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Construction of Optimal Supersaturated Designs by The
Ë cieÒce iÒ C hiÒa Ser. A Mathematics 2004 Vol.47 No.1 128—143 Construction of optimal supersaturated designs by the packing method ¾ ¿ FANG Kaitai½ , GE Gennian & LIU Minqian 1. Department of Mathematics, Hong Kong Baptist University, Hong Kong, China (email: [email protected]); 2. Department of Mathematics, Zhejiang University, Hangzhou 310027, China (email: [email protected]); 3. Department of Statistics, Nankai University, Tianjin 300071, China (email: [email protected]) Received July 31, 2002 Abstract A supersaturated design is essentially a factorial design with the equal oc- currence of levels property and no fully aliased factors in which the number of main ef- fects is greater than the number of runs. It has received much recent interest because of its potential in factor screening experiments. A packing design is an important object in combinatorial design theory. In this paper, a strong link between the two apparently un- related kinds of designs is shown. Several criteria for comparing supersaturated designs are proposed, their properties and connections with other existing criteria are discussed. A combinatorial approach, called the packing method, for constructing optimal supersatu- rated designs is presented, and properties of the resulting designs are also investigated. Comparisons between the new designs and other existing designs are given, which show that our construction method and the newly constructed designs have good properties. Keywords: Kirkman triple systems, orthogonality, packing design, resolvability, supersaturated design. DOI: 10.1360/02ys0271 Many preliminary studies in industrial and scientific experiments contain a large num- ber of potentially relevant factors, but often only a few are believed to have significant effects. -
Generalized Principal Component Analysis
Generalized Principal Component Analysis Karo Solat Dissertation submitted to the Faculty of the Virginia Polytechnic Institute and State University in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Economics Aris Spanos, Chair Esfandiar Maasoumi Kwok Ping Tsang Richard A. Ashley Eric A. Bahel April 30, 2018 Blacksburg, Virginia Keywords: Factor Model, PCA, Elliptically Contoured Distributions, Exchange Rate, Forecasting, Monte Carlo Simulation, Statistical Adequacy Copyright 2018, Karo Solat Generalized Principal Component Analysis Karo Solat (ABSTRACT) The primary objective of this dissertation is to extend the classical Principal Components Analysis (PCA), aiming to reduce the dimensionality of a large number of Normal interre- lated variables, in two directions. The first is to go beyond the static (contemporaneous or synchronous) covariance matrix among these interrelated variables to include certain forms of temporal (over time) dependence. The second direction takes the form of extending the PCA model beyond the Normal multivariate distribution to the Elliptically Symmetric fam- ily of distributions, which includes the Normal, the Student's t, the Laplace and the Pearson type II distributions as special cases. The result of these extensions is called the Generalized principal component analysis (GPCA). The GPCA is illustrated using both Monte Carlo simulations as well as an empirical study, in an attempt to demonstrate the enhanced reliability of these more general factor models in the context of out-of-sample forecasting. The empirical study examines the predictive capacity of the GPCA method in the context of Exchange Rate Forecasting, showing how the GPCA method dominates forecasts based on existing standard methods, including the random walk models, with or without including macroeconomic fundamentals. -
Miguel De Carvalho
