Titlebook: Statistical Challenges in Modern Astronomy V; Eric D. Feigelson,G. Jogesh Babu Conference proceedings 2012 Springer Science+Business Media

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书目名称Statistical Challenges in Modern Astronomy V读者反馈学科排名

诱惑

Conference proceedings 2012ar 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.

nettle

货物

Parameter Estimation and Model Selection in Extragalactic Astronomyxy evolution using . models—using the UMass Bayesian Inference Engine (BIE), a parallel-optimized software package for parameter inference and model selection. The BIE is designed as a collaborative platform for Bayesian methodology for astronomical problems.

ADJ

Semi-parametric Robust Event Detection for Massive Time-Domain Databases other fields, highlighting the unique challenges posed by astronomical surveys. Finally, we present results from the application of this method to 87.2 million EROS-2 sources, where we have obtained a greater than 100-fold reduction in candidates for certain types of phenomena while creating high-quality features for subsequent analyses.

flaunt

Bayesian Analysis of Reverberation Mapping Data coefficient and providing information about the physical configuration of the BLR. In this contribution I will outline the method and discuss how it differs from traditional reverberation mapping analysis.

debouch

Commentary: Likelihood-Free Inference in Cosmology: Potential for the Estimation of Luminosity Funct arise in the analysis of astronomical surveys, thus illustrating ways in which the construction of an explicit likelihood function is rendered complicated in this field. These various examples therefore provide further motivation for the potential usefulness of the likelihood-free inference approach which Schafer has proposed.

enumaerate

枕垫

ALTER