Recent advances in functional data analysis and high-dimensional statistics
Recent advances in functional data analysis and high-dimensional statistics - ScienceDirect
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A review of supervised machine learning algorithms and their applications to ecological data
In this paper we present a general overview of several supervised machine learning (ML)
algorithms and illustrate their use for the prediction of mass mortality events in the coastal …
algorithms and illustrate their use for the prediction of mass mortality events in the coastal …
Landslide susceptibility assesssment in the Uttarakhand area (India) using GIS: a comparison study of prediction capability of naïve bayes, multilayer perceptron …
The objective of this study is to make a comparison of the prediction performance of three
techniques, Functional Trees (FT), Multilayer Perceptron Neural Networks (MLP Neural …
techniques, Functional Trees (FT), Multilayer Perceptron Neural Networks (MLP Neural …
Modeling probability density functions as data objects
Recent developments in the probabilistic and statistical analysis of probability density
functions are reviewed. Density functions are treated as data objects for which suitable …
functions are reviewed. Density functions are treated as data objects for which suitable …
Simplicial principal component analysis for density functions in Bayes spaces
K Hron, A Menafoglio, M Templ, K Hrůzová… - … Statistics & Data …, 2016 - Elsevier
Probability density functions are frequently used to characterize the distributional properties
of large-scale database systems. As functional compositions, densities primarily carry …
of large-scale database systems. As functional compositions, densities primarily carry …
Functional random forest with applications in dose-response predictions
Drug sensitivity prediction for individual tumors is a significant challenge in personalized
medicine. Current modeling approaches consider prediction of a single metric of the drug …
medicine. Current modeling approaches consider prediction of a single metric of the drug …
Rapid freshwater discharge on the coastal ocean as a mean of long distance spreading of an unprecedented toxic cyanobacteria bloom
C Kruk, A Martínez, GM de la Escalera… - Science of The Total …, 2021 - Elsevier
Cyanobacterial toxic blooms are a worldwide problem. The Río de la Plata (RdlP) basin
makes up about one fourth of South America areal surface, second only to the Amazonian …
makes up about one fourth of South America areal surface, second only to the Amazonian …
Glucodensities: A new representation of glucose profiles using distributional data analysis
Biosensor data have the potential to improve disease control and detection. However, the
analysis of these data under free-living conditions is not feasible with current statistical …
analysis of these data under free-living conditions is not feasible with current statistical …
Pooling random forest and functional data analysis for biomedical signals supervised classification: Theory and application to electrocardiogram data
F Maturo, R Verde - Statistics in Medicine, 2022 - Wiley Online Library
Scientific progress has contributed to creating many devices to gather vast amounts of
biomedical data over time. The goal of these devices is generally to monitor people's health …
biomedical data over time. The goal of these devices is generally to monitor people's health …
Forecasting of density functions with an application to cross-sectional and intraday returns
This paper is concerned with the forecasting of probability density functions. Density
functions are nonnegative and have a constrained integral, and thus do not constitute a …
functions are nonnegative and have a constrained integral, and thus do not constitute a …