DOCSLIB.ORG

Table of Contents Inaugural Lecture 7 High Dimensional Clustering, Variable Selection and Social Networks 7

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
Table of Contents Inaugural Lecture 7 High Dimensional Clustering, Variable Selection and Social Networks 7 Table of Contents Inaugural Lecture 7 High Dimensional Clustering, Variable Selection and Social Networks 7 Jayanta K. Ghosh Plenary Talk I Statistical Aspects of SNP – Gene Expression Studies 8 Andreas Ziegler Plenary Talk II Statistical Methods for Biomedical Research on Diagnostic Ultrasound 8 Douglas Simpson Invited Talks 9 Bayesian Methods for Clustering Functional Data 10 Subhashis Ghoshal Bayesian Average Error Based Approach to Sample Size Calculations for Hypothesis Testing 11 Eric Reyes and Sujit K. Ghosh Bayesian Analysis of Life‐data under Competing Risks 12 Ananda Sen A Distribution Theory for Predictive‐R2 in High‐dimensional Models and its Implications for Genome‐wide Association Studies 12 Nilanjan Chatterjee Comparison of Methods for Unsupervised Learning Methods – an Applied Study Using Proteomic Data From Colon Cancer and Simulations 13 Nairanjana Dasgupta, Yibing Oliver Chen, Rashmita Bas and Sayed S. Daoud Incorporating Auxiliary Information for Improved Prediction in High Dimensional Datasets: An Ensemble of Shrinkage Approaches 13 Bhramar Mukherjee Unconstrained Bayesian Model Selection on Inverse Correlation Matrices with Application to Sparse Networks 14 Nitai D. Mukhopadhyay and Sarat C. Dass Analysis of Sabine River Flow Data Using Semiparametric Spline Modeling 15 Soutir Bandyopadhyay 1 Adaptive Density Regression with Gaussian Process Priors 15 Surya T. Tokdar Independent Component Analysis for Dimension Reduction Classification: Hough Transform and CASH Algorithm 16 Asis K. Chattopadhyay Predicting the Extent of Uniqueness of a Fingerprint Match 16 Sarat C. Dass Statistical Models for Biometric Authentication 17 Sinjini Mitra Robust ER‐fMRI Designs under a Nonlinear Model 17 Dibyen Majumdar Statistical Planning and Inference in the Data‐centric World: Applications and Challenges 18 Subir Ghosh Constrained Multi‐objective Designs for Functional MRI Experiments via a Modified NSGA‐II 18 Abhyuday Mandal Bayesian Learning of Material Density Structure and Blurring Function by Inverting Images Taken with Electron Microscopy Techniques 19 Dalia Chakrabarty The Discrete Charm of Convex Optimization: from Shape‐constrained Density Estimation to Empirical Bayes Decision Rules 20 Ivan Mizera The use of Topographic Mapping in Visualisation and Classification: Application to Finding Planets around Other Stars 20 Somak Raychaudhury Bootstrapping for Significance in Clustering 21 Ranjan Maitra Modeling Climate Characteristics Using Small Area Methodology 21 Snigdhansu Chatterjee Functional Factor Analysis for Periodic Remote Sensing Data 22 Chong Liu, Surajit Ray, Giles Hooker and Mark Friedl 2 Recombination Detection and its use in Inferring the Recent Human Evolutionary History Marta Melé, Marc Pybus, Asif Javed, Laxmi Parida, Francesc Calafell and 22 Jaume Bertranpetit High Resolution Mapping of DNA Methylation 23 Karin S. Dorman, X. Yin and X. Wang Pathway Association Tests Using Reduced Gene Subsets for Genome‐wide Association Studies 24 Jingyuan Zhao, Simone Gupta, Mark Seielstad, Jianjun Liu and Anbupalam Thalamuthu An Investigation into Market Evolution and Consumer Dynamics in an Online Art Market: a Case of Modern Indian Art 25 Mayukh Dass Scale Equivariant Estimators for Diffusion Models 25 L. Ramprasath Correlations in Financial Time‐series: An Econophysicist's Perspective 26 Anirban Chakraborti Logic Trees for Multilevel Data: Application to Cancer Care 26 Mousumi Banerjee Predictive Problems in High‐dimensional Data: Some Examples 27 Madhuchhanda Bhattacharjee Probability Machines