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UCLA Department of Statistics Speakers Series

3 - 4 pm, Tuesday, November 24, 2009
4660 Geology Bldg.

Jeroen Ooms


Department of Methodology and Statistics
Utrecht University

Web Development with R

Web applications are becoming increasingly important in offering software to the user. The main advantage above classical client-based software is that new or improved applications can easily be made available to a wide audience. Furthermore web applications are by design server-based, and therefore make more efficient use of resources and are easier to maintain.

In this presentation will be demonstrated how to create an R web application: a (graphical) web interface for an R function or package. Some examples of R web applications are demonstrated on my homepage: http://www.stat.ucla.edu/~jeroen. During the presentation we will take an in depth look at the design of some of these applications. The presentation will include a simple demonstration of how to create such an application, as well as some theory about the underlying ideas and concepts.


Part-time Lecturer Position Available for 2009-2010 Academic Year

Status: Open

The UCLA Department of Statistics seeks a temporary part-time lecturer to teach introductory statistics during the winter quarter in the 2009-10 academic year. Ideal candidates will have a Ph.D. in Statistics, demonstrated excellence in teaching, knowledge of and experience with R, experience in applied statistics, and a commitment to excellent undergraduate teaching. If interested, please send a CV and cover letter to:

Robert Gould
Vice-Chair of Undergraduate Studies
UCLA Department of Statistics
8125 Math Sciences Building
Box 951554
Los Angeles, CA 90095-1554
rgould@stat.ucla.edu

In cover letter, please address teaching experience and provide evidence of teaching excellence. Women and underrepresented minorities are encouraged to apply. Full consideration is guaranteed to those who apply by November 13, 2009, however, the search will remain open until all positions are filled.

The University of California Los Angeles is an Equal Opportunity/Affirmative Action Employer.

Contact: Rob Gould

Posted: 2009-11-02, 11:17:00 by Jose Hales-Garcia

2009 UCLA Statistics Commencement

The Department of Statistics is holding its annual Commencement Celebration at 12:30 p.m. on Saturday June 13, 2009 at the IPAM Building.

This year, sixteen students received the Bachelor’s of Science degree in Statistics. The following students have completed their degree requirements or are expected to complete their degree requirements by Summer 2009:

  • Melanie Chan
  • Charles Dang
  • Robert Eisman
  • Kevin Fujii
  • Stephen Kim
  • Victor Louie
  • Ray Mak
  • Jose Manzo
  • Andres William Medina
  • James O'Shea
  • Johnathan Selenkow
  • Matthew Shaffer
  • Norman Tsai
  • Benjamin Wong
  • Jaixi Zhang
  • Chaojie (Jay) Zhou

Five students have completed their degree requirements or are expected to complete their degree requirements with a Minor in Statistics by Summer 2009. These students are:

  • Puini Ha
  • Tu Wang Ng
  • Parsa Sobhani
  • Wing Sum Tsang
  • Joshua Zhou

Twenty-one students have completed their degree requirements or are expected to receive their Masters of Science degree in Statistics by the end of Summer 2009:

  • Xiao Cai
  • Mine Cetinkaya
  • Miles Chen
  • Kuei-yu Chien
  • Robert Clements
  • Xianhui (Cindy) He
  • Pan Jiang
  • Matthew Kugizaki
  • Irina Kukuyeva
  • Paul Jinwook Lee
  • Rui Liu
  • Hai Nguyen
  • Rakhee Patel
  • Jason Somerville
  • Kekona Sorenson
  • Ping Huan Sun
  • Yuliya Yaglovskaya
  • Xiaofei Yan
  • Zhenyu Yao
  • Zhongyang (Thomas) Zhang
  • Mingtian Zhao

Nine students have completed their degree requirements or are expecting to complete their Ph.D. in Statistics by the end of Summer 2009. Their names, dissertation titles and advisor’s names are:

