2011 Candidates

Please note,  names are randomly ordered and do not reflect any endorsements by the Nominating Committee.
ISBA PRESIDENT-ELECT (2012), PRESIDENT (2013), PAST PRESIDENT (2014):

 

    • Merlise Clyde, Duke University, clyde@stat.duke.edu

      I am honored to stand for election for ISBA president. I am Professor of Statistical Science at Duke University. My research interests include Bayesian model choice, nonparametrics, and experimental design, although new areas emerge from collaborations with other research scientists. I have been involved with ISBA in many capacities: as a long term member; a member of the Board of Directors; a member and chair of the Savage Trust Committee; a member of the Bylaws and Constitution Committee; Associate Editor for Bayesian Analysis; and most recently as Executive Secretary. I have served as program chair and publication officer for the ASA Section on Bayesian Statistical Science and Secretary/Treasurer for the ASA Computing Section, as well as serving on the IMS Council. I would be delighted to serve as President if elected!


      ISBA will be celebrating its 20th anniversary next year and there lots of accomplishments to celebrate! The number of Bayesian meetings across the world and journal articles in top journals reflects the vibrancy and activity of the Bayesian community. The year 2013 has been declared the International Year of Statistics, but perhaps it should be the "International Year of Bayes" as 2013 marks the 250th anniversary of the reading of Bayes Essay before the Royal Society! We have three Bayesian meetings organized by ISBA chapters and sections in the works for 2013, but this is an excellent opportunity to showcase to the rest of the world (through sessions at other meetings, review articles in non-statistics journals, articles in the popular press, etc) the advances made by Bayesian thinking! (and we get to celebrate again in 2014, on the anniversary of the publication of the paper!). Financially, ISBA is in great shape thanks to former officers and boards of directors and a series of successful meetings, yet there are a number of challenges ahead. If elected, my key priorities would be:

      Financial Vitality: With biennial ISBA World meetings, ISBA sections', ISBA chapters', and other co-sponsored meetings, and minimal income from endowments for prizes, we are faced with increased demands on general funds to support young researchers to participate in meetings and to provide awards at the levels intended by the founders. We need to develop budgets that anticipate the range of activities in odd and even years and build up an operational reserve for emergencies and other unplanned expenditures. The establishment of a standing Finance committee to guide investments and annual fund raising campaigns to increase the levels of current endowments and fund new strategic initiatives are needed steps to ensure the long-term financial viability of ISBA. Membership in ISBA is at an all time high, and we have over 2000 subscribers to the ISBA Forums! However, we need to identify ways to retain current members and attract new members in statistics and other fields, by evaluating the benefits ISBA provides members. As ISBA continues to grow and develop more activities, we will need to add more "permanent back office" support for day-to-day membership and financial matters.

      Bayesian Analysis: As our society's flagship publication, we need to examine ways to promote the journal and increase its prestige among other societies, and make BA one of the top statistics journals in the world! Adding the journal to Project Euclid and depositing articles in arXiv are examples of how to increase online visibility so that the journal and articles have greater impact. Working with the current editorial group, next editor, ISBA Board and members, I would explore how we can improve operational aspects of the journal such as handling of submissions; one potential option is to build on our partnership with IMS to provide increased functionality using their Electronic Journal Management System. The process for advertising, submission, tracking, and selection of the best paper presented at an ISBA World meeting for the Lindley Prize is another priority for better integration between BA and ISBA.

      Outreach and Education: As a professional statistical society, education (at all levels) and outreach to other fields is an important part of our broader mission. I would like to see ISBA have a stronger role in the organization (or co-sponsorship with other institutions and societies) of Summer Schools in Bayesian Statistics, to provide training in basic and advanced Bayesian methods for students/researchers from institutions where there may not be a critical mass of Bayesian statisticians. In the digital age, interactive remote classrooms are a potential avenue for providing broader participation while minimizing travel expenses for participants. Expansion of the ISBA website to provide resources such as videotapes of tutorials, case studies, lectures, screencasts of software demos, a discussion forum for teaching Bayesian statistics are other ways that ISBA may provide outreach to the scientific community.

