6 citations · 7 across the 8 of their papers we have counts for
9 papers
Probabilistic Graphical Models in Astronomy
Abigail Sheerin, Giuseppe Vinci
The field of astronomy is experiencing a data explosion driven by significant advances in observational instrumentation, and classical methods often fall short of addressing the co…
Neuronal functional connectivity graph estimation with the R package neurofuncon
Lauren Miako Beede, Giuseppe Vinci
Researchers continue exploring neurons' intricate patterns of activity in the cerebral visual cortex in response to visual stimuli. The way neurons communicate and optimize their i…
Covariance matrix completion via auxiliary information
Joseph Steneman, Giuseppe Vinci
Covariance matrix estimation is an important task in the analysis of multivariate data in disparate scientific fields. However, modern scientific data are often incomplete due to f…
Linked factor analysis
Giuseppe Vinci
Factor models are widely applied to the analysis of multivariate data across disparate fields of research. However, modern scientific data are often incomplete, and estimating a fa…
Forensic Science and How Statistics Can Help It: Evidence, Hypothesis Testing, and Graphical Models
Xiangyu Xu, Giuseppe Vinci
The persistent issue of wrongful convictions in the United States emphasizes the need for scrutiny and improvement of the criminal justice system. While statistical methods for the…
Spiral-Elliptical automated galaxy morphology classification from telescope images
Matthew J. Baumstark, Giuseppe Vinci
The classification of galaxy morphologies is an important step in the investigation of theories of hierarchical structure formation. While human expert visual classification remain…
Graph quilting: graphical model selection from partially observed covariances
Giuseppe Vinci, Gautam Dasarathy, Genevera I. Allen
Graphical model selection is a seemingly impossible task when many pairs of variables are never jointly observed; this requires inference of conditional dependencies with no observ…
A Sequential Scheme for Large Scale Bayesian Multiple Testing
Bin Liu, Giuseppe Vinci, Adam C. Snyder +1
The problem of large scale multiple testing arises in many contexts, including testing for pairwise interaction among large numbers of neurons. With advances in technologies, it ha…
Estimating the distribution of Galaxy Morphologies on a continuous space
Giuseppe Vinci, Peter Freeman, Jeffrey Newman +2
The incredible variety of galaxy shapes cannot be summarized by human defined discrete classes of shapes without causing a possibly large loss of information. Dictionary learning a…