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.,