      Many of these issues are shared by our sister societies; increased cooperation and discussion among societies for sharing ideas, calendars, conference co-organization, continuing education, and open access to scholarly work will benefit all of us!. I am excited about the opportunities ahead and hope that we can engage our members to help make ISBA the best statistical society in the world!

      Website: http://stat.duke.edu/~clyde

 

  • Kerrie Mengersen, QUT, k.mengersen@qut.edu.au


    I preface this statement by saying that I have just seen who is also standing for President. You should vote for Merlise! She is one of the world’s best researchers in methods and application of Bayesian statistics and has worked tirelessly for ISBA for many years. She would make an excellent President.

    As Bayesian statisticians we have one of the best jobs in the world! I am a Research Professor in Statistics at QUT in Australia. I do statistical research, applied statistics and statistical consulting. Since undergraduate days, I have participated actively in statistical societies: I was one of the founders of the Australasian branch of ISBA (ASBA) and have been involved in ASBA activities since its foundation. I am a long-time member of ISBA, SSAI, IBS, RSS, IMS and ASA, current President of the Statistical Society of Australia and past managing editor of our journal (Australian and New Zealand Journal of Statistics) and have served in executive roles for ISBA and SSAI for many years.

    We have a great Bayesian research and applications group (BRAG) at QUT; for more details see:
    http://www.ccdamc.org.au/frmain/brag/.

    As the world’s pre-eminent Bayesian Statistics Society, what is ISBA? In my view, ISBA aspires to: nurture an active professional community of researchers and practitioners in Bayesian statistics, support relevant high-quality research and innovation in this field, actively participate in modern international scientific challenges, provide leadership in the application of Bayesian statistics, and train current and new professionals and researchers. To achieve this vision, ISBA must deliver value to its members and engage them in its activities, broadly embrace Bayesian statisticians in their various fields and by their various names, and actively promote Bayesian statistics at all levels of our communities.

    In accordance with this vision of our Society, I wish to outline the five main issues that I would address as ISBA President:

    1.     1. Promote our Profession.
      Bayesian statistics encompasses such a broad range of theory, methods, computation and applications. As a Society we can promote our many success stories among scientists, researchers, industry, government, schools and the community. We also have challenges at all of these levels; again, as a Society, we are better placed to address these together.
    2.     2. Review and revise the ISBA Strategic Plan and Financial Plan.
      These provide a blueprint for our Society. All members would be encouraged to participate in the review. Our Society must keep pace with the changing face of Bayesian statistics, while maintaining its integrity and viability.
    3.     3. Support and promote the Society’s groups.
      We are fortunate to have active country groups, amazing young statisticians and hard-working committed committees. These are the lifeblood of our Society. In addition, our Bayesian Analysis journal is a great asset to the Society and our profession in general. We need to work with these groups to meet their needs and support their activities and plans.
    4.     4. Expand and consolidate linkages between ISBA and other professional societies.
      There are many Societies that encompass (Bayesian) statisticians and allied professionals as teachers, researchers, practitioners and managers. I believe that ISBA can benefit from greater understanding of, and closer interaction with these groups.
    5.     5. Review and revise what we deliver as a Society to our members and how members engage with ISBA.
      As with all Societies, ISBA is not made up of ‘them’, but of ‘us’. It does not exist for ‘them’; it exists for ‘us’. It will not grow and deliver value to its members and the wider community if we leave it to ‘them’; this is up to ‘us’. We need to ensure that the voice of ISBA is heard, and provide ways in which ISBA can flourish through its members. In this way we can all build a strong, large Society of which we are all proud.

