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UCLA Department of Statistics Presents

UCLA Department of Statistics Seminar Series

Tue, 5/26/2015, 2:00 PM—3:00 PM
2258A Franz Hall

Dr. Sudipto Banerjee

Department of Biostatistics
UCLA

On Bayesian Modeling and Inference for High-Dimensional Geostatistical Datasets

With the growing capabilities of Geographical Information Systems (GIS) and user-friendly software, statisticians today routinely encounter geographically referenced datasets containing observations from a large number of spatial locations. Over the last decade, hierarchical spatial process models have become widely deployed statistical tools for researchers to better understanding the complex nature of spatial variability. However, fitting hierarchical spatial models often involves expensive matrix operations of cubic order with the number of spatial locations. This renders such models unfeasible for large spatial data sets. In this talk, I will present two approaches for constructing well-defined spatial stochastic processes that accrue substantial computational savings. Both these processes can be used as "priors" for spatial random fields. The first approach constructs a low-rank process operating on a lower-dimensional subspace. The second approach constructs a Nearest-Neighbor Gaussian Process (NNGP) that can be exploited as a dimension-reducing prior embedded within a rich and flexible hierarchical modeling framework to deliver exact Bayesian inference. Both these approaches lead to Markov chain Monte Carlo algorithms with floating point operations (flops) that are linear in the number of spatial locations (per iteration). We compare these methods and demonstrate its use in inferring on the spatial distribution of forest biomass from the US Forest Inventory database spanning the continental US.
Joint work with Abhirup Datta Andrew O. Finley and Alan E. Gelfand.

Assistant Adjunct Professor

The Department of Statistics at the University of California, Los Angeles, is seeking applicants for a 33% Adjunct Assistant Professor position in Statistics. Duties including teaching graduate statistics courses in theoretical statistics, especially large sample theory, as well as undergraduate courses in multivariate analysis or statistics for the life sciences, as well as engaging in cutting edge research in theoretical statistics and multivariate analysis. The candidate will also be expected to assist with planning and organizing our weekly Statistics seminar series. We welcome applicants whose experience in research, teaching and service has prepared them to contribute to UCLA's commitment to excellence and diversity. Ph.D. in Statistics or a related field is required by date of anticipated appointment of July 1, 2015. Salary will be commensurate with education and experience. Reviews for the position will commence immediately and will continue until a successful candidate is identified.

Reviews for the position will commence on May 15, 2015 and will close on June 14. Interested applicants should apply at UCLA Academic Recruit at:

https://recruit.apo.ucla.edu/apply/JPF01161

The University of California is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, age or protected veteran status. For the complete University of California nondiscrimination and affirmative action policy see:

http://policy.ucop.edu/doc/4000376/NondiscrimAffirmAct

Applicants should submit a CV.

All inquiries may be sent to Chie Ryu at chie.ryu@stat.ucla.edu.

Contact
Chie Ryu, che.ryu@stat.ucla.edu

Assistant Researcher / Assistant Adjunct Professor

The Department of Statistics at the University of California, Los Angeles has an open position for an 88% Assistant Researcher and 12% Assistant Adjunct Professor (combined 100% full employment) starting on July 1, 2015.

We seek applicants who can contribute to the research excellence in the UCLA Center for Vision, Cognition, Learning and Art (URL: vcla.stat.ucla.edu) and to teaching undergraduate and graduate course in statistics.

A qualified applicant should have obtained a Ph.D degree in Statistics by July 1, 2015, with research interest in the area of computer vision and pattern recognition, statistical modeling and computing, and statistical learning, and has demonstrated strength in both research and teaching.

Reviews for the position will commence on May 15, 2015 and will close on June 14. Interested applicants should apply at UCLA Academic Recruit at:

https://recruit.apo.ucla.edu/apply/JPF01173

The University of California is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, age or protected veteran status. For the complete University of California nondiscrimination and affirmative action policy see:

http://policy.ucop.edu/doc/4000376/NondiscrimAffirmAct

Applicants should submit a CV.

All inquiries may be sent to Chie Ryu at chie.ryu@stat.ucla.edu.

Judea Pearl to Receive Honorary Doctorate from Carnegie Mellon University

http://newsroom.ucla.edu/dept/faculty/judea-pearl-to-receive-honorary-doctorate-from-carnegie-mellon-university

Edmunds.com Sponsors Data Set For Fifth ASA DataFest at UCLA

http://dailybruin.com/2015/04/27/edmunds-com-sponsors-data-set-for-fifth-asa-datafest-at-ucla/

New "Introduction to Data Science" Class Offers Alternative Approach at High School

http://www.pressreader.com/usa/los-angeles-times/20150427/281779922673644/TextView

Two of Our Faculty Named as Fellows of the American Statistical Association

Congratulations to both Peter Bentler (Distinguished Professor) and Catherine Sugar (Associate Professor in Biostatistics) who have both been named as Fellows of the American Statistical Association (ASA). The decision to grant this honor to an ASA member is based on the member’s contribution to the field of statistics, the ASA and society at large. Only about one-third of one percent of the ASA membership receive this honor each year.

Summer Session 2015 Classes Announced

Please enroll in classes now before they fill up!