Ariana Anderson
Machine Learning for Classification and Diagnosis of Functional Magnetic Resonance Image Scans, Advisor: Alan Yuille
Janice Brodsky
Open Problems in Genome-wide Association Studies, Advisor: Chiara Sabatti
Ann Chu
Practical Aspects in the Estimation of Space-time Branching Point Process Models for Earthquake Occurrences, Advisor: Rick Paik Schoenberg
Sheela Nair
Finding Fault: Anomaly Detection for Embedded Networked Sensing, Advisor: Mark Hansen
Jacob Porway
Learning and Inference in Hierarchical and Contextual Model for Object and Scenes, Advisor: Song-Chun Zhu
Ka Wong
Anisotropic Spatial Extensions of Stochastic Models for Earthquake Occurrences, Advisor: Rick Paik Schoenberg
Kent Xiaofeng Shi
Mapping Natural Image Patches by Explicit and Implicit Manifolds, Advisor: Song-Chun Zhu
Kin Hing (Fred) Phoa
Analysis and Construction of Nonregular Fractional Factorial Designs, Advisor: Hongquan Xu
Long (Leo) Zhu
Recursive Composition for Modeling, Inference, and Learning in Computer Vision, Advisor: Alan Yuille

All dissertations and theses can be obtained at http://theses.stat.ucla.edu


Date Posted: 2009-05-29, 22:03:00


Rakhee Patel: 2009 Teaching Assistant of the Year

We are very pleased to announce that Rakhee Patel has been selected as TA of the Year.

This year we had a very strong set of nominees for TA of the Year. Many of those nominated by faculty received multiple nominations, and all with very high praise. The level of commitment of all of our TAs is very high, and every year we single a few out for special mention.

This year honorable mention goes to Mine Cetinkaya, Miles Chen, Fei Fu, Nathan Langholz, and Masanao Yajima.

We hope you can join us at our graduation ceremony this year, June 13th, 1pm at IPAM to publicly honor and thank these outstanding TAs.


Date Posted: 2009-05-29, 16:31:00


Mine Cetinkaya: Collegium of University Teaching Fellow

We would like to congratulate Mine Cetinkaya for receiving a Collegium of University Teaching Fellows teaching fellowship to teach a course that she developed entitled “More Doctors Smoke Camels: Statistics and Science Behind Public Health Research and Policy”.

A Description of the Course

In this class we will discuss complex issues in public health through the lens of statistical reasoning. We will critically read and discuss scientific articles on smoking, obesity, nutrition and physical activity, and use these discussions as a platform for introducing statistical concepts.  We will consider multiple hypotheses about the causes and prevention of health problems related to these issues.  We will show that the path between data and inference is not as clear-cut as it often appears in popular media.

The goals of this course are twofold: (1) to understand how the public opinion and public policy have changed over the years with regard to these topics, and (2) to develop a critical understanding of statistical concepts that can be applied to better understand controversies around these and other issues.

We will also consider Statistics as a tool that can influence health policy development. We will look at cases where improper use of statistics has led to poor policies, and where sound use of statistics has contributed to the development of policies to improve health and well-being.

About the CUTF

The Collegium of University Teaching Fellows (CUTF) is an innovative program that creates unique learning opportunities for both graduate teaching fellows and undergraduate students on campus. Through the program, some of UCLA's very best advanced graduate students have the opportunity to develop and teach a lower division seminar in their field of specialization on a one-time only basis. This experience serves as a “capstone” to the teaching apprenticeship, preparing them for the academic job market and their role as future faculty. At the same time, undergraduates enrolled in CUTF seminars have the chance to take courses that are at the cutting edge of a discipline, and to experience the benefits of participating in a small-seminar environment.


Date Posted: 2009-05-29, 20:55:00


Yuliya Yaglovskaya Receives Graduate Research Fellowship Stipend

Yuliya Yaglovskaya has been awarded a three year stipend from the NFS Graduate Research Fellowship Program. Yuliya will receive $10,000 for educational fees and $30,000 per year to fund her research and writing of her doctoral thesis.