and Risk Modeling 28 Abhijit Dasgupta and James Malley Contributed Papers 29 A Bayesian Semiparametric Approach for Incorporating Longitudinal Information on Exposure History for Inference in Case‐Control Studies 31 Dhiman Bhadra, Michael J.Daniels, Sungduk Kim, Malay Ghosh and Bhramar Mukherjee Bayesian Estimation of Reliability Measures for a Family of Lifetime Distributions Using Masked System Lifetime Data 32 Sanjeev K. Tomer and Ashok K. Singh Diffusive Limits for Adaptive MCMC 32 Gopal K. Basak and Arunangshu Biswas 3 Using Centered and Non‐centered Algorithms for Simulating S&P Share Index Data 33 Mahsa Ashouri Statistical Methods to Identify Clonal Variations Present in Tumour 33 Sayar Karmakar, M.Mukherjee, A. Basu and A. Ghosh Admixture Time Estimation Using Random Genetic Drift Model 34 Shrijita Bhattacharya, A. Basu and A. Ghosh Estimating Relationship between Random Individuals from their Genome Sequence 36 Soudeep Deb A Deterministic Model for HIV Infection Incorporating Identification Rate in a Heterosexual Population: Mathematical Analysis 36 Manindra Kumar Srivastava and Purnima Singh Genome‐wide Association Studies for Bivariate Sparse Longitudinal Data 37 Kiranmoy Das, Jiahan Li, Guifang Fu, Zhong Wang and Rongling Wu The Interactions among Candidate Genes May Lead to Severity of Mental Disorders 38 Basant K. Tiwary Estimating Headrooms of Indian ADRs‐ An Application of Nonlinear Filtering Technique 38 Kaushik Bhattacharjee Replacement Analysis Using Fuzzy Linguistic Theory 40 Prakash R.Chavan, V.H.Bajaj and J.G.Haridas Mammogram Segmentation by Near Set Approach and Mass Lesions Classification with Rough Neural Network 40 Vibha Bafna Bora, A.G. Kothari and A.G.Keskar An Application of Data Mining Tools for the Study of Shipping Safety 41 Aby Subhash and Kelangath S On Univariate Process Capability Indices for Unilateral Tolerances 42 Moutushi Chatterjee and Ashis Kumar Chakraborty Functional Data Analytic Methodology for PBPK Models 42 Siddhartha Mandal 4 Early Marriage and the Length of First Birth Interval in India 43 Shilpi Tanti and K.K. Singh Fitting a Mixture of Conway‐Maxwell‐Poisson Distributions to Count Data 44 Pragya Sur, Paromita Dubey, Smarajit Bose and Galit Shmueli New Stein’s Estimators of Regression Coefficients in Replicated Measurement Error Model 44 Sukhbir Singh, Kanchan Jain And Suresh Sharma Copula Based Dependence Structures among Maternal Variables 45 Ranjana Gogoi and Navajyoti Tamuli Statistics in Industry 47 And the Two Twains Shall Meet 49 N. R. Srinivasa Raghavan "What's in a Name?" 49 K Vijay Kumar Reliability, Availability, and Productivity for Wind Turbines 50 Abhinanda Sarkar Tracking Consumer Segments 50 Arabinda Ghosh Managing Expectations: Statistics in Risk Management Karra Sanghamitra 51 Posters 53 An Optimum Multivariate Stratified Sampling Design with Travel Cost in Presence of Non‐Response: A Goal Programming Approach 55 Saman Khowaja, Shazia Ghufran and M. J. Ahsan Multiple Comparison Procedure for Comparing Several Exponential Populations with Control in Terms of Location Parameters Under Heteroscedasticity 55 Vishal Maurya, Amar Nath Gill and Parminder Singh Optimum All Order Neighbor Balanced μ‐Resolvable BIB Designs 56 Anurup Majumder and Aatish Kumar Sahu 5 Simultaneous Prediction Intervals for Comparing Several Treatments with More than One Control 57 Sukhbir Singh, Anju Goyal and Vishal Maurya Some Probability Models for Waiting Time to First Conception 58 R.C.Yadava, S.K. Singh, Anup Kumar and U Srivastava On Comparing the Performance of Senior and Young Cricketers in Indian Premier League 58 Hemanta Saikia and Dibyojyoti Bhattacharjee Almost Unbiased Ratio and Product Type Exponential Estimators 59 Rohini Yadav, Lakshmi N. Upadhyaya, Housila P. Singh and S. Chatterjee Bayesian Estimation and Prediction of Generalized