    University Web Page: http://staff.qut.edu.au/staff/mengerse/
    Bayesian Research and Applications Group (BRAG): http://www.ccdamc.org.au/frmain/brag

 

ISBA BOARD MEMBERS (2012-2014):   (4 open positions) 

    • Igor Pruenster, University of  Torino,  igor@econ.unito.it


      I am Associate Professor of Statistics at the University of Torino, Italy. My main research interests lie in Bayesian Nonparametrics and I have worked on the analysis of nonparametric priors, asymptotics, mixture models, survival analysis and species sampling problems. My scientific background has been shaped in Italy and has been influenced by the myth of de Finetti: being Bayesian was, then, obvious to me and I am actually still wondering how a statistician can not be Bayesian!

      I have been a proud member of ISBA since my graduate studies and I have been pleased to serve ISBA and the broader statistics community as: member of the ISBA Program Council and of the Savage Award Committee, AE of Bayesian Analysis and of the Electronic Journal of Statistics. I also organized the 7th Bayesian Nonparametrics Workshop in Torino and collaborated to the organization of several other conferences and sessions -- most notably ISBA 2012 in Kyoto.

      ISBA has been playing for many years a key role in promoting Bayesian statistics. If elected, I will do my best to contribute to its continuing service to our community along its traditional lines -- with the much appreciated emphasis on junior support both scientifically and financially. Specific issues I consider of particular importance are: (a) Open access to scientific journals and to any research output, if used for academic purposes; in this respect ISBA should try to strengthen its relations with other professional societies who share this goal; (b) Fostering interactions with other disciplines while at the same time preserving our identity defined by the methodological core and the theoretical foundations of Bayesianism.

      I would be honoured to serve on the ISBA board.

      Web: http://sites.carloalberto.org/pruenster/

    • Maria de Iorio, University College London, m.deiorio@imperial.ac.uk


      I am currently a Reader in Statistics at University College London and my main research interests are in Biostatistics and Bioinformatics. I have collaborated on many interdisciplinary projects and I have promoted the use of Bayesian methods on different problems, having been involved in many statistical applications ranging from cancer studies to population genetics, genomics and metabolomics. During my career I have tried to combine applied work with theoretical research. This wide range of research has ensured that I maintain a balanced view of current statistical research methods and practical problems of interest to the wider scientific community.

      It has been an honour to be nominated for the ISBA board. I have already served ISBA in the past: as a graduate student I was an Associate editor of the Student section of The ISBA Bulletin. If elected I will keep on promoting the use of the Bayesian paradigm among different sciences and try to also support Bayesian training. Bayesian statistics is becoming more and more known and I would like to support this.

 

  • Kate Calder, Ohio State University, calder@stat.osu.edu


    I am Associate Professor of Statistics at the Ohio State University. My research is primarily in the area of Bayesian spatial and spatio-temporal statistics. I work in a variety of areas of application in the environmental, social, and health sciences. I have had the privilege of serving ISBA over the past several years as the editor of the Applications Section of the ISBA Bulletin (2004-2007), as a member of ISBA nominating committee (2008), and as an associate editor of Bayesian Analysis (2009-present). In addition, I am currently an associate editor for three other journals (Annals of Applied Statistics, Biometrics, and Environmetrics) and actively participate in the ASA Sections on Bayesian Statistical Science and Environmental Statistics.

    It is an honor to be nominated to be a member of the ISBA Board. If elected, one goal would be to pursue additional sources of funding to increase opportunities for students from across the world to participate in ISBA-sponsored conferences and workshops. In my opinion, such opportunities are essential to fostering the development of the next generation of Bayesian statisticians and securing the continued growth of the ISBA community.

    Web: http://www.stat.osu.edu/~calder

  • Jerry Reiter, Duke University,  jerry@stat.duke.edu


    I am honored to be a candidate for the board of directors of ISBA. Currently, I am the Mrs. Alexander Hehmeyer Associate Professor of Statistical Science at Duke University in Durham, NC, USA. My main research interests center on bringing Bayesian and modern computational approaches to bear on problems in official statistics. In particular, I work extensively on methods for protecting data subjects' confidentiality and for handling missing/faulty values in public use datasets. Given the complexity of these problems, Bayesian modeling clearly offers the best, and arguably the only, path to broadly-applicable and reliable solutions. I also very much enjoy and value teaching students at all levels about Bayesian inference. For example, I teach an "Intro to Bayes" course for graduate and advanced undergraduate students, and introductory undergraduate statistics courses in which I always include Bayesian inference. I am the secretary/treasurer elect for the SBSS of the ASA, the chair of the ASA Privacy and Confidentiality Committee, and an associate editor for four journals including JASA. If elected to the ISBA board, I would look for opportunities to help ISBA best serve its members, and I would work to promote ISBA and Bayesian thinking among official statisticians and educators.

