April 2009
Sun Mon Tue Wed Thu Fri Sat
      1 2 3 4
5 6 7 8 9 10 11
12 13 14 15 16 17 18
19 20 21 22 23 24 25
26 27 28 29 30    

Authors' Committee


Matt Blackwell (Gov)


Martin Andersen (HealthPol)
Kevin Bartz (Stats)
Deirdre Bloome (Social Policy)
John Graves (HealthPol)
Rich Nielsen (Gov)
Maya Sen (Gov)
Gary King (Gov)

Weekly Research Workshop Sponsors

Alberto Abadie, Lee Fleming, Adam Glynn, Guido Imbens, Gary King, Arthur Spirling, Jamie Robins, Don Rubin, Chris Winship

Weekly Workshop Schedule

Recent Comments

Recent Entries



SMR Blog
Brad DeLong
Cognitive Daily
Complexity & Social Networks
Developing Intelligence
The Education Wonks
Empirical Legal Studies
Free Exchange
Health Care Economist
Junk Charts
Language Log
Law & Econ Prof Blog
Machine Learning (Theory)
Marginal Revolution
Mixing Memory
Mystery Pollster
New Economist
Political Arithmetik
Political Science Methods
Pure Pedantry
Science & Law Blog
Simon Jackman
Social Science++
Statistical modeling, causal inference, and social science



Powered by
Movable Type 4.24-en

« April 24, 2009 | Main | May 10, 2009 »

28 April 2009

Yee on ``Vector Generalized Linear and Additive Models"

Please join us for our final meeting tomorrow when Thomas Yee, Department of Statistics, University of Auckland will present ``Vector generalized linear and additive models". Thomas provided the following abstract for his talk:

The class of vector generalized linear and additive models (VGLMs/VGAMs) is very large and contains many statistical models relevant to quantitative social science, e.g., univariate and multivariate distributions, categorical data analysis, time series, survival analysis, extreme value analysis, mixture models, correlated binary data, and nonlinear regression. I'll first give an overview of the framework and tie it in with practice using my VGAM package for R. Then we will focus on two sub-topics: reduced-rank VGLMs and quantile/expectile regression. The former handles the reduced-rank multinomial logit model (aka stereotype model) and Goodman's row-column association model; applications of the latter are becoming popular in many fields. Time allowing, I'll describe several sub-projects I'm currently working on since arriving at IQSS.
The Applied Statistics workshop meets each Wednesday in room K-354, CGIS-Knafel (1737 Cambridge St). We start at 12 noon with a light lunch, with presentations beginning around 1215 and we usually wrap up around 130 pm.

Posted by Justin Grimmer at 3:12 PM