Inverted Exponential Distribution 60 Sanku Dey, Tanujit Dey and Debasis Kundu On the Bayes Estimators of the Parameters of Non‐Zero Inflated Generalized Power Series Distributions 60 Peer Bilal Ahmad Relations for Marginal and Joint Moment Generating Functions of Generalized Exponential Distribution Based on Lower Generalized Order Statistics and 61 Characterization R.U. Khan, and Benazir Zia On Exact Non‐Parametric Alternative Tests in Two‐Way Layout 61 Maidapwad S. L. and Sananse S.L A Test for the Significance of Treatment Effect in a Mixture Population 61 Bikram Karmakar, Kushal Kumar Dey and Kumaresh Dhara Valedictory Address Pranab K. Sen 62 6 Inaugural Lecture High Dimensional Clustering, Variable Selection and Social Networks Jayanta K. Ghosh Purdue University, West Lafayette, IN, USA and Indian Statistical Institute, India At various times in the recent past, 2005 onwards, I have discussed the relevance of Bayesian Nonparametrics (specifically, Dirichlet mixtures of the normal) for handling non‐unique clustering in high dimensional problems, for example the problem given to ISI by Professor Madhab Gadgil. The data had about 50,000 superpixels, each based on 1000 pixels of satellite pictures on the Western Ghat area, in four bands. In such problems, k‐means clustering does not provide unique results, results depend on starting points. Dirichlet mixtures can be shown to be very close to k means clustering, and the NP Bayes approach can assign probabilities to the different clusterings that come out as MCMC outputs. I also discussed a notion of central clustering and a neighborhood of it such that all satisfactory clusterings will lie there. I have developed a metric between clusterings with help from young colleagues, for example Tapas Samanta, Kajal Dihidar etc. Later I had discussions with Sourabh Bhattacharya and Sabyasachi Mukhopadhyay. In Kulis and Jordan (2011), they achieve remarkable progress on these problems. Further major insight and powerful new results and methods have been obtained recently by Bogdan et. al. (2011). They prove a deep theorem connecting k means clustering with Dirichlet mixtures, throwing major
Load more

Recommended publications
  • IISA Newsletter Autumn 2017
    http://intindstat.org IISA Newsletter Autumn 2017 Hyderabad (Courtesy: Can Stock Photo Inc./snehitdesign) Contents President’s Message 2 By Sujit K. Ghosh IISA is 25! We are excited to celebrate 25 IISA Election Results 4 years. Look through the following pages to see the photos from the IISA 2017 Conference in Hyderabad 5 past 25 years of our members. IISA 2017 Awards 6 Does Machine Learning Reduce Racial Disparities in Policing? 10 By Jyotishka Datta and Grant Drawve, University of Arkansas, Fayetteville Donate to the Bahadur Lecture Series 13 IISA 2018 Conference in Florida 14 Update Your By Somnath Datta, University of Florida, Gainesville Contact Information An Outlook into the Principle of Please visit www.intindstat.org/ Restricted Choice 15 update-contact to update your By Rahul Zalkikar, University of Virginia information. Member News 18 Obituary for Jayanta Kumar Ghosh (1937-2017) 19 By R. V. Ramamoorthi, Michigan State University Upcoming Conferences and Workshops 20 Memories from JSM 2017 22 Contribute to the News! Advertisements: Please submit items of interest Fordham University 23 to [email protected] Cytel 24 Department of Health and Human Services 25 1 Message from Sujit K. Ghosh, President of IISA Dear Members of IISA (Bandhugan!): Board of Trustees This is my last article as IISA president and I’d like to N. Balakrishnan, McMaster University express my sincere thanks to each one of you for Dipak K. Dey, University of Connecticut giving me an opportunity serve in my role as the Nandini Kannan, National Science Foundation president for 2017 and as president-elect last year.
