12 citations · 23 across the 10 of their papers we have counts for
10 papers
Unguided structure learning of DAGs for count data
Thi Kim Hue Nguyen, Monica Chiogna, Davide Risso
Mainly motivated by the problem of modelling directional dependence relationships for multivariate count data in high-dimensional settings, we present a new algorithm, called learn…
Interval estimation in three-class ROC analysis: a fairly general approach based on the empirical likelihood
Duc-Khanh To, Gianfranco Adimari, Monica Chiogna
The empirical likelihood is a powerful nonparametric tool, that emulates its parametric counterpart -- the parametric likelihood -- preserving many of its large-sample properties.…
Guided structure learning of DAGs for count data
Thi Kim Hue Nguyen, Monica Chiogna, Davide Risso +1
In this paper, we tackle structure learning of Directed Acyclic Graphs (DAGs), with the idea of exploiting available prior knowledge of the domain at hand to guide the search of th…
Structure learning for zero-inflated counts, with an application to single-cell RNA sequencing data
Thi Kim Hue Nguyen, Koen Van den Berge, Monica Chiogna +1
The problem of estimating the structure of a graph from observed data is of growing interest in the context of high-throughput genomic data, and single-cell RNA sequencing in parti…
Improving estimation of the volume under the ROC surface when data are missing not at random
Duc-Khanh To, Gianfranco Adimari, Monica Chiogna
In this paper, we propose a mean score equation-based approach to estimate the the volume under the receiving operating characteristic (ROC) surface (VUS) of a diagnostic test, und…
Searching for a source of difference in Gaussian graphical models
Vera Djordjilović, Monica Chiogna
In this work, we look at a two-sample problem within the framework of Gaussian graphical models. When the global hypothesis of equality of two distributions is rejected, the intere…
Structure learning of undirected graphical models for count data
Thi Kim Hue Nguyen, Monica Chiogna
Biological processes underlying the basic functions of a cell involve complex interactions between genes. From a technical point of view, these interactions can be represented thro…
Estimation of the Volume Under the ROC Surface in Presence of Nonignorable Verification Bias
Khanh To Duc, Monica Chiogna, Gianfranco Adimari
The volume under the receiver operating characteristic surface (VUS) is useful for measuring the overall accuracy of a diagnostic test when the possible disease status belongs to o…
Nonparametric Estimation of ROC Surfaces Under Verification Bias
Khanh To Duc, Monica Chiogna, Gianfranco Adimari
Verification bias is a well known problem when the predictive ability of a diagnostic test has to be evaluated. In this paper, we discuss how to assess the accuracy of continuous-s…
Bias-corrected methods for estimating the receiver operating characteristic surface of continuous diagnostic tests
Khanh To Duc, Monica Chiogna, Gianfranco Adimari
Verification bias is a well-known problem that may occur in the evaluation of predictive ability of diagnostic tests. When a binary disease status is considered, various solutions…