Statistical challenges in modern astronomy V
- Eric D. Feigelson, G. Jogesh Babu, editors.
- New York : Springer, c2013.
- Physical description
- xxiii, 559 p. : ill. (some col.) ; 24 cm.
Lecture notes in statistics (Springer-Verlag) 209.
Lecture notes in statistics (Springer-Verlag). Proceedings.
Math & Statistics Library
QB149 .S7442 2013
- Unknown QB149 .S7442 2013
- Includes bibliographical references and index.
- Part 1. Statistics in Cosmology
- Likelihood-Free Inference in Cosmology: Potential for the Estimation of Luminosity Functions / Chad M. Schafer and Peter E. Freeman
- Commentary: Likelihood-Free Inference in Cosmology: Potential for the Estimation of Luminosity Functions / Martin A. Hendry
- Robust, Data-Driven Inference in Non-linear Cosmostatistics / Benjamin D. Wandelt, Jens Jasche and Guilhem Lavaux
- Simulation-Aided Inference in Cosmology / David Higdon, Earl Lawrence, Katrin Heitmann and Salman Habib
- Commentary: Simulation-Aided Inference in Cosmology / Carlo Graziani
- The Matter Spectral Density from Lensed Cosmic Microwave Background Observations / Ethan Anderes and Alexander van Engelen
- Commentary: 'The Matter Spectral Density from Lensed Cosmic Microwave Background Observations' / Alan Heavens
- Needlets Estimation in Cosmology and Astrophysics / Domenico Marinucci. Part 2. Bayesian Analysis Across Astronomy
- Parameter Estimation and Model Selection in Extragalactic Astronomy / Martin D. Weinberg
- Commentary: Bayesian Model Selection and Parameter Estimation / Philip C. Gregory
- Cosmological Bayesian Model Selection: Recent Advances and Open Challenges / Roberto Trotta
- Commentary: Cosmological Bayesian Model Selection / David A. van Dyk
- Measurement Error Models in Astronomy / Brandon C. Kelly
- Commentary: "Measurement Error Models in Astronomy" by Brandon C. Kelly / David Ruppert
- Asteroseismology: Bayesian Analysis of Solar-Like Oscillators / Othman Benomar
- Semi-parametric Robust Event Detection for Massive Time-Domain Databases / Alexander W. Blocker and Pavlos Protopapas
- Bayesian Analysis of Reverberation Mapping Data / Brendon J. Brewer
- Bayesian Mixture Models for Poisson Astronomical Images / Fabrizia Guglielmetti, Rainer Fischer and Volker Dose
- Systematic Errors in High-Energy Astrophysics / Vinay Kashyap
- Hierarchical Bayesian Models for Type Ia Supernova Inference / Kaisey S. Mandel
- Bayesian Flux Reconstruction in One and Two Bands / Eric R. Switzer, Thomas M. Crawford and Christian L. Reichardt
- Commentary: Bayesian Analysis Across Astronomy / Thomas J. Loredo.
- Part 3. Data Mining and Astroinformatics
- Sparse Astronomical Data Analysis / Jean-Luc Starck
- Exploiting Non-linear Structure in Astronomical Data for Improved Statistical Inference / Ann B. Lee and Peter E. Freeman
- Commentary: Exploiting Non-linear Structure in Astronomical Data for Improved Statistical Inference / Didier Fraix-Burnet
- Surprise Detection in Multivariate Astronomical Data / Kirk D. Borne and Arun Vedachalam
- On Statistical Cross-Identification in Astronomy / Tamás Budavári
- Commentary: On Statistical Cross-Identification in Astronomy / Thomas J. Loredo
- Data Compression Methods in Astrophysics / Raul Jimenez
- Commentary: Data Compression Methods in Astrophysics / Ann B. Lee. Part 4. Image and Time Series Analysis
- Morphological Image Analysis and Sunspot Classification / David Stenning, Vinay Kashyap, Thomas C. M. Lee, David A. van Dyk and C. Alex Young
- Commentary: Morphological Image Analysis and Sunspot Classification / Ricardo Vilalta
- Learning About the Sky Through Simulations / Andrew Connolly, John Peterson, Garret Jernigan, D. Bard and the LSST Image Simulation Group
- Commentary: Learning About the Sky Through Simulations / Michael J. Way
- Statistical Analyses of Data Cubes / Erik Rosolowsky
- Astronomical Transient Detection Controlling the False Discovery Rate / Nicolle Clements, Sanat K. Sarkar and Wenge Guo
- Commentary: Astronomical Transient Detection Controlling the False Discovery Rate / Peter E. Freeman
- Slepian Wavelet Variances for Regularly and Irregularly Sampled Time Series / Debashis Mondal and Donald B. Percival
- Commentary: Slepian Wavelet Variances for Regularly and Irregularly Samples Time Series / Jeffrey D. Scargle.