    [Show full text]
  • Department of Statistics Newsletter 2013 -1
    Department of Statistics Newsletter Fall 2013 The University of Connecticut Table of Contents A Message from the Department Head 2 From the Director of the Graduate Program 5 From the Director of the Undergraduate Program 6 Selected Faculty Activities 7 From the Director of the Statistical Consulting Services (SCS) 18 Faculty Awards 20 The 50 th Anniversary Celebration of the Department of Statistics 21 The 23 rd Pfizer Colloquium 24 The 27 th New England Statistics Symposium 29 The 4 th International Workshop in Sequential Methodologies 35 ISBA Regional Meeting and IWCBTA 41 Colloquia 47 Faculty News 48 Alumni News 50 Student News 52 SAMSI Undergraduate Seminar 53 A Birthday Party at JSM 2013 55 Recent Ph.D.’s 56 Recent Masters 56 Recent Bachelors 56 Faculty, Staff and Adjunct Faculty 57 Alumni Reply Form 58 Website address: www.stat.uconn.edu e-mail: [email protected]; Phone: (860) 486-3414, Fax: (860) 486-4113 1 A Message from the Department Head Welcome to the sixteenth issue of our Department Newsletter . This has been an exciting year for the department on many fronts. On November 1-3, 2012, we celebrated the 50 th Anniversary of the Department. It was a great pleasure to welcome our colleagues, alumni and friends to join us to celebrate this special event. In particular, it was good to have with us Professor Robert Riffenburgh, the founder of the department and its first Department Head. Jointly with the 50 th Anniversary Celebration of the Department, we have held three important events. The first event being the 23 rd Pfizer Colloquium, co-sponsored by Pfizer, Inc and ASA.
    [Show full text]
  • Curriculum Vitae
    Sayar Karmakar University of Florida Department of Statistics Phone: (312) 709-0684 230 Newell Drive Email: [email protected] Gainesville, FL 32601 Tel: (352) 392-1941 (Current) Assistant Professor of Statistics, University of Florida Ph.D., University of Chicago, June 2018 Master of Statistics, Indian Statistical Institute, 2013. Bachelor of Statistics , Indian Statistical Institute, 2011. Research Updates: https://sayarkarmakar.github.io. Published Journal Articles 1. Simultaneous inference for time-varying models: Sayar Karmakar, Stefan Richter, Wei Biao Wu; To appear in Journal of Econometrics. Link: https://arxiv.org/abs/2011.13157 2. Optimal Gaussian approximation under dependence: Sayar Karmakar, Wei Biao Wu; Statistica Sinica 30, 1399-1417 (2020) Presented in Statistica Sinica Invited Papers Session JSM 2020. Link: https://doi.org/10.5705/ss.202017.0303 Arxiv version: https://arxiv.org/abs/2001.10164 3. Long term prediction intervals of economic time-series: Marek Chudy∗, Sayar Karmakar∗, Wei Biao Wu; Empirical Economics 58, 191-222 (2020) [* Alphabetical order] Link: https://doi.org/10.1007/s00181-019-01689-2 4. Shrinkage estimation with singular priors and an application to small area estimation. Ryumei Nakada, Tatsuya Kubokawa, Malay Ghosh and Sayar Karmakar. To appear at Journal of Multivariate Analysis 5. Bayesian modelling of time-varying conditional heteroscedasticity Sayar Karmakar, Arkaprava Roy (Revision submitted to Bayesian Analysis) Link: https://arxiv.org/abs/2009.06007 6. Prediction intervals for high dimensional regression: Sayar Karmakar, Marek Chudy and Wei Biao Wu; (Accepted for International Symposium of Forecasting. Invited session on SWEET pricing. A different version is now under review ) Link: https://sayarkarmakar.github.io/publications/sayar4.pdf Published Peer-reviewed Conference Articles 1.
