76 citations · 89 across the 2 of their papers we have counts for
6 papers
The k-statistics approach to epidemiology
Giorgio Kaniadakis, Mauro M. Baldi, Thomas S. Deisboeck +6
A great variety of complex physical, natural and artificial systems are governed by statistical distributions, which often follow a standard exponential function in the bulk, while…
Efficient and Scalable Approach to Equilibrium Conditional Simulation of Gibbs Markov Random Fields
Milan Žukovič, Dionissios T. Hristopulos
We study the performance of an automated hybrid Monte Carlo (HMC) approach for conditional simulation of a recently proposed, single-parameter Gibbs Markov random field (Gibbs MRF)…
Stochastic Local Interaction Model with Sparse Precision Matrix for Space-Time Interpolation
Dionissios T. Hristopulos, Vasiliki D. Agou
The application of geostatistical and machine learning methods based on Gaussian processes to big space-time data is beset by the requirement for storing and numerically inverting…
GPU-accelerated Simulation of Massive Spatial Data based on the Modified Planar Rotator Model
Milan Žukovič, Michal Borovský, Matúš Lach +1
A novel Gibbs Markov random field for spatial data on Cartesian grids based on the modified planar rotator (MPR) model of statistical physics has been recently introduced for effic…
Nonlinear Kinetics on Lattices based on the Kinetic Interaction Principle
Giorgio Kaniadakis, Dionissios T. Hristopulos
Master equations define the dynamics that govern the time evolution of various physical processes on lattices. In the continuum limit, master equations lead to Fokker-Planck partia…
Classification of missing values in spatial data using spin models
Milan Žukovič, Dionissios T. Hristopulos
A problem of current interest is the estimation of spatially distributed processes at locations where measurements are missing. Linear interpolation methods rely on the Gaussian as…