- Part 5. The Future of Astrostatistics
- Astrostatistics in the International Arena / Joseph M. Hilbe
- The R Statistical Computing Environment / Luke Tierney
- Panel Discussion: The Future of Astrostatistics / G. Jogesh Babu. Part 6. Contributed Papers
- Bayesian Estimation of log N
- log S / Paul D. Baines, Irina S. Udaltsova, Andreas Zezas and Vinay L. Kashyap
- Techniques for Massive-Data Machine Learning in Astronomy / Nicholas M. Ball
- A Bayesian Approach to Gravitational Lens Model Selection / Irene Balmès
- Identification of Outliers Through Clustering and Semi-supervised Learning for All Sky Surveys / Sharmodeep Bhattacharyya, Joseph W. Richards, John Rice, Dan L. Starr and Nathaniel R. Butler, et al.
- Estimation of Moments on the Sphere by Means of Fast Convolution / P. Bielewicz, B. D. Wandelt and A. J. Banday
- Variability Detection by Change-Point Analysis / Seo-Won Chang, Yong-Ik Byun and Jaegyoon Hahm
- Evolution as a Confounding Parameter in Scaling Relations for Galaxies / Didier Fraix-Burnet
- Detecting Galaxy Mergers at High Redshift / P. E. Freeman, R. Izbicki, Ann B. Lee, C. Schafer and D. Slepčev, et al.
- Multi-component Analysis of a Sample of Bright X-Ray Selected Active Galactic Nuclei / Dirk Grupe
- Applying the Background-Source Separation Algorithm to Chandra Deep Field South Data / F. Guglielmetti, H. Böhringer, R. Fischer, P. Rosati and P. Tozzi
- Non-Gaussian Physics of the Cosmological Genus Statistic / J. Berian James
- Modeling Undetectable Flares / Vinay Kashyap, Steve Saar, Jeremy Drake, Kathy Reeves and Jennifer Posson-Brown, et al.
- An F-Statistic Based Multi-detector Veto for Detector Artifacts in Gravitational Wave Data / D. Keitel, R. Prix, M. A. Papa and M. Siddiqi
- Constrained Probability Distributions of Correlation Functions / D. Keitel and P. Schneider
- Improving Weak Lensing Reconstructions in 3D Using Sparsity / Adrienne Leonard, François-Xavier Dupé and Jean-Luc Starck
- Bayesian Predictions from the Semi-analytic Models of Galaxy Formation / Yu Lu, H. J. Mo, Martin D. Weinberg and Neal Katz
- Statistical Issues in Galaxy Cluster Cosmology / Adam Mantz, Steven W. Allen and David Rapetti
- Statistical Analyses to Understand the Relationship Between the Properties of Exoplanets and Their Host Stars / Elizabeth Martínez-Gómez
- Identifying High-z Gamma-Ray Burst Candidates Using Random Forest Classification / Adam N. Morgan, James Long, Tamara Broderick, Joseph W. Richards and Joshua S. Bloom
- Fitting Distributions of Points Using [tau]2 / Tim Naylor
- Theoretical Power Spectrum Estimation from Cosmic Microwave Background Data / Paniez Paykari, Jean-Luc Starck and M. Jalal Fadili
- Guilt by Association: Finding Cosmic Ray Sources Using Hierarchical Bayesian Clustering / Kunlaya Soiaporn, David Chernoff, Thomas Loredo, David Ruppert and Ira Wasserman
- Statistical Differences Between Swift Gamma-Ray Burst Classes Based on [gamma]- and X-ray Observations / Dorottya Szécsi, Lajos G. Balázs, Zsolt Bagoly, István Horváth and Attila Mészáros, et al.
- A Quasi-Gaussian Approximation for the Probability Distribution of Correlation Functions / Philipp Wilking and Peter Schneider
- New Insights into Galaxy Structure from GALPHAT / Ilsang Yoon, Martin Weinberg and Neal Katz.
- Publisher's Summary
- This volume contains a selection of chapters based on papers to be presented at the Fifth Statistical Challenges in Modern Astronomy Symposium. The symposium will be held June 13-15th at Penn State University. 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 V" conference will bring 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 are all important themes to be covered in detail. Many problems will be introduced at the conference in the context of large-scale astronomical projects including LIGO, AXAF, XTE, Hipparcos, and digitized sky surveys.
(source: Nielsen Book Data)
- Publication date
- Lecture notes in statistics, 0930-0325 ; 209. Proceedings
- "These are the proceedings of the fifth SCMA conference held in June 2011"--P. v.
- 9781461435198 (pbk. : acid-free paper)
- 1461435196 (pbk. : acid-free paper)
- 9781461435204 (eBook)
- 146143520X (eBook)