    [Show full text]
  • A Conversation with Pranab Kumar
    Statistical Science 2008, Vol. 23, No. 4, 548–564 DOI: 10.1214/08-STS255 c Institute of Mathematical Statistics, 2008 A Conversation with Pranab Kumar Sen Malay Ghosh and Michael J. Schell Abstract. Pranab Kumar Sen was born on November 7, 1937 in Cal- cutta, India. His father died when Pranab was 10 years old, so his mother raised the family of seven children. Given his superior perfor- mance on an exam, Pranab nearly went into medical school, but did not because he was underage. He received a B.Sc. degree in 1955 and an M.Sc. degree in 1957 in statistics from Calcutta University, topping the class both times. Dr. Sen’s dissertation on order statistics and non- parametrics, under the direction of Professor Hari Kinkar Nandi, was completed in 1961. After teaching for three years at Calcutta Univer- sity, 1961–1964, Professor Sen came to Berkeley as a Visiting Assistant Professor in 1964. In 1965, he joined the Departments of Statistics and Biostatistics at the University of North Carolina at Chapel Hill, where he has remained. Professor Sen’s pioneering contributions have touched nearly every area of statistics. He is the first person who, in joint collaboration with Professor S. K. Chatterjee, developed multivariate rank tests as well as time-sequential nonparametric methods. He is also the first person who carried out in-depth research in sequential nonparametrics culminating in his now famous Wiley book Sequential Nonparametrics: Invariance Principles and Statistical Inference and SIAM monograph. Professor Sen has over 600 research publications. In addition, he has authored or co-authored 11 books and monographs, and has edited or co-edited 11 more volumes.
    [Show full text]
  • Bhramar Mukherjee
    Bhramar Mukherjee • Contact Information Office : Department of Biostatistics University of Michigan Home: 2353 Alder Ct 1420 Washington Heights Ann Arbor Ann Arbor, MI 48109-2029. MI 48103 Ph: (734)-764-6544 Phone:(734)-332-8976 Fax:(734)-763-2215 [email protected] http://www.sph.umich.edu/bhramar/public html • Employment Associate Professor (2009-), Department of Biostatistics, University of Michigan. Assistant Professor (2006-2009), John G. Searle Assistant Professor (2008-2009), Department of Biostatistics, University of Michigan. Participating Faculty: Occupational and Environmental Epidemiology Concentration, Department of Environmental Health Sciences, University of Michigan. Member, University of Michigan Comprehensive Cancer Center. Assistant Professor (Spring 2002-2006), Department of Statistics, University of Florida. • Other Employment Summer Intern, (Summer, 2000), Statistics Division, Eli Lilly and Company, Indianapolis. Teaching assistant, Statistical Consultant, Research Assistant (1996-2001), Department of Statistics, Purdue University. Visiting Scholar (Summer 2002), Department of Statistics, Stanford University. Visiting Scholar (Summer 2004), Applied Statistics Unit, Indian Statistical Institute, Kolkata, India. Visiting Assistant Professor (Fall 2001 and academic year 2004-2005), Department of Statistics, Purdue University. Visitor (Summer 2006), Division of Cancer Epidemiology and Genetics, The National Cancer Institute,(NCI/NIH), Bethesda, MD. 1 Visiting Scholar (Summer 2006, 2009), Department of Mathematics, Statistics and Computer Science Victoria University, Wellington, New Zealand. Visiting Scholar (Summer, 2010) Institut d’Investigaci Biomdica de Bellvitge Institut Catal d’Oncologia, Unitat de Bioestadistica Bioinformtica (Recipient of a visiting scholar grant awarded by the Agency for Administration of University and Research Grants (AGAUR), Catalonia, Spain) • Education Ph.D. in Statistics (Received 2001) Advisor : William J. Studden Optimal designs for estimating the path of a stochastic process Purdue University M.S.
