Publications

Transcription factor switching drives subtype-specific pancreatic cancer
Emerging evidence suggests that lineage-specifying transcription factors control the progression of pancreatic ductal adenocarcinoma …
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Bridging the gap between experimental burden and statistical power for quantiles equivalence testing
Testing the equivalence of multiple quantiles between two populations is important in many scientific applications, such as clinical …
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Probabilistic Branch-and-Bound for Clusterwise Linear Regression
Clusterwise linear regression, a supervised learning technique that aims at finding latent groups with distinct linear relationships, …
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Bioequivalence Assessment for Locally Acting Drugs: A Framework for Feasible and Efficient Evaluation
Equivalence testing plays a key role in several domains, such as the development of generic medical products, which are therapeutically …
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Multivariate Adjustments for Average Equivalence Testing
Multivariate (average) equivalence testing is widely used to assess whether the means of two conditions of interest are “equivalent” …
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Generalization of point-to-point matching for rigorous optimization in kinematic laser scanning
In the scope of rigorous sensor fusion in kinematic laser scanning, we present a qualitative improvement of an automated retrieval …
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Estimation and uncertainty quantification of magma interaction times using statistical emulation
Evolution of volcanic plumbing systems towards eruptions of different styles and sizes largely depends on processes at crustal depths …
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Inference for Large Scale Regression Models with Dependent Errors
The exponential growth in data sizes and storage costs has brought considerable challenges to the data science community, requiring …
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Fast and robust clustering of general-shaped structures with tk-merge
In real-world applications, the group of provenance of data can be inherently uncertain, the data values can be imprecise and some of …
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Elegant robustification of sparse partial least squares by robustness-inducing transformations
Robust alternatives exist for many statistical estimators. State-of-the-art robust methods are fine-tuned to optimize the balance …
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Colposcopy Accuracy and Diagnostic Performance: A Quality Control and Quality Assurance Survey in Italian Tertiary-Level Teaching and Academic Institutions—The Italian Society of Colposcopy and Cervico-Vaginal Pathology (SICPCV)
Quality Control (QC) and Quality Assurance (QA) principles are essential for effective cervical cancer prevention. Being a crucial …
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Honey bee colony loss linked to parasites, pesticides and extreme weather across the United States
Honey bee (Apis mellifera) colony loss is a widespread phenomenon with important economic and biological implications, whose drivers …
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Tk-merge: Computationally Efficient Robust Clustering Under General Assumptions
We address general-shaped clustering problems under very weak parametric assumptions with a two-step hybrid robust clustering algorithm …
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Doubly Robust Feature Selection with Mean and Variance Outlier Detection and Oracle Properties
We propose a general approach to handle data contaminations that might disrupt the performance of feature selection and estimation …
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Simultaneous Feature Selection and Outlier Detection with Optimality Guarantees
Biomedical research is increasingly data rich, with studies comprising ever growing numbers of features. The larger a study, the higher …
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Robust Variable Selection with Optimality Guarantees for High-Dimensional Logistic Regression
High-dimensional classification studies have become widespread across various domains. The large dimensionality, coupled with the …
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A Robust Estimation Approach for Mean-Shift and Variance-Inflation Outliers
We consider a classical regression model contaminated by multiple outliers arising simultaneously from mean-shift and …
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