59 citations · 67 across the 6 of their papers we have counts for
6 papers
Higher-order asymptotic corrections and their application to the Gamma Variance Model
Enzo Canonero, Alessandra Rosalba Brazzale, Glen Cowan
We present improved methods for calculating confidence intervals and -values in situations where standard asymptotic approaches fail due to small sample sizes. We apply these te…
Locating γ-Ray Sources on the Celestial Sphere via Modal Clustering
Anna Montin, Alessandra R. Brazzale, Giovanna Menardi
Searching for as yet undetected gamma-ray sources is a major target of the Fermi LAT Collaboration. We present an algorithm capable of identifying such type of sources by non-param…
Likelihood Asymptotics in Nonregular Settings: A Review with Emphasis on the Likelihood Ratio
Alessandra R. Brazzale, Valentina Mameli
This paper reviews the most common situations where one or more regularity conditions which underlie classical likelihood-based parametric inference fail. We identify three main cl…
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…
Margin-free classification and new class detection using finite Dirichlet mixtures
Prince John, Alessandra R. Brazzale, Maria Süveges
We present a margin-free finite mixture model which allows us to simultaneously classify objects into known classes and to identify possible new object types using a set of continu…
Accurate Parametric Inference for Small Samples
Alessandra R. Brazzale, Anthony C. Davison
We outline how modern likelihood theory, which provides essentially exact inferences in a variety of parametric statistical problems, may routinely be applied in practice. Although…