School of Mathematics Miguel de Carvalho Contact M. de Carvalho T: +44 (0) 0131 650 5054 Information The University of Edinburgh B: [email protected] School of Mathematics : mb.carvalho Edinburgh EH9 3FD, UK +: www.maths.ed.ac.uk/ mdecarv Personal Born September 20, 1980 in Montijo, Lisbon. Details Portuguese and EU citizenship. Interests Applied Statistics, Biostatistics, Econometrics, Risk Analysis, Statistics of Extremes. Education Universidade de Lisboa, Portugal Habilitation in Probability and Statistics, 2019 Thesis: Statistical Modeling of Extremes Universidade Nova de Lisboa, Portugal PhD in Mathematics with emphasis on Statistics, 2009 Thesis: Extremum Estimators and Stochastic Optimization Advisors: Manuel Esqu´ıvel and Tiago Mexia Advisors of Advisors: Jean-Pierre Kahane and Tiago de Oliveira. Nova School of Business and Economics (Triple Accreditation), Portugal MSc in Economics, 2009 Thesis: Mean Regression for Censored Length-Biased Data Advisors: Jos´eA. F. Machado and Pedro Portugal Advisors of Advisors: Roger Koenker and John Addison. Universidade Nova de Lisboa, Portugal `Licenciatura'y in Mathematics, 2004 Professional Probation Period: Statistics Portugal (Instituto Nacional de Estat´ıstica). Awards & ISBA (International Society for Bayesian Analysis) Honours Lindley Award, 2019. TWAS (Academy of Sciences for the Developing World) Young Scientist Prize, 2015. International Statistical Institute Elected Member, 2014. American Statistical Association Young Researcher Award, Section on Risk Analysis, 2011. National Institute of Statistical Sciences j American Statistical Association Honorary Mention as a Finalist NISS/ASA Best y-BIS Paper Award, 2010. Portuguese Statistical Society (Sociedade Portuguesa de Estat´ıstica) Young Researcher Award, 2009. International Association for Statistical Computing ERS IASC Young Researcher Award, 2008. 1 of 13 p l e t t si a o e igulctoson Applied Statistical ModelingPublications 1. -
13Th International Workshop on Matrices and Statistics Program And
13th International Workshop on Matrices and Statistics B¸edlewo, Poland August 18–21, 2004 Program and abstracts Organizers • Stefan Banach International Mathematical Center, Warsaw • Committee of Mathematics of the Polish Academy of Sciences, Warsaw • Faculty of Mathematics and Computer Science, Adam Mickiewicz Uni- versity, Pozna´n • Institute of Socio-Economic Geography and Spatial Management, Faculty of Geography and Geology, Adam Mickiewicz University, Pozna´n • Department of Mathematical and Statistical Methods, Agricultural Uni- versity, Pozna´n This meeting has been endorsed by the International Linear Algebra Society. II Sponsors of the 13th International Workshop on Matrices and Statistics III Mathematical Research and Conference Center in B¸edlewo IV edited by A. Markiewicz Department of Mathematical and Statistical Methods, Agricultural University, Pozna´n,Poland and W. Wo ly´nski Faculty of Mathematics and Computer Science, Adam Mickiewicz University, Pozna´n,Poland Contents Part I. Introduction Poetical Licence The New Intellectual Aristocracy ............ 3 Richard William Farebrother Part II. Local Information Part III. Program Part IV. Ingram Olkin Ingram Olkin, Statistical Statesman .......................... 21 Yadolah Dodge Why is matrix analysis part of the statistics curriculum ...... 25 Ingram Olkin A brief biography and appreciation of Ingram Olkin .......... 31 A conversation with Ingram Olkin ............................ 34 Bibliography .................................................. 58 Part V. Abstracts Asymptotic -
The Application of Graph Theory and Uniform Design
4th National Conference on Electrical, Electronics and Computer Engineering (NCEECE 2015) The Application of Graph Theory and Uniform Design Algorithm in the Test Arrangement of University Mengqi Zhang1, a, Yuejie Geng2, b, Zhigang Zhang3, c 1, 3 School of Mathematics and Physics, USTB, Beijing 10083, China 2 Academic Affairs Office, USTB, Beijing 100083, China [email protected], [email protected], [email protected] Key words: test arrangement; graph theory; uniform design Abstract: Test arrangement problem is a kind of NP hard problems, which has been proved. It’s a combination of constraints, nonlinear, and fuzzy multi-objective optimization. The results can be found based on all kinds of known constraints, but it spends too much time. And the effect of the test is not certain, too. Above all, this article combines two methods in solving this problem, and proposes a reasonable solution. This solution also improves effective of test arrangement, and illustrates the rationality. 