    Web: http://www.stat.duke.edu/~jerry/

  • Zoubin Ghahramani, Cambridge University, zoubin@eng.cam.ac.uk


    I've been an active Bayesian statistician for over a decade, working at the boundaries between statistics, machine learning, engineering and other fields. I am passionate about the future of Bayesian statistics, and would be delighted to serve on the ISBA board. My research has focused on nonparametric Bayesian methods in machine learning, approximate inference, graphical models, and applications of Bayesian statistics to areas such as bioinformatics, information retrieval, econometrics, and neuroscience.

    I'm currently Professor of Information Engineering at the University of Cambridge, UK, and also Associate Research Professor of Machine Learning at Carnegie Mellon University, USA. I've served on the editorial boards of several leading journals in the field, including Journal of Machine Learning Research, Annals of Statistics, and Bayesian Analysis. I was recently Associate Editor in Chief of IEEE Transactions on Pattern Analysis and Machine Intelligence, one of the IEEE's highest impact journals. I served on the Board of the International Machine Learning Society (2006-2011), and was Program Chair (2007) and General Chair (2011) of the International Conference on Machine Learning, and Program Chair (2005) of the AI and Statistics Conference.

    We are in a very exciting decade for Bayesian statistics. The field is growing tremendously, and many of the new practitioners and contributors are from outside mainstream statistics. ISBA should continue to be a central resource for Bayesian Statisticians but can also be a focal point for these other communities. I hope to bring to the ISBA board my experience working in a number of diverse roles in academia, in several countries, and in non-statistics fields. I also hope to contribute with my dedication to furthering education and research in Bayesian statistics.

    Web: http://mlg.eng.cam.ac.uk/zoubin/

  • Robert Gramacy, University of Chicago, rbgramacy@chicagobooth.edu


    I am an assistant professor of Econometrics and Statistics, and Kemper Foundation Faculty Scholar, at the University of Chicago, Booth School of Business. I am a computational statistician who values implementation and methodology equally. Bayesian statistical inference is well aligned with my skill set, and with how I think about the scientific enterprise. One of my career goals is to enrich the set of open-source (R) tools for Bayesian inference that are both readily deployable by non-expert practitioners, and simultaneously extendable and customizable by expert statisticians and computer scientists. My main research interests lie in the sequential design and optimization of computer experiments, although I also have worked on problems of covariance estimation in finance, ecological and epidemiological modeling and intervention, and on public policy. My first service to the Bayesian statistical community was as a web designer/maintainer for the International workshop on Bayesian data analysis, held at UCSC in 2003. Subsequently, I was the associate editor of the Student Corner section of the ISBA bulletin from 2005-2006. I am currently an associate editor for Bayesian Analysis and Technometrics. ISBA and its members have been very generous to me. For instance, I was delighted to have received a Savage award for my PhD thesis in 2006. I am keen to give back to the community and, in particular, help other young Bayesians find their way. This is an exciting time to be a Bayesian - our family is growing at a breakneck pace - and I am looking forward to the opportunity to help guide us through the next phase as a member of the ISBA board. I hope that as we grow we can retain some of the warmth and sense of intimacy that greeted me when I attended my first ISBA world meeting in Chile in 2004.