Although the funding is not tied to any specific research proposal, Yuliya’s research plans focus on environmental and climate change applications of statistics, in particular on modeling uncertainty in climate change. Yuliya will be working with Jan de Leeuw and Amy Braverman in her area of interest. To find out more about the GRFP or other graduate sources of funding, please visit the GFRP website or the UCLA Graduate Division Graduate Support website.

About the GRFP
The National Science Foundation aims to ensure the vitality of the human resource base of science, technology, engineering, and mathematics in the United States and to reinforce its diversity by offering approximately 900-1,600 graduate fellowships in this competition pending availability of funds. The Graduate Research Fellowship provides three years of support for graduate study leading to research-based master’s or doctoral degrees and is intended for students who are in the early stages of their graduate study. The Graduate Research Fellowship Program (GRFP) invests in graduate education for a cadre of diverse individuals who demonstrate their potential to successfully complete graduate degree programs in disciplines relevant to the mission of the National Science Foundation.


Date Posted: 2009-06-01, 15:42:00


Undergraduate Project Among the Top Four Winning Projects for the USPROC 2009

We are pleased to announce that two of our Statistics undergraduate majors, Victor Louie and Maykel Vosoughiazad, have received one of the top four awards for their paper "Recent Trends in Methane:  A Spacio-Temporal Analysis" in the 2009  Second Biennial International Undergraduate Student Project Competition (USPROC).

The final rankings will be announced at the United States Conference on Teaching Statistics (USCOTS) at Ohio State University, June 25-27. Victor and Maykel have been invited to the conference to present their work.

In their paper, Victor and Maykel perform spatio-temporal analysis of methane gas in the atmosphere of recent years. A newly discovered concern is that a large amount of methane is being released into the atmosphere through what are termed methane "chimneys" in the Arctic permafrost[1]. Victor and Maykel’s analysis includes variogram fitting, kriging predictions, hypothesis testing, and trend analysis to test this hypothesis.

We would like to congratulate Victor and Maykel for their achievement and acknowledge their supervisors Nicolas Christou and Dave Zes. Particular acknowledgement goes to Dave Zes for his hard work and dedication to the completion of this project, and to the Center of Environmental Statistics (CES) for providing the topics and ideas.

[1] http://www.latimes.com/news/science/environment/la-na-global-warming22-2009feb22,0,646220.story


Date Posted: 2009-05-29, 21:41:00


The First De Leeuw Seminar in Statistics, Tue, Mar 10: Statistics at Google Scale

UCLA Department of Statistics is pleased to announce the first annual De Leeuw Seminar in Statistics in honor of its founding chair, Jan de Leeuw.

The first speaker of the series will be Diane Lambert of Google and fellow of the American Statistical Association and the Institute of Mathematical Statistics.

Speaker: Diane Lambert, Google
Title: Statistics at Google Scale
Abstract: In a very real sense, Google can be thought of as a huge statistical analysis system. This talk will describe how Google uses statistics to turn huge amounts of heterogeneous datainto information about search, ads, and advertisers.
Date: Tuesday, March 10
Time: 3 - 5 pm
Location: 8500 Boelter Hall Penthouse (directions)

Reception will follow.


Date Posted: 2009-03-03, 12:52:00


Song-Chun Zhu Receives the J.K. Aggarwal Prize

We are pleased to announce that the second J.K. Aggarwal Prize has been awarded to Song-Chun Zhu.

The citation for the prize is:[1]

"For fundamental and pioneering contributions to a unified foundation for visual pattern conceptualization, modeling, learning, and inference with applications in computer vision and pattern recognition."

The countries of the endorsers are: the United States of America, China, the United Kingdom. The nominator is from the United States of America.

In the past 15 years, the nominee, in collaboration with his advisor Prof. David Mumford, colleagues (Profs. Yingnian Wu and Alan Yuille), and students, has developed a statistical modeling, learning, and inference approach to constructing a unified, and sound foundation of computer vision and pattern recognition. His approach has been influenced by the general pattern theory pioneered by Prof. Ulf Grenander. The nominee's contributions have profoundly impacted many areas of computer vision and pattern recognition. The nominee's major contributions are summarized below.

