Statistical Challenges in Modern Astronomy II

1. Time Series Analysis

   1. Nonparametric Methods for Time Series and Dynamical Systems

      • D. Guégan

      Pages 303-320

   2. Quantifying Rapid Variability in Accreting Compact Objects

      • M. van der Klis

      Pages 321-331

   3. Wavelet and Other Multi-resolution Methods for Time Series Analysis

      • Jeffrey D. Scargle

      Pages 333-347

2. Summaries

   1. Front Matter

      Pages 349-349

      PDF

   2. An Overview of “SCMA II”

      • P. J. Bickel

      Pages 351-364

   3. Late-Night Thoughts of a Classical Astronomer

      • Virginia Trimble

      Pages 365-385

3. Contributed Papers

   1. Front Matter

      Pages 387-387

      PDF

   2. Algorithms for the Detection of Monochromatic and Stochastic Gravitational Waves

      • Pia Astone

      Pages 389-390

   3. Statistical Tests for Changing Periods in Sparsely Sampled Data

      • Paul Hertz

      Pages 391-392

   4. Analyzing X-ray Variability by Linear State Space Models

      • Michael König, Jens Timmer

      Pages 393-394

   5. The Time Interferometer: Spectral Analysis of the Gapped Time Series from the Stand Point of Interferometry

      • V. V. Vityazev

      Pages 395-396

   6. Structures in Random Fields

      • Juan E. Betancort-Rijo

      Pages 397-399

   7. The New γ-CFAR Detector For Astronomical Image Processing

      • A. D. Nair, Jose C. Principe, Munchurl Kim

      Pages 401-402

   8. Bayesian Image Reconstruction with Noise Suppression

      • Jorge Núñez, Jorge Llacer

      Pages 403-404

   9. Astronomical Images Restoration by the Multiscale Maximum Entropy Method

      • Jean-Luc Starck, Eric Pantin

      Pages 405-406

   10. Nested Test for Point Sources

       • James Theiler, Jeff Bloch

       Pages 407-408

   11. Segmenting Chromospheric Images with Markov Random Fields

       • Michael J. Turmon, Judit M. Pap

       Pages 409-411

   12. Analysis of Hipparcos Data in the Orthonormal Wavelet Representation

       • E. Chereul, M. Crézé, O. Bienaymé

       Pages 413-415

   13. Statistical Properties of Wavelet Transforms Applied to X-Ray Source Detection

       • F. Damiani, A. Maggio, G. Micela, S. Sciortino

       Pages 417-418

   14. Wavelet Based X-Ray Spatial Analysis: Statistical Issues

       • V. Kashyap, P. Freeman

       Pages 419-420

Modern astronomical research faces a vast range of statistical issues which have spawned a revival in methodological activity among astronomers. The Statistical Challenges in Modern Astronomy II conference, held in June 1996 at the Pennsylvania State University five years after the first conference, brought astronomers and statisticians together to discuss methodological issues of common interest. Time series analysis, image analysis, Bayesian methods, Poisson processes, nonlinear regression, maximum likelihood, multivariate classification, and wavelet and multiscale analyses were important themes. Astronomers frequently encounter troublesome situations such as heteroscedastic weighting of data, unevenly spaced time series, and selection effects leading to censoring and truncation. Many problems were introduced at the conference in the context of large-scale astronomical projects inlcuding LIGO, AXAF, XTE, Hipparcos, and digitized sky surveys.This volume will be of interest to researchers and advanced students in both fields-astronomers who seek exposure to recent developments in statistics, and statisticians interested in confronting new problems. It is edited by two faculty members of the Pennsylvania State University who have a long-standing cross-disciplinary collaboration and jointly authored the recent introductory monograph "Astrostatics." G.J. Babu is Professor of Statistics, Fellow of the Institute of Mathematical Statistics, and Associate Editor of the Journal of Statistical Planning & Inference and the Journal of Nonparametric Statistics. Eric D. Feigelson is Professor of Astronomoy and Astrophysics.

• Censoring
• Maximum entropy method
• Measure
• Orbit
• Parametric statistics
• Redshift
• Time series
• astronomy
• astrophysics
• data analysis
• entropy
• image processing
• linear regression
• mathematical statistics
• statistical software

• Department of Statistics, Pennsylvania State University, University Park, USA

  G. Jogesh Babu

• Department of Astronomy and Astrophysics, Pennsylvania State University, University Park, USA

  Eric D. Feigelson

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