1 Description of test arrangement The problem of test arrangement involves 5 elements represented as sets, classes of exams’ setC= {, cc12 , , cm }; courses of exams’ set L= {, ll12 , , ln }, test times’ setT= {, tt12 , , tx }, the [1] invigilators’ set P= {, pp12 , , py }, test locations’ set P= {, pp12 , , py }. This problem also has hard constraint conditions and soft constraint conditions. Hard constraint conditions include those: I. An examination course must be arranged in a time period of examination; II. All classes of one course must be arranged in the same time period of examination; III. Every class must have one test course in one period of time; I V. -
Department of Statistics and Data Science Promotion and Tenure Guidelines
Approved by Department 12/05/2013 Approved by Faculty Relations May 20, 2014 UFF Notified May 21, 2014 Effective Spring 2016 2016-17 Promotion Cycle Department of Statistics and Data Science Promotion and Tenure Guidelines The purpose of these guidelines is to give explicit definitions of what constitutes excellence in teaching, research and service for tenure-earning and tenured faculty. Research: The most common outlet for scholarly research in statistics is in journal articles appearing in refereed publications. Based on the five-year Impact Factor (IF) from the ISI Web of Knowledge Journal Citation Reports, the top 50 journals in Probability and Statistics are: 1. Journal of Statistical Software 26. Journal of Computational Biology 2. Econometrica 27. Annals of Probability 3. Journal of the Royal Statistical Society 28. Statistical Applications in Genetics and Series B – Statistical Methodology Molecular Biology 4. Annals of Statistics 29. Biometrical Journal 5. Statistical Science 30. Journal of Computational and Graphical Statistics 6. Stata Journal 31. Journal of Quality Technology 7. Biostatistics 32. Finance and Stochastics 8. Multivariate Behavioral Research 33. Probability Theory and Related Fields 9. Statistical Methods in Medical Research 34. British Journal of Mathematical & Statistical Psychology 10. Journal of the American Statistical 35. Econometric Theory Association 11. Annals of Applied Statistics 36. Environmental and Ecological Statistics 12. Statistics in Medicine 37. Journal of the Royal Statistical Society Series C – Applied Statistics 13. Statistics and Computing 38. Annals of Applied Probability 14. Biometrika 39. Computational Statistics & Data Analysis 15. Chemometrics and Intelligent Laboratory 40. Probabilistic Engineering Mechanics Systems 16. Journal of Business & Economic Statistics 41. -
Annual Report 2009 Contents
CHINESE ACADEMY OF SCIENCES Annual Report 2009 Contents Message from the President 1 Key Statistical Data 4 Strategic Planning 14 Academic Divisions 17 Scientific Research Development 23 Awards and Honors 54 Scientific Facilities 59 Human Resources 68 International Cooperation 71 Partnership with Industry 75 High-tech Industry 79 Science Popularization 81 Appendix: Directory of the CAS Subordinate Institutions 83 Cover Picture: Large Sky Area Multi-Object Fiber Spectroscopic Telescope (LAMOST) CHINESE ACADEMY OF SCIENCES Annual Report 09 Message from the President >>> The year of 2008 was a very eventful and extraordinary year for the Chinese people. Over the past year we have successfully handled the winter snow disaster in southern China and the Wenchuan earthquake in Sichuan Province. The Beijing Olympic and Paralympic Games were hosted very successfully and the manned spaceship Shenzhou VII was launched. China has also taken effective measures to meet the challenges presented by the global financial crisis. Prof. Dr. Ing. LU Yongxiang Facing all of these challenges and Member of CAS Member of CAE opportunities in 2008, the Chinese Vice Chairman of the Standing Academy of Sciences (CAS) has Committee of the National People’s Congress, P.R.China focused its innovation strategies on President of CAS meeting national demands at these key moments. Following our core principle of science and technology innovation, we have achieved a marked possibly arising from dark matter, increase in innovative capacity and key breakthroughs were made in research research developments. CAS strives to on iron-based superconductors, we put people first and has continued to successfully developed the world’s first strengthen innovative research teams quantum relay instrument, and also and develop the skills of our personnel, completed construction of the Large Sky thus raising innovation capacity. -
