Ryan Rosario

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Graduate Student
Department of Statistics
http://www.stat.ucla.edu/~rosario

Ryan is a graduate student researcher.

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[edit] Contact Information

  • email: Image:rosario-Email.jpg
  • Office: MS 8208

[edit] Education

  • Entering second year; pursuing Statistics, Ph.D.
  • Received Mathematics of Computation and Statistics B.S., 2006, University of California, Los Angeles.

[edit] Ways I Can Help

  • Statistics and Probability: model building/fitting, data mining and scripting to retrieve data, spatial statistics, time series analysis, sampling issues, etc.
  • Very knowledgeable in internet protocols.
  • R and Python fanatic.
  • Frequent user of GRASS GIS.
  • Proficient in C++, Perl, PHP, Python, R, HTML. Currently learning JavaScript and XML (for AJAX) and Ruby on Rails.

[edit] CENS Projects

  • Working on data integrity and fault detection under Mark Hansen.
    • At this stage, mainly trying to learn the Kepler workflow system.
    • Working with SensorBase code for modifications related to data integrity and maintenance.

[edit] Other Projects and Positions

  • Teaching Assistant, Summer Session C, Statistics 10, section 2B.
  • Graduate Student Researcher for the Center for Environmental Statistics under Jan de Leeuw, designing a portal in Ruby on Rails for graduate students in the Statistics department. Features a database of tutorials and links on R, GRASS GIS and LaTeX. A joint effort with Jose Hales-Garcia.
  • Graduate Student Researcher for Statistics/Psychology professor Peter Bentler. Currently working on spam classification project as a review and application of Markov chain monte carlo methods.
  • Ambulance Response Times in Southern California, Center for Environmental Statistics. Investigating how location affects ambulance response time and violations in various Southern California counties using spatial statistics and GRASS GIS. A joint effort with Jan de Leeuw, Josh Chang and Hai Nguyen.

[edit] Research Interests

  • Multivariate and latent trait analysis especially applied to psychometrics and item response theory, particularly educational measurement.
  • Information theory and the proliferation of data, particularly on the Internet.
  • Network theory with applications to Internet traffic and social network analysis.
  • Other applications in computer science: some interest in classification and learning.
  • Applications to aviation (i.e. radar traces, flight data recorders, flight network analysis, safety statistics)

[edit] Links

I will put something here eventually. Links of interest, as well as links to sites that can help others with statistical issues, as well as R and GRASS.

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