    [Show full text]
  • Contributors to This Volume
    Institute of Mathematical Statistics COLLECTIONS Volume 3 Pushing the Limits of Contemporary Statistics: Contributions in Honor of Jayanta K. Ghosh Bertrand Clarke and Subhashis Ghosal, Editors arXiv:0806.4445v1 [math.ST] 27 Jun 2008 Institute of Mathematical Statistics Beachwood, Ohio, USA Institute of Mathematical Statistics Collections Series Editor: Anthony Davison The production of the Institute of Mathematical Statistics Collections is managed by the IMS Office: Rong Chen, Treasurer and Elyse Gustafson, Executive Director. Library of Congress Control Number: 2008924408 International Standard Book Number 978-0-940600-75-1 International Standard Serial Number 1939-4039 Copyright c 2008 Institute of Mathematical Statistics All rights reserved Printed in the United States of America Contents Preface Bertrand Clarke and Subhashis Ghosal ........................... v Contributors ................................................. vii J. K. Ghosh’s contribution to statistics: A brief outline Bertrand Clarke and Subhashis Ghosal ........................... 1 Objective Bayesian analysis under sequential experimentation Dongchu Sun and James O. Berger ............................. 19 Sequential tests and estimates after overrunning based on p-value combination W. J. Hall and Keyue Ding ................................. 33 On predictive probability matching priors Trevor J. Sweeting ...................................... 46 Data-dependent probability matching priors for empirical and related likelihoods Rahul Mukerjee .......................................
    [Show full text]
  • Profesor Malay Ghosh, Światowej Sławy Autorytet W Zakresie Teorii
    Uroczystość nadania Ceremony of conferring upon Profesorowi Professor Malayowi Ghoshowi Malay Ghosh tytułu the doctor honoris causa degree doktora honoris causa of the University of Economics Uniwersytetu Ekonomicznego in Katowice w Katowicach Katowice 14 maja 2021 roku / 14 May 2021 Spis treści / List of contents 5 Słowo wstępne / Introduction 9 Dyplom doktora honoris causa / Honoris causa degree diploma 11 Kalendarium / Schedule of events 13 Biografia / Biography 27 Laudacja / Eulogy 43 Recenzje / Reviews 59 Wykład / Lecture Słowo wstępne Introduction Szanowni Państwo, Ladies and Gentlemen, Przed współczesnym Uniwersytetem stoją wyzwania Today’s university faces the challenge of conducting prowadzenia badań naukowych na światowym pozio- world-class scientific research, fostering international mie, rozwijania współpracy międzynarodowej i popu- cooperation and disseminating scientific developments. laryzacji nauki. Aby sprostać tym wyzwaniom, należy With this end in view it is necessary to follow and ac- obserwować i doceniać w tym zakresie najlepsze praktyki knowledge the best practices adopted by universities uniwersytetów na świecie i pracujących tam badaczy. and their researchers across the world. Uniwersytet Ekonomiczny w Katowicach podejmu- The University of Economics in Katowice, committed jąc zadanie rozwoju naukowego, postanowił wyróżnić to the pursuit of scientific excellence, has resolved to dokonania osoby, która będąc wybitnym naukowcem recognise the achievements of an eminent scientist in- i niestrudzonym popularyzatorem
    [Show full text]
  • Media Experts List
    Media Experts List The American Statistical Association (ASA) maintains a database of members with expertise in fields of statistical application who have volunteered to serve as sources of information for the media. The individuals on the list speak as experts in their fields, not as ASA spokespersons. While we have provided a list of topics in an effort to help you find individuals easily, please note that these members are not subject experts, but have expertise in the statistical aspects of the topics listed. Many of the individuals on the list have experience working with media and can be relied on as