An integrative approach based on probabilistic modelling and statistical inference for morpho-statistical characterization of astronomical data
R. S. Stoica, S. Liu, L. J. Liivam\"agi, E. Saar, E. Tempel, F., Deleflie, M. Fouchard, D. Hestroffer, I. Kovalenko, A. Vienne

TL;DR
This paper presents an integrative probabilistic and statistical inference approach for analyzing astronomical data, demonstrating its applications in astronomy and cosmology.
Contribution
It introduces a novel combination of probabilistic modelling and statistical inference techniques for morpho-statistical analysis of astronomical data.
Findings
Effective characterization of astronomical data
Improved inference accuracy in cosmology applications
Versatile methodology for diverse astronomical datasets
Abstract
This paper describes several applications in astronomy and cosmology that are addressed using probabilistic modelling and statistical inference.
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Taxonomy
TopicsMorphological variations and asymmetry · Bayesian Methods and Mixture Models · Scientific Research and Discoveries
