Statistical challenges in modern astronomy V
 Responsibility
 Eric D. Feigelson, G. Jogesh Babu, editors.
 Imprint
 New York : Springer, c2013.
 Physical description
 xxiii, 559 p. : ill. (some col.) ; 24 cm.
 Series
 Lecture notes in statistics (SpringerVerlag) 209.
 Lecture notes in statistics (SpringerVerlag). Proceedings.
Access
Available online
 dx.doi.org SpringerLink
Science Library (Li and Ma)
Stacks
Call number  Status 

QB149 .S7442 2013  Unknown 
More options
Creators/Contributors
 Contributor
 Feigelson, Eric D.
 Babu, Gutti Jogesh, 1949
Contents/Summary
 Bibliography
 Includes bibliographical references and index.
 Contents

 Part 1. Statistics in Cosmology
 LikelihoodFree Inference in Cosmology: Potential for the Estimation of Luminosity Functions / Chad M. Schafer and Peter E. Freeman
 Commentary: LikelihoodFree Inference in Cosmology: Potential for the Estimation of Luminosity Functions / Martin A. Hendry
 Robust, DataDriven Inference in Nonlinear Cosmostatistics / Benjamin D. Wandelt, Jens Jasche and Guilhem Lavaux
 SimulationAided Inference in Cosmology / David Higdon, Earl Lawrence, Katrin Heitmann and Salman Habib
 Commentary: SimulationAided 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 SolarLike Oscillators / Othman Benomar
 Semiparametric Robust Event Detection for Massive TimeDomain 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 HighEnergy 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 / JeanLuc Starck
 Exploiting Nonlinear Structure in Astronomical Data for Improved Statistical Inference / Ann B. Lee and Peter E. Freeman
 Commentary: Exploiting Nonlinear Structure in Astronomical Data for Improved Statistical Inference / Didier FraixBurnet
 Surprise Detection in Multivariate Astronomical Data / Kirk D. Borne and Arun Vedachalam
 On Statistical CrossIdentification in Astronomy / Tamás Budavári
 Commentary: On Statistical CrossIdentification 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 MassiveData Machine Learning in Astronomy / Nicholas M. Ball
 A Bayesian Approach to Gravitational Lens Model Selection / Irene Balmès
 Identification of Outliers Through Clustering and Semisupervised 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 ChangePoint Analysis / SeoWon Chang, YongIk Byun and Jaegyoon Hahm
 Evolution as a Confounding Parameter in Scaling Relations for Galaxies / Didier FraixBurnet
 Detecting Galaxy Mergers at High Redshift / P. E. Freeman, R. Izbicki, Ann B. Lee, C. Schafer and D. Slepčev, et al.
 Multicomponent Analysis of a Sample of Bright XRay Selected Active Galactic Nuclei / Dirk Grupe
 Applying the BackgroundSource Separation Algorithm to Chandra Deep Field South Data / F. Guglielmetti, H. Böhringer, R. Fischer, P. Rosati and P. Tozzi
 NonGaussian Physics of the Cosmological Genus Statistic / J. Berian James
 Modeling Undetectable Flares / Vinay Kashyap, Steve Saar, Jeremy Drake, Kathy Reeves and Jennifer PossonBrown, et al.
 An FStatistic Based Multidetector 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, FrançoisXavier Dupé and JeanLuc Starck
 Bayesian Predictions from the Semianalytic 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 MartínezGómez
 Identifying Highz GammaRay 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, JeanLuc 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 GammaRay Burst Classes Based on [gamma] and Xray Observations / Dorottya Szécsi, Lajos G. Balázs, Zsolt Bagoly, István Horváth and Attila Mészáros, et al.
 A QuasiGaussian 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 1315th 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 largescale astronomical projects including LIGO, AXAF, XTE, Hipparcos, and digitized sky surveys.
(source: Nielsen Book Data)9781461435198 20160609
Subjects
Bibliographic information
 Publication date
 2013
 Series
 Lecture notes in statistics, 09300325 ; 209. Proceedings
 Note
 "These are the proceedings of the fifth SCMA conference held in June 2011"P. v.
 ISBN
 9781461435198 (pbk. : acidfree paper)
 1461435196 (pbk. : acidfree paper)
 9781461435204 (eBook)
 146143520X (eBook)