resources for quotes, interviews, and background information. Please note that the topic categories are fairly broad (and evolving), and we would recommend that you consult the expert bios in this document to determine if an individual meets your requirements. The list continues to grow, and we will issue updates as they become available. If you have need of a resource in an area not reflected here, we will be happy to try to locate someone for you. Please contact the ASA’s public relations manager at (703) 684-1221. ASA Media Experts List by Topic Actuarial Science Christopher Schmid Edward Melnick Nozer Singpurwalla Richard Smith Affirmative Action / Discrimination Hal Stern Arlene Ash Peter Thall Joseph L. Gastwirth David Marker Bioinformatics Marty Wells Terence Speed Aging Biological / Ecological Applications Charles Hall Bahman Shafii Mack Shelley Biometrics AIDS Bahman Shafii Jimmy Efird Biopharm / Clinical trials Air Pollutants
    [Show full text]
  • Selected Works in Probability and Statistics
    Selected Works in Probability and Statistics For other titles published in this series, go to www.springer.com/series/8556 Anirban DasGupta Editor Selected Works of Debabrata Basu 123 Editor Anirban DasGupta Department of Statistics and Mathematics Purdue University 150 N. University Street West Lafayette, IN 47907, USA [email protected] ISBN 978-1-4419-5824-2 e-ISBN 978-1-4419-5825-9 DOI 10.1007/978-1-4419-5825-9 Springer New York Dordrecht Heidelberg London c Springer Science+Business Media, LLC 2011 All rights reserved. This work may not be translated or copied in whole or in part without the written permission of the publisher (Springer Science+Business Media, LLC, 233 Spring Street, New York, NY 10013, USA), 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 in this publication of trade names, trademarks, service marks, and similar terms, even if they are not identified as such, is not to be taken as an expression of opinion as to whether or not they are subject to proprietary rights. Printed on acid-free paper Springer is part of Springer Science+Business Media (www.springer.com) Preface to the Series Springer’s Selected Works in Probability and Statistics series offers scientists and scholars the opportunity of assembling and commenting upon major classical works and honors the work of dis- tinguished scholars in probability and statistics. Each volume contains the original papers, original commentary by experts on the subject’s papers, and relevant biographies and bibliographies.
    [Show full text]
  • Uroczystość Nadania Profesorowi
    Uroczystość nadania Ceremony of conferring upon Profesorowi Professor Malayowi Ghoshowi Malay Ghosh tytułu the doctor honoris causa degree doktora honoris causa of the University of Economics Uniwersytetu Ekonomicznego in Katowice w Katowicach Katowice 14 maja 2021 roku / 14 May 2021 Spis treści / List of contents 5 Słowo wstępne / Introduction 9 Dyplom doktora honoris causa / Honoris causa degree diploma 11 Kalendarium / Schedule of events 13 Biografia / Biography 27 Laudacja / Eulogy 43 Recenzje / Reviews 59 Wykład / Lecture Słowo wstępne Introduction Szanowni Państwo, Ladies and Gentlemen, Przed współczesnym Uniwersytetem stoją wyzwania Today’s university faces the challenge of conducting prowadzenia badań naukowych na światowym pozio- world-class scientific research, fostering international mie, rozwijania współpracy międzynarodowej i popu- cooperation and disseminating scientific developments. laryzacji nauki. Aby sprostać tym wyzwaniom, należy With this end in view it is necessary to follow and ac- obserwować i doceniać w tym zakresie najlepsze praktyki knowledge the best practices adopted by universities uniwersytetów na świecie i pracujących tam badaczy. and their researchers across the world. Uniwersytet Ekonomiczny w Katowicach podejmu- The University of Economics in Katowice, committed jąc zadanie rozwoju naukowego, postanowił wyróżnić to the pursuit of scientific excellence, has resolved to dokonania osoby, która będąc wybitnym naukowcem recognise the achievements of an eminent scientist in- i niestrudzonym popularyzatorem
