May 5th, 2008| 03:08 am | Posted by hlee
Since I learned Hubble’s tuning fork[] for the first time, I wanted to do classification (semi-supervised learning seems more suitable) galaxies based on their features (colors and spectra), instead of labor intensive human eye classification. Ironically, at that time I didn’t know there is a field of computer science called machine learning nor statistics which do such studies. Upon switching to statistics with a hope of understanding statistical packages implemented in IRAF and IDL, and learning better the contents of Numerical Recipes and Bevington’s book, the ignorance was not the enemy, but the accessibility of data was. Continue reading ‘[ArXiv] 5th week, Apr. 2008’ »
Tags:
ANN,
automation,
Classification,
correlation function,
denoising,
FFT,
gravitational wave,
lensing,
LISA,
machine learning,
missing data,
mock data,
morphology,
PCA,
power spectrum,
robust,
SDSS,
spectrum,
sunspots,
wavelet,
zoo Category:
Galaxies,
Imaging,
MCMC,
Physics,
Spectral,
arXiv |
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Oct 30th, 2007| 03:37 am | Posted by hlee
From arxiv/astro-ph:0705.4199v1
In search of an unbiased temperature estimator for statistically poor X-ray spectra
A. Leccardi and S. Molendi
There was a delay of writing about this paper, which by accident was lying under the pile of papers irrelevant to astrostatistics. (It has been quite overwhelming to track papers with various statistical applications and papers with rooms left for statistical improvements from arxiv:astro-ph). Although there is a posting about this paper (see Vinay’s posting), I’d like to give a shot. I was very excited because I haven’t seen any astronomical papers discussing unbiased estimators solely.
Continue reading ‘[ArXiv] An unbiased estimator, May 29, 2007’ »
Tags:
chi-square,
maximum likelihood,
mixing distribution,
mixture,
nonparametric,
robust,
subsampling,
transformation,
unbiased,
Uncertainty Category:
Frequentist,
Stat,
arXiv |
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