    Web: http://faculty.chicagobooth.edu/robert.gramacy/

  • Paul Fearnhead, University of Lancaster, p.fearnhead@lancaster.ac.uk


    I am Professor of Statistics at Lancaster University. My research interests cover both computational statistical methods and their application. Of particular interest are new methods that enable inference for complex stochastic models. I have worked on developing sequential Monte Carlo and ABC methods; computational methods for changepoint models and diffusions; and numerous applications in population genetics and bioinformatics. I have been associate editor of JRSS series B, Biostatistics and Statistics and Computing, and I am currently involved with the Royal Statistical Society in the UK. I would be honoured to serve on the ISBA board.

    Web: http://www.maths.lancs.ac.uk/~fearnhea/

  • Wes Johnson, University of California Irvine, wjohnson@uci.edu


    I am a professor of statistics at the University of California, Irvine. My main recent research focus has been on Bayesian parametric, semi-parametric and non-parametric methods for general regression problems, survival analysis, and for longitudinal and diagnostic outcome data. I spend a fair amount of time learning how to take real prior information and induce it onto the parameters of complex models. I have long collaborated with a number of veterinary epidemiologists and have given several workshops that present Bayesian methods that are designed to suit their needs.

    I was the local arrangements coordinator for ISBA1, have served one previous term on the ISBA board, served as Chair of the Savage Trust Committee, was a member of the Savage Award Committee, and was an AE for BA for several years. I am currently Chair of SBSS, was previously its program chair. I was also recently program chair for WNAR and was formerly its president, and have served as AE for several other journals.

    I recently chaired the SBSS mixer at the JSM-Miami. I would like to report that it was exceptionally well attended and vibrant meaning people were having a good time. I plan to do my best to foster Bayesian Statistics and enthusiasm for it in every way that I can, including as a member of the ISBA board, if elected.

    Web: http://www.ics.uci.edu/~wjohnson/

BNP CHAIR ELECT (2012), CHAIR (2013):
    • Steve MacEachern, Ohio State University, snm@stat.osu.edu


      I am Professor of Statistics at The Ohio State University. My research interests are wide-ranging, and I’ve thought hard about and worked on a number of problems, from application to theory, often with a strong computational element, and from both classical and Bayesian perspectives. But the area I hold nearest and dearest to my heart is Bayesian nonparametrics, in its many varied forms. The nonparametric Bayesian community stands out as the best I’ve seen—positive and supportive of one another, very open to others joining the community, and working on great forward-looking problems. I believe that these are key reasons why the area has attracted an outsized share of the brightest young researchers, and has produced tremendous techniques that are having such a great impact throughout Bayesian statistics and well beyond. I’ll do my best to keep the spirit of the community alive and to promote activities both fully under ISBA’s umbrella and jointly with other groups.

      I have previously served the Bayesian community as a board member and member of the ISBA Nominating Committee, as Program Chair and chair of the Committee to Nominate Fellows of the ASA’s Bayesian section, as a member of the Savage Award Committee, and as an AE for Bayesian Analysis since the journal’s inception. More broadly, I have been Program Chair for the ASA sections on Nonparametrics and on Graphics, have been/am an AE for a few other journals, and have helped to organize conferences, most notably as Program Chair for the 2012 JSM.

      Web: http://www.stat.osu.edu/~snm

 

  • David Dunson, Duke University, dunson@stat.duke.edu


    I am a Professor in the Department of Statistical Science at Duke University. My research focuses broadly on Bayesian methodology, with a particularly emphasis on nonparametric Bayesian approaches motivated by high-dimensional and complex data arising in applications ranging from genetics to machine learning. I am excited about the possibility of chairing the Nonparametrics section of ISBA. My philosophy is that Bayesian nonparametric models, which are defined to have large support, are always preferable to parametric models, which violate the widely accepted rule that all parametric models are wrong. However, one should also be pragmatic and motivated by real world applications. The most exciting developments in Bayesian nonparametrics involve new models and computational algorithms that make a practical difference in applications. However, it is important to not simply define a model and turn a computational crank but to carefully study the properties of the model and computational algorithms that are utilized. In recent years, there has been an increasingly rich and exciting literature providing theoretical foundations to complement the exciting modeling and computational innovations. The machine learning community has been critical in spurring on the rapid pace of development, leading to increasing impact in broad application areas. I have a somewhat unique perspective in being a nonparametric Bayesian statistician, with a recent strong interest in theory (e.g., convergence rates), while also being an active member of the machine learning community; I routinely publish in both leading stats journals (Biometrika, JASA, etc) and machine learning proceedings (ICML, NIPS) and have been actively involved in both stats and machine learning program committees. As chair of the Nonparametrics section of ISBA, I will draw on this broad perspective to encourage participation of both communities in the section and associated workshops, while also organizing workshops at convenient times and locations. We would all benefit by more collaboration and interplay between the theory and applications communities.

