Sep 22nd, 2009| 12:03 pm | Posted by hlee
Thanks to a Korean solar physicist[] I was able to gather the following websites and some relevant information on Space Weather Forecast in action, not limited to literature nor toy data.
Continue reading ‘More on Space Weather’ »
Tags:
automatic,
CME,
computer vision,
data mining,
feature detection,
filament,
image processing,
machine learning,
manifold,
space weather,
statistical learning,
sunspot,
SVM Category:
Algorithms,
arXiv,
Cross-Cultural,
Data Processing,
Imaging,
Jargon |
Comment
May 21st, 2009| 05:55 pm | Posted by hlee
Among billion objects in our Galaxy, outside the Earth, our Sun drags most attention from astronomers. These astronomers go by solar physicists, who enjoy the most abundant data including 400 year long sunspot counts. Their joy is not only originated from the fascinating, active, and unpredictable characteristics of the Sun but also attributed to its influence on our daily lives. Related to the latter, sometimes studying the conditions on the Sun is called space weather forecast. Continue reading ‘space weather’ »
Tags:
classifier,
forecast,
logistic regression,
machine learning,
predictor,
response,
space weather,
Sun,
sunspot,
SVM,
test data,
training data,
weather Category:
arXiv,
Astro,
Cross-Cultural,
Data Processing,
Imaging,
Jargon,
Stars,
Stat |
Comment
Apr 27th, 2008| 11:29 am | Posted by hlee
The last paper in the list discusses MCMC for time series analysis, applied to sunspot data. There are six additional papers about statistics and data analysis from the week. Continue reading ‘[ArXiv] 4th week, Apr. 2008’ »
Tags:
clusters,
CMB,
GALEX,
gravitaional waves,
lensing,
LF,
LMC,
machine learning,
maximum likelihood,
priors,
probability,
SDSS,
stellar populations,
sunspot,
time series Category:
arXiv,
MCMC |
Comment
Apr 20th, 2008| 09:05 pm | Posted by hlee
The dichotomy of outliers; detecting outliers to be discarded or to be investigated; statistics that is robust enough not to be influenced by outliers or sensitive enough to alert the anomaly in the data distribution. Although not related, one paper about outliers made me to dwell on what outliers are. This week topics are diverse. Continue reading ‘[ArXiv] 3rd week, Apr. 2008’ »
Tags:
background,
bootstrap,
calibration errors,
Cash statistics,
clusters,
CMB,
corona,
edge detection,
FFT,
gravitational lens,
maximum likelihood,
multiscale,
neural network,
outlier,
SDSS,
sunspot,
systematic errors,
topology,
WMAP,
XMM-Newton Category:
arXiv,
High-Energy,
MCMC |
Comment
Nov 24th, 2007| 09:26 am | Posted by hlee
A piece of thought during my stay in Korea: As not many statisticians are interested in modern astronomy while they look for data driven problems, not many astronomers are learning up to date statistics while they borrow statistics in their data analysis. The frequency is quite low in astronomers citing statistical journals as little as statisticians introducing astronomical data driven problems. I wonder how other fields lowered such barriers decades ago.
No matter what, there are preprints from this week that may help to shrink the chasm. Continue reading ‘[ArXiv] 4th week, Nov. 2007’ »