Comments on: A Quote on Model
http://hea-www.harvard.edu/AstroStat/slog/2008/a-quote-on-model/
Weaving together Astronomy+Statistics+Computer Science+Engineering+Intrumentation, far beyond the growing bordersFri, 01 Jun 2012 18:47:52 +0000hourly1http://wordpress.org/?v=3.4By: Alex
http://hea-www.harvard.edu/AstroStat/slog/2008/a-quote-on-model/comment-page-1/#comment-785
AlexThu, 09 Oct 2008 02:12:13 +0000http://hea-www.harvard.edu/AstroStat/slog/?p=984#comment-785It appears to me that many inference problems in astronomy are essentially variants of <a href="http://en.wikipedia.org/wiki/Generalized_linear_model" rel="nofollow">generalized linear models</a> (of the Poisson distribution, log link variety, in particular). Granted, most of the problems we work on in the astrostatistics group are more complex due to a large number of parameters or other complications. However, for everyday astronomical analysis, GLMs seem like a natural improvement on linear regression and other methods based on Gaussian error models.It appears to me that many inference problems in astronomy are essentially variants of generalized linear models (of the Poisson distribution, log link variety, in particular). Granted, most of the problems we work on in the astrostatistics group are more complex due to a large number of parameters or other complications. However, for everyday astronomical analysis, GLMs seem like a natural improvement on linear regression and other methods based on Gaussian error models.
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