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Nonparametric latency estimation for mixture cure models
(Springer Nature, 2017-06)
[Abstract]: A nonparametric latency estimator for mixture cure models is studied in this paper. An i.i.d. representation is obtained, the asymptotic mean squared error of the latency estimator is found, and its asymptotic ...
A cardiotoxicity dataset for breast cancer patients
(Nature Research, 2023)
[Abstract] This dataset is a result of the collaboration between the University of A Coruña and the University Hospital of A Coruña. It contains information about 531 women diagnosed with HER2+ breast cancer, treated with ...
New Problems for Old Vineyards: Mitigating the Impacts of Yellow-Legged Hornets (Vespa velutina) in a Historical Wine-Producing Area
(Elsevier, 2024-03-14)
[Abstract] Traditional small-sized vineyards are especially sensitive to different impacts, including the arrival of new pests. The adults of the yellow-legged hornet (Vespa velutina), an invasive alien species present in ...
Distributed classification based on distances between probability distributions in feature space
(Elsevier, 2019-09)
[Abstract]: We consider a distributed framework where training and test samples drawn from the same distribution are available, with the training instances spread across disjoint nodes. In this setting, a novel learning ...
Nonparametric estimation for a functional-circular regression model
(Springer, 2024)
[Abstract]: Changes on temperature patterns, on a local scale, are perceived by individuals as the most direct indicators of global warming and climate change. As a specific example, for an Atlantic climate location, spring ...
Nonparametric Conditional Risk Mapping Under Heteroscedasticity
(Springer Nature, 2024-03)
[Absctract]: A nonparametric procedure to estimate the conditional probability that a nonstationary geostatistical process exceeds a certain threshold value is proposed. The method consists of a bootstrap algorithm that ...
Ordinal Time Series Analysis with the R Package otsfeatures
(MDPI, 2023-06)
[Abstract] The 21st century has witnessed a growing interest in the analysis of time series data. While most of the literature on the topic deals with real-valued time series, ordinal time series have typically received ...
Evaluating the impact of items and cooperation in inventory models with exemptable ordering costs
(Elsevier B.V., 2024-03)
[Absctract]: In this paper we introduce and analyse, from a game theoretical perspective, several multi-agent or multi-item continuous review inventory models in which the buyers are exempted from ordering costs if the ...
Cost-sensitive thresholding over a two-dimensional decision region for fraud detection
(Elsevier B.V., 2024-02)
[Absctract]: Credit fraud poses a challenging task in terms of detection. It can result in significant losses depending on the amount, so a cost-sensitive perspective needs to be taken. Classical approaches focus on ...
Probability of default estimation in credit risk using mixture cure models
(Elsevier, 2024-01)
[Abstract]: An estimator of the probability of default (PD) in credit risk is proposed. It is derived from a nonparametric conditional survival function estimator based on cure models. Asymptotic expressions for the bias ...