The AstroStat Slog » Solar Oscillation 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] 2nd week, Apr. 2008 http://hea-www.harvard.edu/AstroStat/slog/2008/arxiv-2nd-week-apr-2008/ http://hea-www.harvard.edu/AstroStat/slog/2008/arxiv-2nd-week-apr-2008/#comments Fri, 11 Apr 2008 06:21:41 +0000 hlee http://hea-www.harvard.edu/AstroStat/slog/?p=267 Markov chain Monte Carlo became the most frequent and stable statistical application in astronomy. It will be useful collecting tutorials from both professions.

  • [astro-ph:0804.0620] Q. Wu et al.
    Late transient acceleration of the universe in string theory on $S^{1}/Z_{2}$ (MCMC)

  • [astro-ph:0804.0692] Corless, Dobke & King
    The Hubble constant from galaxy lenses: impacts of triaxiality and model degeneracies (MCMC, Bayesian Modeling)

  • [astro-ph:0804.0788] Zamfir, Sulentic, & Marziani
    New Insights on the QSO Radio-Loud/Radio-Quiet Dichotomy: SDSS Spectra in the Context of the 4D Eigenvector1 Parameter Space

  • [astro-ph:0804.0965] Bloom, Butler, & Perley
    Gamma-ray Bursts, Classified Physically (instead of statistics, it relies on physics to grow a (classification) tree)

  • [astro-ph:0804.1089] G.K.Skinner
    The sensitivity of coded mask telescopes

  • [astro-ph:0804.1197] Bagla, Prasad and Khandai
    Effects of the size of cosmological N-Body simulations on physical quantities – III: Skewness

  • [astro-ph:0804.1447] Marsh, Ireland, & Kucera
    Bayesian Analysis of Solar Oscillations

  • [astro-ph:0804.1532] C. López-Sanjuan, C. E. García-Dabó, M. Balcells
    A maximum likelihood method for bidimensional experimental distributions, and its application to the galaxy merger fraction

  • [astro-ph:0804.1536] V.J.Martinez (One of my favorite astronomers who brings in mathematics and statistics)
    The Large Scale Structure in the Universe: From Power-Laws to Acoustic Peaks
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