The AstroStat Slog » void 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, May 2008 http://hea-www.harvard.edu/AstroStat/slog/2008/arxiv-1st-week-may-2008/ http://hea-www.harvard.edu/AstroStat/slog/2008/arxiv-1st-week-may-2008/#comments Mon, 12 May 2008 02:42:54 +0000 hlee http://hea-www.harvard.edu/AstroStat/slog/?p=298 I think I have to review spatial statistics in astronomy, focusing on tessellation (void structure), point process (expanding 2 (3) point correlation function), and marked point process (spatial distribution of hardness ratios of X-ray distant sources, different types of galaxies -not only morphological differences but other marks such as absolute magnitudes and existence of particular features). When? Someday…

In addition to Bayesian methodologies, like this week’s astro-ph, studies on characterizing empirical spatial distributions of voids and galaxies frequently appear, which I believe can be enriched further with the ideas from stochastic geometry and spatial statistics. Click for what was appeared in arXiv this week.

  • [astro-ph:0805.0156]R. D’Abrusco, G. Longo, N. A. Walton
    Quasar candidates selection in the Virtual Observatory era

  • [astro-ph:0805.0201] S. Vegetti& L.V.E. Koopmans
    Bayesian Strong Gravitational-Lens Modelling on Adaptive Grids: Objective Detection of Mass Substructure in Galaxies (many like to see this paper: nest sampling implemented, discusses penalty function and tessllation)

  • [astro-ph:0805.0238] J. A. Carter et al.
    Analytic Approximations for Transit Light Curve Observables, Uncertainties, and Covariances

  • [astro-ph:0805.0269] S.M.Leach et al.
    Component separation methods for the Planck mission

  • [astro-ph:0805.0276] M. Grossi et al.
    The mass density field in simulated non-Gaussian scenarios

  • [astro-ph:0805.0790] Ceccarelli, Padilla, & Lambas
    Large-scale modulation of star formation in void walls
    [astro-ph:0805.0797] Ceccarelli et al.
    Voids in the 2dFGRS and LCDM simulations: spatial and dynamical properties

  • [astro-ph:0805.0875] S. Basilakos and L. Perivolaropoulos
    Testing GRBs as Standard Candles

  • [astro-ph:0805.0968] A. A. Stanislavsky et al.
    Statistical Modeling of Solar Flare Activity from Empirical Time Series of Soft X-ray Solar Emission
]]> http://hea-www.harvard.edu/AstroStat/slog/2008/arxiv-1st-week-may-2008/feed/ 1 [ArXiv] 1st week, Mar. 2008 http://hea-www.harvard.edu/AstroStat/slog/2008/arxiv-1st-week-mar-2008/ http://hea-www.harvard.edu/AstroStat/slog/2008/arxiv-1st-week-mar-2008/#comments Fri, 07 Mar 2008 23:01:56 +0000 hlee http://hea-www.harvard.edu/AstroStat/slog/2008/arxiv-1st-week-mar-2008/ 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. WMAP specific/related:

  • [astro-ph:0803.0586] J. Dunkley et. al.
      Five-Year Wilkinson Microwave Anisotropy Probe (WMAP) Observations: Likelihoods and Parameters from the WMAP data (likelihoods)

  • [astro-ph:0803.0715] B. Gold et. al.
      Five-Year Wilkinson Microwave Anisotropy Probe (WMAP) Observations: Galactic Foreground Emission (MCMC)

  • [astro-ph:0803.0889] Ichikawa, Sekiguchi, & Takahashi
      Probing the Effective Number of Neutrino Species with Cosmic Microwave Background

And others:

  • [astro-ph:0802.4464] M. SahlĂ©n et.al.
      The XMM Cluster Survey: Forecasting cosmological and cluster scaling-relation parameter constraints

  • [astro-ph:0803.0918] J.M. Colberg et.al.
      The Aspen–Amsterdam Void Finder Comparison Project (TFE, tessellation field estimator)

  • [astro-ph:0803.0885] J.Ballot et.al.
      On deriving p-mode parameters for inclined solar-like stars (MLE, maximum likelihood estimator)

By the way, I noticed [astro-ph:0802.4464] used Monte Carlo Markov Chain, whereas [astro-ph:0803.0715] used Markov chain Monte Carlo. Do they mean different? Or the former is a typo?

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