• A Clustering Perspective of the Collatz Conjecture 

  Tenreiro Machado, José António; Galhano, Alexandra; Cao Labora, Daniel (MDPI, 2021)

  This manuscript focuses on one of the most famous open problems in mathematics, namely the Collatz conjecture. The first part of the paper is devoted to describe the problem, providing a historical introduction to it, as ...

• FORTLS: An R Package for Processing TLS Data and Estimating Stand Variables in Forest Inventories 

  Molina Valero, Juan Alberto; Ginzo Villamayor, María José; Novo Pérez, Manuel Antonio; Álvarez González, Juan Gabriel; Montes, Fernando; Martínez Calvo, Adela; Pérez Cruzado, César (MDPI, 2021)

  Terrestrial Laser Scanning (TLS) enables rapid, automatic, and detailed 3D representation of surfaces with an easily handled scanner device. TLS, therefore, shows great potential for use in Forest Inventories (FIs). However, ...

• Global attraction in a system of delay differential equations via compact and convex sets 

  Buedo Fernández, Sebastián (American Institute of Mathematical Sciences, 2020)

  We provide sufficient conditions for a concrete type of systems of delay differential equations (DDEs) to have a global attractor. The principal idea is based on a particular type of global attraction in difference equations ...

• Generalized Hermite Distribution Modelling with the R Package hermite 

  Moriña, David; Higueras, Manuel; Puig, Pedro; Oliveira Pérez, María (R Foundation for Statistical Computing, 2015)

  The Generalized Hermite distribution (and the Hermite distribution as a particular case) is often used for fitting count data in the presence of overdispersion or multimodality. Despite this, to our knowledge, no standard ...

• GsymPoint: An R Package to Estimate the Generalized Symmetry Point, an Optimal Cut-off Point for Binary Classification in Continuous Diagnostic Tests 

  López Ratón, Mónica; Molanes López, Elisa M.; Letón, Emilio; Cadarso Suárez, Carmen María (R Foundation for Statistical Computing, 2017)

  In clinical practice, it is very useful to select an optimal cutpoint in the scale of a continuous biomarker or diagnostic test for classifying individuals as healthy or diseased. Several methods for choosing optimal ...

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