The AstroStat Slog » power law http://hea-www.harvard.edu/AstroStat/slog Weaving together Astronomy+Statistics+Computer Science+Engineering+Intrumentation, far beyond the growing borders Fri, 09 Sep 2011 17:05:33 +0000 en-US hourly 1 http://wordpress.org/?v=3.4 [ArXiv] 1st week, Apr. 2008 http://hea-www.harvard.edu/AstroStat/slog/2008/arxiv-1st-week-apr-2008/ http://hea-www.harvard.edu/AstroStat/slog/2008/arxiv-1st-week-apr-2008/#comments Sun, 06 Apr 2008 15:10:15 +0000 hlee http://hea-www.harvard.edu/AstroStat/slog/?p=263 I’m very curious how astronomers began to use Monte Carlo Markov Chain instead of Markov chain Monte Carlo. The more it becomes popular, the more frequently Monte Carlo Markov Chain appears. Anyway, this week, I added non astrostatistical papers in the list: a tutorial, big bang, and biblical theology.

  • [astro-ph:0803.4089] R. Trotta
    Bayes in the sky: Bayesian inference and model selection in cosmology (Bayesian cosmology tutorial).

  • [astro-ph:0804.0070] W. Cui et al.
    An ideal mass assignment scheme for measuring the Power Spectrum with FFTs

  • [astro-ph:0804.0155] L. Wang et al.
    Timeline analysis and wavelet multiscale analysis of the AKARI All-Sky Survey at 90 micron

  • [astro-ph:0804.0278]L. Colombo and E. Pierpaoli
    Model independent approaches to reionization in the analysis of upcoming CMB data

  • [astro-ph:0804.0285]L. Vergani et al.
    Dark Matter – Dark Energy coupling biasing parameter estimates from CMB data

  • [astro-ph:0804.0294] A. Romeo et al.
    Discreteness Effects in Lambda Cold Dark Matter Simulations: A Wavelet-Statistical View

  • [astro-ph:0804.0373] F. Schmidt et al.
    Weak Lensing Effects on the Galaxy Three-Point Correlation Function

  • [astro-ph:0804.0382] R. U. Abbasi et al.
    Search for Correlations between HiRes Stereo Events and Active Galactic Nuclei

  • [astro-ph:0804.0543] M. Schmalzl et al.
    The Initial Mass Function of the Stellar Association NGC 602 in the Small Magellanic Cloud with Hubble Space Telescope ACS Observations

gravitational microlensing tutorial? [astro-ph:0803.4324]
Recent Developments in Gravitational Microlensing by A. Gould

paper with a very interesting title: [astro-ph:0803.3604]
Was There A Big Bang? by R. K. Soberman and M. Dubin

not astrostatistics but atypical statistical application, interesting topic, and good discussions:[stat.AP:0804.0079]
Statistical analysis of an archeological find by A. Feuerverger
Discussants are S.M. Stigler, C. Fuchs, D.L. Bentley, S.M. Bird, H. Höfling, L. Wasserman, R. Ingermanson, J. Mortera, P. Vicard, J.B. Kadane (Click names).

]]> http://hea-www.harvard.edu/AstroStat/slog/2008/arxiv-1st-week-apr-2008/feed/ 0 Everything you wanted to know about power-laws but were afraid to ask http://hea-www.harvard.edu/AstroStat/slog/2007/astroph-07061062/ http://hea-www.harvard.edu/AstroStat/slog/2007/astroph-07061062/#comments Fri, 08 Jun 2007 04:50:41 +0000 vlk http://hea-www.harvard.edu/AstroStat/slog/2007/astroph-07061062/ Clauset, Shalizi, & Newman (2007, arXiv/0706.1062) have a very detailed description of what power-law distributions are, how to recognize them, how to fit them, etc. They are also making available their matlab and R codes that they use to do the fitting and such.

Looks like a very handy reference text, though I am a bit uncertain about their use of the K-S test to check whether a dataset can be described with a power-law or not. It is probably fine; perhaps some statisticians would care to comment?

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