Statistics Modeling and Computational Applications
Estimation of isobars
Defining the notion of order statistics for a multivariate sample is not obvious and can be done in
Statistical Relational Learning
Handling uncertainty and exploiting structure is fundamental to understanding and designing large-sc
Clustering time series measurements of sea-levels
Knowledge about extreme sea-levels is essential for prediction of flooding risks, coastal management
Genotype by environment interaction in crop growth models for pepper
Ecophysiological crop growth models are widely used to simulate the growth course of many crops and
Numerical solutions of singularly perturbed boundary value problems using Bernstein polynomials
In this work, singularly perturbed two-point boundary value problems are solved by applying least sq
Integer-valued Bilinear Time Series Models
The analysis of count processes has become an important area of research in the last two decades. In
Upper bounds for ruin probabilities in the Sparre Andersen model
We consider the problem of estimating the adjustment coefficient R in the Sparre Andersen model, whi
EGM signals and algorithms: powerful tools for assessing Atrial Fibrillation intervention
Atrial fibrillation is a very common cardiac arrhythmia that can be resolved by radio-frequency abla
Integration of signal processing algorithms in an user-friendly software: BioSigBrowser
Biomedical Signal Toolkit (BSTk) includes general algorithms for biomedical signal processing, e.g.,