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05/25/2023
Interval estimation in three-class ROC analysis: a fairly general approach based on the empirical likelihood
The empirical likelihood is a powerful nonparametric tool, that emulates...
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research
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06/20/2022
Guided structure learning of DAGs for count data
In this paper, we tackle structure learning of Directed Acyclic Graphs (...
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11/24/2020
Structure learning for zero-inflated counts, with an application to single-cell RNA sequencing data
The problem of estimating the structure of a graph from observed data is...
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06/20/2019
Improving estimation of the volume under the ROC surface when data are missing not at random
In this paper, we propose a mean score equation-based approach to estima...
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11/06/2018
Searching for a source of difference in Gaussian graphical models
In this work, we look at a two-sample problem within the framework of Ga...
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10/25/2018