    Web: http://www.stat.duke.edu/~dunson/

BNP PROGRAM CHAIR (2012-2013):
  • Abel Rodriguez, University of California Santa Cruz, abel@soe.ucsc.edu


    I am very honored by this nomination. The field of nonparametric Bayesian methods has expanded dramatically in the last ten years, and I have been lucky enough to be part of that expansion. As the Program Chair for the BNP section I mean to channel the energy of our community to help increase our presence on international conferences and workshops. For example, the Section could sponsor invited and contributed sessions for the biannual ISBA meeting. I also believe that the BNP community needs to build closer links with the community working on traditional nonparametric methods. I am currently an Associate Professor at the University of California, Santa Cruz. Besides nonparametric Bayesian methods, my research interests include graphical models and network analysis, as well as applications in finance, public health, and computational biology. I am currently an Associate Editor with the Annals of Applied Statistics, have served in the travel award committee of the Section of Bayesian Statistical Sciences of the American Statistical Association, and recently managed the NSF-funded travel support award for the 8th BNP meeting in Veracruz. I also have experience organizing scientific meetings; last year I organized a CBMS-NSF conference on nonparametric Bayesian methods at the UC Santa Cruz campus, and next year I will be organizing the next SBIES meeting and a second CBMS-NSF meeting on Model Uncertainty and Multiplicity.

    Web: http://users.soe.ucsc.edu/~abel/

  • Michele Guindani, University of Texas MD Andersen Cancer Center, michele.guindani@me.com


    I am currently an Assistant Professor at the Department of Biostatistics at the MD Anderson Cancer Center, where I joined in August 2010 after spending 3 years as Assistant Professor at University of New Mexico. I received my Ph.D. from Bocconi University, Milan, Italy. During my Ph.D., postdoc and after, I have been blessed by the mentorship and collaboration of great people, who have made me a fervent and dedicated "homo Bayesianis Nonparametriensis''. My current interests rest in the use of Bayesian Nonparametric methods for a wide set of problems, including the analysis of genomic, clinical and spatially referenced data, as well as multicomparison discovery procedures. I thank the section committee for nominating me for this position. If elected, I hope to fulfill the expectations and continue the great work that Ramses Mena, the previous program chair, has carried on. The recent BNP workshop in Veracruz has proved that our field is wild and lively, with so many theoretical developments, so many applied contributions, and definitely so much responsibility for a program chair!

    Web: http://odin.mdacc.tmc.edu/~mguindani/

BNP TREASURER (2012-2013):
  • Maria Kalli, University of Kent, M.Kalli@kent.ac.uk


    I have been a lecturer in statistics at the Centre of Health Services Studies at the University of Kent since January 2008. I gained my PhD in statistics in November 2008, and my thesis work was based on Bayesian nonparametric methods applied to Financial Econometrics. I continue research in these two areas as well as Bayesian variable selection, stochastic processes, MCMC with applications to macroeconomics. Prior to my academic career I was an associate at the Equity Derivatives division at Goldman Sachs (London) and a manager in the business services division of KPMG Peat Marwick. I hold an MBA in financial engineering from the Stern School of Business at NYU and I am qualified as a Chartered Accountant.

    I have been treasurer of youth division of the Cyprus section of the Rotary club. Since then I have acted as treasure of the Cyprus Rotary club from 2000-2004. I am currently the treasurer of the Cyprus MBA association.

