMS Bulletin March 2013 What you can do for IMS… CONTENTS and what IMS can do for you 1 Support, and be supported IMS President Hans Künsch writes: Back in the eighties, my main by, the IMS reason for joining IMS was that this allowed me to purchase my own copy of the Annals of Statistics at a cheap price. Although the 2–3 Members’ News: Peter Hall; Annals were also available at three different libraries at my univer- J K Ghosh; Jean Opsomer; sity, that was an advantage because I immediately saw when a new JP Morgan; NISS news; AMS issue had arrived and I did not have to copy those articles that I Fellows; Shahjahan Khan Hans Künsch wanted to read. Nowadays, things have completely changed: I can 4 Distinguished Statistician get email alerts for newly-accepted papers, and I have all journals available online on Film: Stephen Fienberg my computer through our university library subscription. So this incentive to become 5 X-L Files: A Fundamental an IMS member has disappeared. Moreover, universities have reduced multiple sub- Link between Statistics and scriptions in order to keep up with shrinking budgets and rising prices. Humor The effects of these changes can be seen clearly in the figures of the Treasurer’s 6 Obituary: George Casella report (see IMS Bulletin, June/July 2012): The number of members who still take print copies of our journals has gone down by 50–70% over 10 years, the number of 7 In Search of a Statistical institutional subscriptions has gone down by approximately 10% over 10 years, and Culture the total number of members (excluding free members) is also declining slowly since 8 Recent papers: Statistics 2007.
    [Show full text]
  • A Conversation with Stephen E. Fienberg 3
    Statistical Science 2013, Vol. 28, No. 3, 447–463 DOI: 10.1214/12-STS411 c Institute of Mathematical Statistics, 2013 A Conversation with Stephen E. Fienberg Miron L. Straf and Judith M. Tanur Abstract. Stephen E. Fienberg is Maurice Falk University Professor of Statistics and Social Science at Carnegie Mellon University, with appointments in the Department of Statistics, the Machine Learning Department and the Heinz College. He is the Carnegie Mellon co-director of the Living Analytics Research Centre, a joint center between Carnegie Mellon University and Singapore Management University. Fienberg received his hon. B.Sc. in Mathematics and Statistics from the University of Toronto (1964), and his A.M. (1965) and Ph.D. (1968) degrees in Statistics at Harvard University. He has served as Dean of the College of Humanities and Social Sciences at Carnegie Mellon and as Vice President for Academic Affairs at York University in Toronto, Canada, as well as on the faculties of the University of Chicago and the University of Minnesota. He was founding co-editor of Chance and served as the Coordinating and Applications Editor of the Journal of the American Statistical Association. He is one of the founding editors of the Annals of Applied Statistics, co-founder and editor-in-chief of the new online Journal of Privacy and Confidentiality and founding editor of the new Annual Review of Statistics and its Application. He has been Vice President of the American Statistical Association and President of the Institute of Mathematical Statistics and the International Society for Bayesian Analysis. His research includes the development of statistical methods, especially tools for categorical data analysis and the analysis of network data, algebraic statistics, causal inference, statistics and the law, machine learning and the history of statistics.
    [Show full text]
  • Indicators of Crime and Criminal Justice: Quantitative Studies
    U.S. Department of Justice Bureau of Justice Statistics Indicators of crime and criminal justice: Quantitative studies NCJ-62349, June 1980 Edited by STEPHEN E. FIENBERG Department of Statistics and Department of Social Science Carnegie-Mellon University ALBERT J. REISS, JR. Department of Sociology Yale University PROPERTY OF National Crimina! Justice Aelerence Service (PdCJRS) Box 6003 Wockville, hPiD 20849-66'00 For sale by the Superintendent of Doculuents, U.S. Government Prilltiug OWce, Wasliington, D.C. 20402 U.S; Department of Justice Bureau of Justice Statistics Harry A. Sum,Ph. D. Director The Social Science Research Council is a private nonprofit organization formed for the purpose of advancing research in the social sciences. It emphasizes the planning, appraisal, and stimulation of research that offers promise of increasing knowledge in social science or of increasing its usefulness to society. It is also concerned with the develoument of better research methods. irnpro;ement of the quality and accessibil- ity of materials for research by social scien- tists, and augmentation of resources and facilities for their research. The Council's Center for Coordination of Research on Social Indicators was estab- lished in September 1972, under a grant from the Division of Social Sciences, Na- tional Science Foundation (grant number GS-34219; currently SOC-77-21686). The Center's purpose is to ahance the contri- bution of social science research to the de- velopment of a broad range of indicators of social change, in response to current and anticipated demands from both research and policy communities. Library of Congress Cataloging in Publication Data Main entry under title: Indicators of crime and criminal justice.
    [Show full text]
  • Springer Texts in Statistics
    Springer Texts in Statistics Advisors: Stephen Fienberg Ingram Olkin J. G. Kalbfleisch Probability and Statistical Inference Volume 1: Probability Second Edition With 38 Illustrations Springer Science+Business Media, LLC J.G. Kalbfleisch University of Waterloo Department of Statistics and Actuarial Science Waterloo, Ontario, N2L 3Gl Canada Editorial Board Stephen Fienberg Ingram Olkin York University Department of Statistics North York, Ontario M3J IP3 Stanford University CANADA Stanford, CA 94305 USA AMS Classification: 60-01 Library of Congress Cataloging in Publication Data Kalbfleisch, J. G. Probability and statistical inference. (Springer texts in statistics) Includes indexes. Contents: v. 1. Probability-v. 2. Statistical inference. 1. Probabilities. 2. Mathematical statistics. I. Title. 11. Series. QA273.K27 1985 519.5'4 85-12580 The first edition was published in two volumes, © 1979: Springer-Verlag New York, Inc. Probability and Statistical Inference I (Universitext) Probability and Statistical Inference 11 (Universitext) © 1985 Springer Science+Business Media New York Originally published by Springer-Verlag Berlin Heidelberg New York Tokyo in 1985 Softcover reprint of the hardcover 2nd edition 1985 All rights reserved. This work may not be translated or copied in whole or in part without the written permission of the Springer Science+Business Media, LLC, except for brief excerpts in connection with reviews or scholarly analysis. Use in connection with any form of information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed is forbidden. The use of general descriptive names, trade names, trademarks, etc., in this publication, even if the former are not especially identified, is not to be taken as a sign that such names, as understood by the Trade Marks and Merchandise Marks Act, may accordingly be used freely by anyone.
