11 citations · 22 across the 7 of their papers we have counts for
10 papers
A Bayesian nonparametric approach to the approximation of the global stable manifold
Spyridon J. Hatjispyros, Konstantinos Kaloudis
We propose a Bayesian nonparametric model based on Markov Chain Monte Carlo (MCMC) methods for unveiling the structure of the invariant global stable manifold from observed time-se…
Joint reconstruction and prediction of random dynamical systems under borrowing of strength
Spyridon J. Hatjispyros, Christos Merkatas
We propose a Bayesian nonparametric model based on Markov Chain Monte Carlo (MCMC) methods for the joint reconstruction and prediction of discrete time stochastic dynamical systems…
A Bayesian Nonparametric Approach to Dynamical Noise Reduction
Konstantinos Kaloudis, Spyridon J. Hatjispyros
We propose a Bayesian nonparametric approach for the noise reduction of a given chaotic time series contaminated by dynamical noise, based on Markov Chain Monte Carlo methods (MCMC…
Dependent Mixtures of Geometric Weights Priors
Spyridon J. Hatjispyros, Christos Merkatas, Theodoros Nicoleris +1
A new approach on the joint estimation of partially exchangeable observations is presented by constructing pairwise dependence between random density functions, each of which i…
A High Accuracy Stochastic Estimation of a Nonlinear Deterministic Model
Spyridon J. Hatjispyros, Stephen G. Walker
In this paper, an approach to estimating a nonlinear deterministic model is presented. We introduce a stochastic model with extremely small variances so that the deterministic and…
A Bayesian Nonparametric approach to Reconstruction and Prediction of Random Dynamical Systems
Christos Merkatas, Konstantinos Kaloudis, Spyridon J. Hatjispyros
We propose a Bayesian nonparametric mixture model for the reconstruction and prediction from observed time series data, of discretized stochastic dynamical systems, based on Markov…