Aug 25th, 2009| 09:19 pm | Posted by hlee
Kriging is the first thing that one learns from a spatial statistics course. If an astronomer sees its definition and application, almost every astronomer will say, “Oh, I know this! It is like the 2pt correlation function!!” At least this was my first impression when I first met kriging.
There are three distinctive subjects in spatial statistics: geostatistics, lattice data analysis, and spatial point pattern analysis. Because of the resemblance between the spatial distribution of observations in coordinates and the notion of spatially random points, spatial statistics in astronomy has leaned more toward the spatial point pattern analysis than the other subjects. In other fields from immunology to forestry to geology whose data are associated spatial coordinates of underlying geometric structures or whose data were sampled from lattices, observations depend on these spatial structures and scientists enjoy various applications from geostatistics and lattice data analysis. Particularly, kriging is the fundamental notion in geostatistics whose application is found many fields. Continue reading ‘[MADS] Kriging’ »
Tags:
BLUP,
book,
books,
CMB,
Cressie,
Diggle,
geostatistics,
hierarchical model,
kriging,
MADS,
point pattern analysis,
sparse,
spatial statistics,
Stein,
WMAP Category:
arXiv,
Astro,
Imaging,
Jargon,
Methods,
Stat |
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
Mar 7th, 2008| 06:01 pm | Posted by hlee
Irrelevant to astrostatistics but interesting for baseball lovers.
[stat.AP:0802.4317] Jensen, Shirley, & Wyner
Bayesball: A Bayesian Hierarchical Model for Evaluating Fielding in Major League Baseball
With the 5th year WMAP data release, there were many WMAP related papers and among them, most statistical papers are listed. Continue reading ‘[ArXiv] 1st week, Mar. 2008’ »
Tags:
baseball,
cosmology,
MLE,
tessellation,
void,
WMAP,
XMM Category:
arXiv,
Bayesian,
Cross-Cultural,
Fitting,
Jargon,
MCMC |
Comment
Mar 5th, 2008| 02:13 pm | Posted by hlee
There have been strong collaborations among statisticians, mathematicians, computer scientists, and astronomers (cosmologists) under WMAP (Wilkinson Microwave Anisotropy Probe) mission. Today, the 5th year data was released (The news is found here). For more, click Continue reading ‘The WMAP Five-Year Data Release’ »
Jan 11th, 2008| 03:44 pm | Posted by hlee
It is notable that there’s an astronomy paper contains AIC, BIC, and Bayesian evidence in the title. The topic of the paper, unexceptionally, is cosmology like other astronomy papers discussed these (statistical) information criteria (I only found a couple of papers on model selection applied to astronomical data analysis without articulating CMB stuffs. Note that I exclude Bayes factor for the model selection purpose).
To find the paper or other interesting ones, click Continue reading ‘[ArXiv] 2nd week, Jan. 2007’ »
Tags:
AIC,
Bayesian evidence,
BIC,
catalog,
Classification,
CMB,
confidence interval,
consistency,
correlation,
GRB,
information criterion,
Model Selection,
SDSS,
test,
WMAP Category:
arXiv |
Comment
Dec 14th, 2007| 05:16 pm | Posted by hlee
Nov 18th, 2007| 02:50 am | Posted by hlee
Greetings from Korea. I found that the menu on the right was almost invisible from my mother’s computer. The look seems OS and browser dependent. If you find any problems of viewing the slog, please notify me. Otherwise, please find a paper or two that drag your attention.
Continue reading ‘[ArXiv] 3rd Week, Nov. 2007’ »