Aggregation and Recovery Methods for Heterogeneous Data in Iot Applications
Thesis submitted in fulfilment of the requirements for the award of the degree of Doctor of Engineering Sciences (Doctor in de ingenieurswetenschappen) AGGREGATION AND RECOVERY METHODS FOR HETEROGENEOUS DATA IN IOT APPLICATIONS. EVANGELOS K. ZIMOS Supervisors: Prof. Deligiannis Nikos Prof. Munteanu Adrian FACULTY OF ENGINEERING Department of Electronics and Informatics Examining Committee Advisor: Prof. Dr. Ir. Nikos Deligiannis, Vrije Universiteit Brussel. Advisor: Prof. Dr. Ir. Adrian Munteanu, Vrije Universiteit Brussel. Chair: Prof. Dr. Ir. Ann Now, Vrije Universiteit Brussel. Vice Chair: Prof. Dr. Ir. Rik Pintelon, Vrije Universiteit Brussel. Com. Member: Prof. Dr. Ir. Martin Timmerman, Vrije Universiteit Brussel. Secretary: Prof. Dr. Ir. Jan Lemeire, Vrije Universiteit Brussel. Ext. Member: Prof. Dr. Miguel Rodrigues, University College London. Ext. Member: Prof. Dr. Ir. Eli De Poorter, Universiteit Gent. “. Πάντες ἄνθρvωποι το˜υ εἱδέναι ὀρέγονται φύσει. Σημείον δ᾿ ἡ των˜ αἰσθή-σεvων ἀγάπησις: καί γὰρ χωρὶς της˜ χρείας ἀγαπωνται˜ δι᾿ αὑτάς, καὶ μάλιστα των˜ ἄλλων ἡ διὰ των˜ ὀμμάτων. Οὐ γὰρ μόνον ἵνα πράττωμεν ἀλλά καί μηθέν μέλλοντες πράττειν τὸ ὁρ˜αν αἱρούμεθα ἀντὶ πάντων ὡς εἰπε˜ιν των˜ ἄλλων. Αἴτιον δ᾿ ὅτι μάλιστα ποιε˜ι γνωρίζειν ἡμ˜ας αὕτη των˜ αἰσθήσεων καὶ πολλὰς δηλο˜ι διαφοράς ...” – ᾿Αριστοτέλης, Μετά τά Φυσικά Α΄ “. All men naturally desire knowledge. An indication of this is our es- teem for the senses; for apart from their use we esteem them for their own sake, and most of all the sense of sight. Not only with a view to action, but even when no action is contemplated, we prefer sight, generally speaking, to all the other senses. -
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 -
Nonlinear Multivariate Tests for High- Dimensional Data Using Wavelets with Applications in Genomics and Engineering Senthil Balaji Girimurugan
Florida State University Libraries Electronic Theses, Treatises and Dissertations The Graduate School 2014 Nonlinear Multivariate Tests for High- Dimensional Data Using Wavelets with Applications in Genomics and Engineering Senthil Balaji Girimurugan Follow this and additional works at the FSU Digital Library. For more information, please contact [email protected] FLORIDA STATE UNIVERSITY COLLEGE OF ARTS AND SCIENCES NONLINEAR MULTIVARIATE TESTS FOR HIGH-DIMENSIONAL DATA USING WAVELETS WITH APPLICATIONS IN GENOMICS AND ENGINEERING By SENTHIL BALAJI GIRIMURUGAN A Dissertation submitted to the Department of Statistics in partial fulfillment of the requirements for the degree of Doctor of Philosophy Degree Awarded: Spring Semester, 2014 Senthil Balaji Girimurugan defended this dissertation on February 05, 2014. The members of the supervisory committee were: Eric Chicken Professor Co-Directing Dissertation Jinfeng Zhang Professor Co-Directing Dissertation Jon Ahlquist University Representative Minjing Tao Committee Member The Graduate School has verified and approved the above-named committee members, and certifies that the dissertation has been approved in accordance with university requirements. ii To my wife Lela. iii ACKNOWLEDGMENTS As I embark on the final stages of my journey as a student of the sciences, I am thankful for spending them with the Department of Statistics at Florida State University. I have come to know more than a handful of dedicated and highly intelligent professors. I ex- press my sincere gratitude to Dr. Chicken for being the best mentor, academically and personally. His sense of humor and laid back attitude has given me solace during stressful times. In addition, I thank him for various discussions in statistical theory and the theory of wavelets that encouraged me to advance my skills further. -
