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Tutorials and Schools
- R
tutorials, 2006
Exercises in R, an
open-source
environment for statistical computing and graphics
MSMA datasets
Astronomical
datasets for statistical analysis
- Univariate datasets
- Distance to the LMC (N=1,
repeated measurements, measurement errors)
- Asteroid densities
(N=28,
density estimation, measurement errors)
- Globular
cluster luminosity function (N~81+360, normal model,
truncation, 2-sample test)
- Planetary
nebula luminosity function (N~238+45+101+59, k-sample test,
nonparametrics, semi-parametrics, truncation)
- Censored datasets
- Planet host stars (N=39 and 29;
survival analysis, Kaplan-Meier, 2-sample, linear regression, censoring)
- Multivariate datasets
- Shapley
galaxy redshift catalog
(N=4,315, p=5, spatial point process, hierarchical clustering,
wavelets, measurement errors)
- Hipparcos
star catalog (N=2,719, p=8, multivariate clustering, mixture
models, regression, measurement errors, outliers)
- COMBO-17
galaxy photometric catalog
(N=3,462, p=65, multivariate analysis, regression, clustering,
truncation)
- SDSS
quasar catalog (N=46,420, p=23, multivariate analysis, regression,
clustering, measurement errors, truncation, )
- New SDSS
quasar catalog (N=77,429, p=18, multivariate analysis, regression,
clustering, measurement errors, truncation, )
- Signal processing (spectra
and time series)
- Chandra
Orion star flares (N=209, 678 and 14,258, time series analysis,
inhomogeneous Poisson process, Bayesian modeling, wavelets)
- Extrasolar planet
radial velocities (N=17, 52, 138, periodicity detection,
nonlinear regression, parameter estimation, measurement error, Bayesian
modeling)
- Galaxy
spectra (feature characterization, parameter estimation)
- Quasar
absorption spectra (feature characterization, parameter estimation,
normal mixture model)
Questions about these datasets
may be directed to Eric
Feigelson
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