  • Thanasis Kottas, University of California Santa Cruz, thanos@ams.ucsc.edu


    It is an honor to be nominated as an officer for the young ISBA section on Bayesian nonparametrics. I am currently an Associate Professor in the Department of Applied Mathematics and Statistics at the University of California, Santa Cruz. My research focuses on Bayesian nonparametric methods for regression problems, modeling for point processes, and survival analysis, with particular emphasis on applications. I have been the instructor of regular and short courses on applied Bayesian nonparametrics, and served on the organizing committee of two conferences on nonparametric Bayesian methods. I am currently an Associate Editor for Bayesian Analysis and an Action Editor for the Journal of Machine Learning Research. These are exciting times for Bayesian nonparametrics, and if elected, I hope to promote the current level of enthusiasm for the field.

    Web: http://users.soe.ucsc.edu/~thanos/

OB CHAIR (2012-2013):
    • Ed George, University of Pennsylvania, edgeorge@wharton.upenn.edu


      I would be very pleased to have the opportunity to serve as Chair of the Objective Bayes Section of ISBA. To meet the dramatic escalation of the demand for Bayesian solutions to real problems, I feel it essential that ISBA promote the development of Bayesian methodology that can be effective with limited, or even no, subjective input. I completely support the mission of the Objective Bayes Section to encourage this development through workshop and conference organization. I am currently Professor and Chairman of the Department of Statistics at the University of Pennsylvania. Over the years, I have served ISBA as President, as Chair of the Program Council, and as a member of the Board of Directors and numerous other conference and prize committees.

      Web: http://www.wharton.upenn.edu/faculty/george.html

 

    • Luis Pericchi, University of Puerto Rico, luarpr@gmail.com


      I was very pleased to have been suggested as a candidate for coordinating the O’Bayes section. OBayes meetings and section are very dear to me.

      In my experience on scientific conferences of all kinds, some of the deepest discussions, and most useful and practical ones, has taken place in OBayes Meetings. OBayes not only enlarges the applicability of the Bayesian Approach, but also it is a wonderful venue to interact, and convince!, open minded statisticians of all schools of thought. It is the Objective Bayesian arena, on which a “compromise” among statistical schools is taking place, for a better statistical practice and philosophy.

      I was also pleased to know the other candidate is my friend Ed George, a colleague that I admire. Either way this election goes, Ed and I will work together I am sure.

      I have served in ISBA Board of Directors and as a Program Chair.

      Web: http://www.cesma.usb.ve/~pericchi/

 

OB Secretary (2012-2013):
  • Marilena Barbieri, U Roma 3, barbieri@uniroma3.it


    I am professor at Universita' Roma Tre (Italy). My research interests include interactions between Bayesian and frequentist methods; prior elicitation; model choice and test, mainly using an Objective Bayesian approach. I would be glad to help to promote research in Objective Bayesian inference.

    I have served ISBA on two nominating committees, the last one in 2009, and as a member of the Board from 2006 to 2008. I have also been a member of the Savage Awards 2010 committee and of the organizing committee of the 2007 International Workshop on Objective Bayes Methodology in Rome. I would be very honoured to serve as Secretary of the Section on Objective Bayes.

    Web: http://dipeco.uniroma3.it/docenti.asp?id=128

  • Jaeyong Lee, Seoul National University


    It is my honor to be nominated as the secretary of Objective Bayes section. I am professor of the department of statistics at Seoul National University in South Korea, and will be the chair of the department from September of 2011. My research focus has been theoretical properties and posterior computation of Bayesian nonparametric models. Recently, I am also interested in high-dimensional Bayesian modeling. I am currently an associate editor of Bayesian Analysis and Journal of Biopharmaceutical Statistics. I was a member of nomination committee for ISBA in 2010. I am a member of program committee for ISBA 2012 meeting and the current secretary of Objective Bayes section. I will be honored to serve as the secretary of Objective Bayes section.

    Web: http://stat.snu.ac.kr/leej/index.html