  • A minimax entropy learning scheme.
  • A unified model of texture.
  • PDEs bridging statistical learning and image processing.
  • Stochastic Inference algorithm for image segmentation and parsing.
  • A stochastic grammar, And-Or graph and top-down/bottom-up inference.
  • A mathematical framework for learning visual vocabulary: textons, primal sketch, and deformable models.

About the IAPR and the Aggarwal Prize[2]

The International Association for Pattern Recognition (IAPR) is an international association of non-profit, scientific or professional organizations (being national, multi-national, or international in scope) concerned with pattern recognition, computer vision, and image processing in a broad sense. Normally, only one organization is admitted from any one country, and individuals interested in taking part in IAPR's activities may do so by joining their national organization.

The International Association for Pattern Recognition (IAPR) is pleased to announce a call for nominations for the second J.K. Aggarwal Prize in honor of Professor J.K. Aggarwal.

Professor Aggarwal is widely recognized for his extensive contributions to the field of pattern recognition and for his participation in IAPR’s activities.

The recipient is a young scientist, under the age of 40 at the date of the deadline for nominations, who has brought a substantial contribution to a field that is relevant to the IAPR community and whose research work has had a major impact on the field. The prize consists of a cash amount and a suitably inscribed certificate. The prize is derived from interest income from a special fund set up for this purpose.

The prize recipient shall be selected by the J. K. Aggarwal Prize Committee, subject to approval by the IAPR Governing Board, upon nomination by a member of a national member society of IAPR and by endorsement of four members, representing at least two member societies different from that of the nominators and nominee.

Members of the IAPR Executive Committee, as well as of the J.K. Aggarwal Prize Committee, shall be ineligible for the prize and may not serve as nominators or endorsers.

The 2008 prize will be presented at the
19th International Conference on Pattern Recognition (ICPR)
Tampa, Florida, USA
8-11 December 2008

[1] From http://pine.eeng.dcu.ie/pipermail/iprcs/2008-August/000136.html

[2] From http://dev.conbrio.com/iapr/site/fellowsandawards/awards_aggarwal.php


Date Posted: 2008-09-19, 12:00:00


2008 Balmaseda Award Winners

It is with pleasure that we present the first Balmaseda Award. The 2008 recipients are:

All three recipients are Master of Science students who have just completed their first year in our Department, and all three had truly outstanding grades in their courses.

Each recipient will receive $1,000 from the Balmaseda Gift Fund.


Date Posted: 2008-08-21, 15:04:00


Irina Kukuyeva Receives Ott Scholarship

We would like to congratulate Irina Kukuyeva who has received the American Society for Quality's 2008 Ellis R. Ott Scholarship for Applied Statistics and Quality Management.

The Scholarship recipient must be a student who is planning to enroll or is currently enrolled in a masters degree or higher level US or Canadian program that has a concentration in applied statistics and/or quality management. Complete scholarship information and additional criteria are included in the application and instructions.
From http://www.asqstatdiv.org/awards.htm


Date Posted: 2008-08-04, 08:47:00


Position Available for Professor of Statistics in the Department of Statistics, UCLA

Status: Open

Applications and nominations are invited for the position of Professor of Statistics, any level (tenure-track Assistant Professor, tenured Associate Professor or tenured Full Professor), in the Department of Statistics at the University of California, Los Angeles.

The position targets candidates with high quality research, a strong teaching record, and with expertise preferably in one or more of the following areas: Environmental Statistics, Social Statistics, and Spatial Statistics. Qualified candidates must have a Ph.D. in Statistics or Biostatistics. The position is effective July 1, 2009.

Reviews for the position begin May 1, 2008, and will continue until the position is filled. Interested applicants should send a letter describing how their qualifications and interests would fit with the position description, along with their curriculum vitae, to:

Professor Jan de Leeuw
Department of Statistics
University of California at Los Angeles
8125 Math Sciences Building
Box 951554
Los Angeles, CA 90095-1554

The applicants should arrange for three letters of recommendation to be sent to Professor de Leeuw. Until the file is complete with the requested information, the application cannot be given full consideration.