    [Show full text]
  • Sit Special Issue 2020
    Special Issue, Volume 21, Number 4, August 2020 ISSN 1234-7655 STATISTICS IN TRANSITION new series An International Journal of the Polish Statistical Association and Statistics Poland STATISTICAL DATA INTEGRATION − Special Issue Partha Lahiri, Preface Invited paper Malay Ghosh, Small area estimation: its evolution in five decades Discussions: Gershunskaya J., Han Y., Li Y., Molina I., Newhouse D., Pfeffermann D., Rao J. N. K. Original articles Cai S., Rao J. N. K., Dumitrescu L., Chatrchi G., Effective transformation-based variable selection under two-fold subarea models in small area estimation Neves A. F. A., Silva D. B. N., Moura F. A. S., Skew normal small area time models for the Brazilian annual service sector survey Di Consiglio L., Tuoto T., A comparison of area level and unit level small area models in the presence of linkage errors Bera S., Chatterjee S., High dimensional, robust, unsupervised record linkage Saegusa T., Confidence bands for a distribution function with merged data from multiple sources Zhang X., Pyne S., Kedem B., Model selection in radon data fusion Bonnery D., Cheng Y., Lahiri P., An evaluation of design-based properties of different composite estimators Burgard J. P., Dieckmann H., Krause J., Merkle H., Münnich R., Neufang K. M., Schmaus S., A generic business process model for conducting microsimulation studies Alam M. J., Dostie B., Drechsler J., Vilhuber L., Applying data synthesis for longitudinal business data across three countries Lahiri P., Suntornchost J., A general Bayesian approach to meet different inferential goals in poverty research for small areas EDITOR Włodzimierz Okrasa, University of Cardinal Stefan Wyszyński, Warsaw and Statistics Poland [email protected]; Phone number 00 48 22 — 608 30 66 ASSOCIATE EDITORS Arup Banerji The World Bank, Ralf Münnich University of Trier, Germany Washington, USA Mischa V.
    [Show full text]
  • Conference Program
    Conference Program All the technical talks and the conference banquet will be held in College Park Marriott and Conference Center. Reception on Wednesday (5:30-7:30 pm) and reception/poster session on Thursday (6:00- 8:00 pm) will be held in Grand Atrium (first floor), Van Munching Hall (UMD Smith Business School). Please revisit the conference website for last minutes change in the conference program. Wednesday May 28, 2014 Reception (5:30pm-7:30pm) Location: Grand Atrium (first floor), Van Munching Hall (UMD Business School) Thursday May 29, 2014 Breakfast and Registration (7:00am-8:00am) Location: First floor, College Park Marriott and Conference Center Welcome Session (8:00am-8:30am) Plenary Session 1 (8:30am-10:30am): Performance by the Ghosh Septuplets Chair: David Nickerson, University of Central Florida Nitis Mukhopadhyay (University of Connecticut, Storrs): Personal Recollections from the First PhD Student of Professor Malay Ghosh Sounak Chakraborty (University of Missouri, Columbia): Bayesian Kernel-Based Modeling and Selection of Genetic Pathways and Genes for Cancer. Rebecca Steorts (Carnegie Mellon University): Will the Real Malay Ghosh Please Stand Up: A Probabilistic Approach to Graphical Record Linkage. Samiran Sinha (Texas A&M University): Semiparametric Analysis of Linear Transformation Models with Covariate Measurement Errors Doug Sparks (Stanford University): Shrinkage via Limits of Bayesian Lassos Debashis Ghosh (Pennsylvania State University): Multiple comparisons, false discovery control and James-Stein estimation 1 Coffee Break (10:30am-11:00am) Plenary Session 2 (11:00am-12:30pm): Current Trends in Small Area estimation Chair: Jane Meza (University of Nebraska Medical Center, Omaha) J. N. K.
    [Show full text]