Completion and Evaluation of NSFC Projects
PART Completion and Evaluation of NSFC Projects 6.1 Completion of General Program Projects Table 6-1 Projects completed 5,713 International conferences 11,167 Invited speakers Domestic conferences 8,900 Papers and publications International journals 22,447 Papers and books Domestic journals 36,180 Books 3,271 Achievements Evaluated 241 Research results Patents 1,475 Results disseminated 435 International awards 95 Awards National awards 585 Ministerial or provincial awards 73 Post-doc 1,312 Talents fostered Ph.D. 16,158 Masters 29,040 2008 ANNUAL REPORT 67 6.2 Completion of Young Scientists Fund Projects Table 6-2 Projects completed 1,602 International conferences 2,645 Invited speakers Domestic conferences 1,750 Papers and publications International journals 5,097 Papers and books Domestic journals 7,030 Books 978 Achievements Evaluated 28 Research results Patents 277 Results disseminated 44 International awards 22 Awards National awards 131 Ministerial or provincial awards 31 Post-doc 215 Talents fostered Ph.D. 2,296 Masters 4,723 6.3 Completion of Projects of the Fund for Less Developed Regions Table 6-3 Projects completed 279 International conferences 250 Invited speakers Domestic conferences 309 Papers and publications International journals 644 Papers and books Domestic journals 2,110 Books 184 Achievements Evaluated 18 Research results Patents 33 Results disseminated 5 International awards 0 Awards National awards 34 Ministerial or provincial awards 3 Post-doc 14 Talents fostered Ph.D. 263 Masters 1,725 68 2008 ANNUAL REPORT Completion and Evaluation of NSFC Projects NSFC 6.4 Completion of Key Program Projects Table 6-4 Projects completed 239 International conferences 2,361 Invited speakers Domestic conferences 1,767 Papers and publications International journals 6,936 Papers and books Domestic journals 5,919 Books 324 Achievements Evaluated 21 Research results Patents 376 Results disseminated 59 International awards 34 Awards National awards 119 Ministerial or provincial awards 23 Post-doc 367 Talents fostered Ph.D. -
Neural Dynamics and Interactions in the Human Ventral Visual Pathway
Neural dynamics and interactions in the human ventral visual pathway Yuanning Li December 2018 Center for the Neural Basis of Cognition, Dietrich College of Humanities and Social Sciences and Machine Learning Department, School of Computer Science Carnegie Mellon University Pittsburgh, PA 15213 Thesis Committee: Avniel Singh Ghuman (Co-Chair), Max G. G’Sell (Co-Chair), Robert E. Kass, Christopher I. Baker (National Institute of Mental Health) Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy. Copyright c 2018 Yuanning Li This work was supported by the National Institute on Drug Abuse Predoctoral Training Grants under R90DA023426 and R90DA023420, the National Institute of Mental Health under awards R01MH107797 and R21MH103592, and the National Science Foundation under award 1734907. The content is solely the responsibility of the author and does not necessarily represent the official views of the National Institutes of Health or the National Science Foundation. Keywords: Cognitive neuroscience, computational neuroscience, machine learning, statisti- cal methods, decoding, functional connectivity, neuroimaging, intracranial electroencephalogra- phy, visual perception To all the beautiful souls that lit up my life iv Abstract The ventral visual pathway in the brain plays central role in visual object recog- nition. The classical model of the ventral visual pathway, which poses it as a hier- archical, distributed and feed-forward network, does not match the actual structure of the pathway, which is highly interconnected with reciprocal and non-hierarchical projections. Here we address three major consequences of this non-classical struc- ture with regard to neural dynamics and interactions: (i) the model does not consider any extended information processing dynamics; (ii) the model does not allow for adaptive and recurrent interactions between areas; (iii) the model only character- izes evoked-response with no state-dependence from the neural context.