167 citations · 365 across the 12 of their papers we have counts for
12 papers
hermiter: R package for Sequential Nonparametric Estimation
Michael Stephanou, Melvin Varughese
This article introduces the R package hermiter which facilitates estimation of univariate and bivariate probability density functions and cumulative distribution functions along wi…
Sequential estimation of Spearman rank correlation using Hermite series estimators
Michael Stephanou, Melvin Varughese
In this article we describe a new Hermite series based sequential estimator for the Spearman rank correlation coefficient and provide algorithms applicable in both the stationary a…
Sequential Quantiles via Hermite Series Density Estimation
Michael Stephanou, Melvin Varughese, Iain Macdonald
Sequential quantile estimation refers to incorporating observations into quantile estimates in an incremental fashion thus furnishing an online estimate of one or more quantiles at…
Nonparametric Transient Classification using Adaptive Wavelets
Melvin M. Varughese, Rainer von Sachs, Michael Stephanou +1
Classifying transients based on multi band light curves is a challenging but crucial problem in the era of GAIA and LSST since the sheer volume of transients will make spectroscopi…
Towards the Future of Supernova Cosmology
Michelle Lochner, Bruce A. Bassett, Melvin Varughese +4
For future surveys, spectroscopic follow-up for all supernovae will be extremely difficult. However, one can use light curve fitters, to obtain the probability that an object is a…
BEAMS: separating the wheat from the chaff in supernova analysis
Martin Kunz, Renée Hlozek, Bruce A. Bassett +3
We introduce Bayesian Estimation Applied to Multiple Species (BEAMS), an algorithm designed to deal with parameter estimation when using contaminated data. We present the algorithm…
Extending BEAMS to incorporate correlated systematic uncertainties
Michelle Lochner, Bruce A. Bassett, Melvin Varughese +4
New supernova surveys such as the Dark Energy Survey, Pan-STARRS and the LSST will produce an unprecedented number of photometric supernova candidates, most with no spectroscopic d…
Photometric Supernova Cosmology with BEAMS and SDSS-II
Renée Hlozek, Martin Kunz, Bruce Bassett +16
Supernova cosmology without spectroscopic confirmation is an exciting new frontier which we address here with the Bayesian Estimation Applied to Multiple Species (BEAMS) algorithm…
Parameter Estimation with BEAMS in the presence of biases and correlations
James Newling, Bruce. A. Bassett, Renée Hlozek +3
The original formulation of BEAMS - Bayesian Estimation Applied to Multiple Species - showed how to use a dataset contaminated by points of multiple underlying types to perform unb…
Statistical Classification Techniques for Photometric Supernova Typing
James Newling, Melvin Varughese, Bruce A. Bassett +8
Future photometric supernova surveys will produce vastly more candidates than can be followed up spectroscopically, highlighting the need for effective classification methods based…
Results from the Supernova Photometric Classification Challenge
Richard Kessler, Bruce Bassett, Pavel Belov +24
We report results from the Supernova Photometric Classification Challenge (SNPCC), a publicly released mix of simulated supernovae (SNe), with types (Ia, Ibc, and II) selected in p…
Parameter Estimation for Multivariate Diffusion Systems
Melvin M. Varughese
Diffusion processes are widely used for modelling real-world phenomena. Except for select cases however, analytical expressions do not exist for a diffusion process' transitional p…