    [Show full text]
  • Statistical Network Analysis: Models, Issues, and New Directions
    Statistical Network Analysis: Models, Issues, and New Directions Edited by: Edoardo M. Airoldi David M. Blei Stephen E. Fienberg Anna Goldenberg Eric P. Xing Alice X. Zheng Contents Preface : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : ix Part I Invited Presentations 1 Structural Inference of Hierarchies in Networks Aaron Clauset, Cristopher Moore (University of New Mexico), Mark E. J. Newman (University of Michigan) : : : : : : : : : : : : : : : : : : : : : : : : : : : : 3 2 Heider vs Simmel: Emergent Features in Dynamic Structures David Krackhardt (Carnegie Mellon University), Mark S. Handcock (University of Washington) : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : 17 3 Joint Group and Topic Discovery from Relations and Text Andrew McCallum, Xuerui Wang, and Natasha Mohanty (University of Massachusetts, Amherst) : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : 33 4 Statistical Models for Networks: A Brief Review of Some Recent Research Stanley Wasserman, Garry Robins, Douglas Steinley (Indiana University) 51 Part II Other Presentations 5 Combining Stochastic Block Models and Mixed Membership for Statistical Network Analysis Edoardo M. Airoldi (Carnegie Mellon University), David M. Blei (Princeton), Stephen E. Fienberg (Carnegie Mellon University), Eric P. Xing (Carnegie Mellon University) : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : 65 vi Contents 6 Exploratory Study of a New Model
    [Show full text]
  • Stephen M. Stigler May 2014 Department Of
    Stephen M. Stigler May 2014 Department of Statistics University of Chicago 5734 University Avenue Chicago, Illinois 60637 (773) 702-8328; Messages: (773) 702-8333; Fax: (773) 702-9810 Degrees B.A. Carleton College, 1963, with major in Mathematics and Distinction on the Comprehensive Examination. Ph.D. in Statistics—University of California, Berkeley, 1967. D. Sci (hon.). Carleton College, 2005. Professional Experience 1967-79: Department of Statistics, University of Wisconsin, Madison; Assistant Professor, 1967-71; Associate Professor, 1971-75; Professor, 1975-79. 1969 Summer: Statistical Consultant, Bell Telephone Laboratories, Holmdel, New Jersey. 1972-73: Visiting Associate Professor of Statistics, University of Chicago. 1976-77: Guggenheim Fellow; Visiting Professor, University of Chicago, January-June 1977. 1978-79: Fellow at the Center for Advanced Study in the Behavioral Sciences, Stanford, California. 1979-present: Professor of Statistics, University of Chicago; Chairman, 1986-92, 2005-. Faculty appointments in the Department of Statistics, the Social Sciences Collegiate Division, the Physical Sciences Collegiate Division, and the Committee on Conceptual and Historical Studies of Science (Co-Chair, 2002-03). 1992-present: Ernest DeWitt Burton Distinguished Service Professor, University of Chicago. 1979-82: Editor, Journal of the American Statistical Association: Theory and Methods. 1982-87: Member, Board of Directors of the Social Science Research Council (Treasurer 1983-84, Secretary 1984-1986, Executive Committee 1986-87). 1986-92, 1993-99, Member, Board of Trustees of the Center for Advanced Study in 2000–06: the Behavioral Sciences (Chairman of the Board, 1995-99, 2002-05). 1991-95: Member, Committee for the Study of Research-Doctorate Programs in the United States, National Research Council.
    [Show full text]
  • December 2016
    THE ISBA BULLETIN Vol. 23 No. 4 December 2016 The official bulletin of the International Society for Bayesian Analysis A MESSAGE FROM THE PRESIDENT -SteveMacEachern- tion, an arbitrary distribution for the random ef- ISBA President, 2016 fects rather than restricting it to normality. Non- [email protected] parametric Bayesian methods, often in the form a mixture models, have exploited this view with The first good snow of the year has come to great success. The Bayesian community is now Columbus, Ohio, USA (from whence I write). As quite comfortable writing and fitting these mod- is generally the case, the mild temperature in the els. 20s (a few degrees below zero for those famil- Heterogeneity of preferences has far stronger iar with the metric system) produced a soft, light implications than the mere hierarchical model. snow. The beauty of the day brought smiles to Different forms are needed to capture different most, and everywhere on campus the atmosphere individuals? choices and actions. I suspect that is cheery. Oddly enough, there are a few who the standard is for different segments of a popu- have a different opinion of the day, as judged by lation to follow qualitatively different models?in grim faces and grumbles about the weather. This a regression setting, with different sets of “active” contrast brings me to the topic of this column– predictors (Continued p. 2) heterogeneity. Heterogeneity of preferences and its cousin, di- versity of opinion, have made headlines through- In this issue out the world in the past year. Political news ranges from the Brexit vote in Britain, to the pres- idential election in the United States, to turmoil ‰ UPDATE FROM BA * in Korea, and well beyond.
    [Show full text]