2 citations · 4 across the 5 of their papers we have counts for
6 papers
Generalized confidence intervals for the covariate-specific overlap coefficient
Alba Alcaraz-Peñalba, Alba María Franco-Pereira, María del Carmen Pardo
Continuous diagnostic tests are often used to discriminate between diseased and healthy populations. Therefore, it is important to look for measures to assess the effectiveness of…
Area-based epigraph and hypograph indices for functional outlier detection
Belen Pulido, Alba M. Franco-Pereira, Rosa E. Lillo +1
Detecting outliers in Functional Data Analysis is challenging because curves can stray from the majority in many different ways. The Modified Epigraph Index (MEI) and Modified Hypo…
Health Prognostics in Multi-sensor Systems Based on Multivariate Functional Data Analysis
Cevahir Yildirim, Alba M. Franco-Pereira, Rosa E. Lillo
Recent developments in big data analysis, machine learning, Industry 4.0, and IoT applications have enabled the monitoring and processing of multi-sensor data collected from system…
New stochastic comparisons based on tail values at risk
Félix Belzunce, Alba M. Franco-Pereira, Julio Mulero
In this paper we provide a new criterion for the comparison of claims, when we have conditional claims arising in stop loss contracts or contracts with franchise deductible. These…
Clustering multivariate functional data using the epigraph and hypograph indices: a case study on Madrid air quality
Belén Pulido, Alba M. Franco-Pereira, Rosa E. Lillo
With the rapid growth of data generation, advancements in functional data analysis (FDA) have become essential, especially for approaches that handle multiple variables at the same…
Extremality measures and a rank test for functional data
A. M. Franco-Pereira, R. E. Lillo, J. Romo
The statistical analysis of functional data is a growing need in many research areas. In particular, a robust methodology is important to study curves, which are the output of expe…