The University of California Los Angeles and the Department of Statistics are interested in candidates who are committed to the highest standards of scholarship and professional activities, and to the development of a campus climate that supports equality and diversity.

The University of California is an Affirmative Action/Equal Opportunity Employer.

Contact: Jan de Leeuw

Posted: 2008-03-19, 08:21:00 by Jose Hales-Garcia

UCLA Department of Statistics Speakers Series

3 - 4 pm, Tuesday, November 17, 2009
4660 Geology Bldg.

Stefano Soatto


Computer Science
UCLA

Shannon Meets Gibson: Actionable Information and the Link Between Vision and Control

I will discuss a notion of visual information as complexity not of the raw data, but of the images after the effects of nuisance factors such as viewpoint and illumination are discounted. It is rooted in ideas of J. J. Gibson, and stands in contrast to traditional information as entropy or coding length of the data regardless of its use, and regardless of the nuisance factors affecting it. Its computation is made possible by a recent characterization of the set of images modulo viewpoint and contrast changes, that induce group (invertible) transformations on the domain and range of the image. The non-invertibility of nuisances such as occlusion and quantization induces an "information gap" that can only be bridged by controlling the data acquisition process. Measuring visual information entails early vision operations, tailored to the structure of the nuisances so as to be "lossless" with respect to visual decision and control tasks (as opposed to data transmission and storage tasks implicit in traditional information theory). I illustrate these ideas on visual exploration, whereby a "Shannonian Explorer" navigates unaware of the structure of the physical space surrounding it, while a "Gibsonian Explorer" is guided by the topology of the environment, despite measuring only images of it, without performing 3D reconstruction. This operational definition of visual information suggests desirable properties that a visual representation should possess to best accomplish vision-based decision and control tasks.

Welcome

Why Statistics?

The world is becoming more and more quantitative. Many professions depend on numerical measurements to make decisions in the face of uncertainty. Statisticians use quantitative abilities, statistical knowledge, and communication skills to work on many challenging problems.

Want to Learn More?

The Department of Statistics at UCLA coordinates undergraduate and graduate statistics teaching and research within the College of Letters and Sciences. We teach a large number of undergraduates and we have a substantial graduate program. Our research and teaching have a strong emphasis on computational and applied statistics.  We have an active consulting center for both on-campus and off-campus clients.

You can find the Department’s catalog on-line. We offer nearly one hundred courses; an undergraduate B.S. degree and Minor; and M.S. and Ph.D. degrees in Statistics.

Want to Help?

Donations and contributions of any amount to the Department of Statistics are greatly appreciated. Generous giving from the community, alumni, and parents helps the department to maintain high standards of computational technology and continue with its rapid growth. Thank you for your consideration. For more information please visit our webpage for online giving.

News & Events

« Web Development with R[Seminar: Tue, Nov 24]

« Part-time Lecturer Position Available for 2009-2010 Academic Year

« 2009 UCLA Statistics Commencement

« Rakhee Patel: 2009 Teaching Assistant of the Year

« Mine Cetinkaya: Collegium of University Teaching Fellow

« Yuliya Yaglovskaya Receives Graduate Research Fellowship Stipend

« Undergraduate Project Among the Top Four Winning Projects for the USPROC 2009

« The First De Leeuw Seminar in Statistics, Tue, Mar 10: Statistics at Google Scale

« Song-Chun Zhu Receives the J.K. Aggarwal Prize

« 2008 Balmaseda Award Winners

« Irina Kukuyeva Receives Ott Scholarship

« Position Available for Professor of Statistics in the Department of Statistics, UCLA

« Shannon Meets Gibson: Actionable Information and the Link Between Vision and Control[Seminar: Tue, Nov 17]

« Welcome


UCLA Department of Statistics
8125 Math Sciences Bldg.
Box 951554
Los Angeles, CA
90095-1554
310-825-8430
Fax: 310-206-5658