24 citations · 43 across the 6 of their papers we have counts for
6 papers
Identification of high-energy astrophysical point sources via hierarchical Bayesian nonparametric clustering
Andrea Sottosanti, Mauro Bernardi, Alessandra R. Brazzale +4
The light we receive from distant astrophysical objects carries information about their origins and the physical mechanisms that power them. The study of these signals, however, is…
Bayesian Hierarchical Modelling of Initial-Final Mass Relations Across Star Clusters
Shijing Si, Ted von Hippel, Elliot Robinson +3
The initial-final mass relation (IFMR) of white dwarfs (WDs) plays an important role in stellar evolution. To derive precise estimates of IFMRs and explore how they may vary among…
Multidimensional Data Driven Classification of Emission-line Galaxies
Vasileios Stampoulis, David A. van Dyk, Vinay L. Kashyap +1
We propose a new soft clustering scheme for classifying galaxies in different activity classes using simultaneously 4 emission-line ratios; log([NII ]/Ha), log([SII]/Ha), log([OI]/…
The Power of Principled Bayesian Methods in the Study of Stellar Evolution
Ted von Hippel, David A. van Dyk, David C. Stenning +5
It takes years of effort employing the best telescopes and instruments to obtain high-quality stellar photometry, astrometry, and spectroscopy. Stellar evolution models contain the…
A Corrected and More Efficient Suite of MCMC Samplers for the Multinomal Probit Model
Xiyun Jiao, David A. van Dyk
The multinomial probit (MNP) model is a useful tool for describing discrete-choice data and there are a variety of methods for fitting the model. Among them, the algorithms provide…
Bayesian Spectral Analysis of Metal Abandance Deficient Stars
Epaminondas Sourlas, David van Dyk, Vinay Kashyap +2
Metallicity can be measured by analyzing the spectra in the X-ray region and comparing the flux in spectral lines to the flux in the underlying Bremsstrahlung continuum. In this pa…