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Random Fields for Spatial Data Modeling: A Primer for Scientists and Engineers

Hristopulos, Dionissios T

1st ed. 2020., 2020

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Kaniadakis Functions beyond Statistical Mechanics: Weakest-Link Scaling, Power-Law Tails, and Modified Lognormal Distribution

Entropy (Basel, Switzerland), 2022-09, Vol.24 (10), p.1362

2022

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Ising Model for Interpolation of Spatial Data on Regular Grids

Entropy (Basel, Switzerland), 2021-09, Vol.23 (10), p.1270

2021

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Spatial Modeling of Precipitation Based on Data-Driven Warping of Gaussian Processes

Entropy (Basel, Switzerland), 2022-02, Vol.24 (3), p.321

2022

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Recurrent neural network-based acute concussion classifier using raw resting state EEG data

Scientific reports, 2021-06, Vol.11 (1), p.12353-12353, Article 12353

2021

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Disrupted Information Flow in Resting-State in Adolescents With Sports Related Concussion

Frontiers in human neuroscience, 2019-12, Vol.13, p.419-419

2019

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Non-separable Covariance Kernels for Spatiotemporal Gaussian Processes based on a Hybrid Spectral Method and the Harmonic Oscillator

IEEE transactions on information theory, 2024-02, Vol.70 (2), p.1-1

Hristopulos, Dionissios T.

2024

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Information Flow Rate for Cross-Correlated Stochastic Processes

IEEE transactions on signal processing, 2024, Vol.72, p.839-854

Hristopulos, Dionissios T.

2024

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Deep Learning Recurrent Neural Network for Concussion Classification in Adolescents Using Raw Electroencephalography Signals: Toward a Minimal Number of Sensors

Frontiers in human neuroscience, 2021-11, Vol.15, p.734501-734501

2021

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Nonlinear Kinetics on Lattices Based on the Kinetic Interaction Principle

Entropy (Basel, Switzerland), 2018-06, Vol.20 (6), p.426

2018

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Efficient and Scalable Approach to Equilibrium Conditional Simulation of Gibbs Markov Random Fields

EPJ Web of Conferences, 2020, Vol.226, p.2023

2020

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Spatiotemporal geostatistical analysis of precipitation combining ground and satellite observations

Hydrology Research, 2021-06, Vol.52 (3), p.804-820

2021

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Stochastic Local Interaction (SLI) model: Bridging machine learning and geostatistics

Computers & geosciences, 2015-12, Vol.85, p.26-37

Hristopulos, Dionissios T.

2015

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Weakest-Link Scaling and Extreme Events in Finite-Sized Systems

Entropy (Basel, Switzerland), 2015-03, Vol.17 (3), p.1103-1122

2015

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Estimation of the uncertainty of hydrologic predictions in a karstic Mediterranean watershed

The Science of the total environment, 2020-05, Vol.717, p.137131-137131, Article 137131

2020

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Special Issue: Geostatistics and Machine Learning

Mathematical geosciences, 2022-04, Vol.54 (3), p.459-465

2022

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Forecasting of methane gas in underground coal mines: univariate versus multivariate time series modeling

Stochastic environmental research and risk assessment, 2023-06, Vol.37 (6), p.2099-2115

2023

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Geostatistical analysis of precipitation in the island of Crete (Greece) based on a sparse monitoring network

Environmental monitoring and assessment, 2019-06, Vol.191 (6), p.353-24, Article 353

2019

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The κ-statistics approach to epidemiology

Scientific reports, 2020-11, Vol.10 (1), p.19949-19949, Article 19949

2020

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Effective probability distribution approximation for the reconstruction of missing data

Stochastic environmental research and risk assessment, 2020-02, Vol.34 (2), p.235-249

2020

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Boltzmann–Gibbs Random Fields with Mesh-free Precision Operators Based on Smoothed Particle Hydrodynamics

Theory of probability and mathematical statistics, 2022, Vol.107, p.37-60

Hristopulos, Dionissios

2022

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Stochastic Local Interaction Model: An Alternative to Kriging for Massive Datasets

Mathematical geosciences, 2021-11, Vol.53 (8), p.1907-1949

2021

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Covariance functions motivated by spatial random field models with local interactions

Stochastic environmental research and risk assessment, 2015-03, Vol.29 (3), p.739-754

Hristopulos, Dionissios T.

2015

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The Upper Crustal Deformation Field of Greece Inferred From GPS Data and Its Correlation With Earthquake Occurrence

Journal of geophysical research. Solid earth, 2024-04, Vol.129 (4), p.n/a

2024

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GPU-Accelerated Simulation of Massive Spatial Data Based on the Modified Planar Rotator Model

Mathematical geosciences, 2020, Vol.52 (1), p.123-143

2020

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Random Fields for Spatial Data Modeling: A Primer for Scientists and Engineers

Kaniadakis Functions beyond Statistical Mechanics: Weakest-Link Scaling, Power-Law Tails, and Modified Lognormal Distribution

Ising Model for Interpolation of Spatial Data on Regular Grids

Spatial Modeling of Precipitation Based on Data-Driven Warping of Gaussian Processes

Recurrent neural network-based acute concussion classifier using raw resting state EEG data

Disrupted Information Flow in Resting-State in Adolescents With Sports Related Concussion

Non-separable Covariance Kernels for Spatiotemporal Gaussian Processes based on a Hybrid Spectral Method and the Harmonic Oscillator

Information Flow Rate for Cross-Correlated Stochastic Processes

Deep Learning Recurrent Neural Network for Concussion Classification in Adolescents Using Raw Electroencephalography Signals: Toward a Minimal Number of Sensors

Nonlinear Kinetics on Lattices Based on the Kinetic Interaction Principle

Efficient and Scalable Approach to Equilibrium Conditional Simulation of Gibbs Markov Random Fields

Spatiotemporal geostatistical analysis of precipitation combining ground and satellite observations

Stochastic Local Interaction (SLI) model: Bridging machine learning and geostatistics

Weakest-Link Scaling and Extreme Events in Finite-Sized Systems

Estimation of the uncertainty of hydrologic predictions in a karstic Mediterranean watershed

Special Issue: Geostatistics and Machine Learning

Forecasting of methane gas in underground coal mines: univariate versus multivariate time series modeling

Geostatistical analysis of precipitation in the island of Crete (Greece) based on a sparse monitoring network

The κ-statistics approach to epidemiology

Effective probability distribution approximation for the reconstruction of missing data

Boltzmann–Gibbs Random Fields with Mesh-free Precision Operators Based on Smoothed Particle Hydrodynamics

Stochastic Local Interaction Model: An Alternative to Kriging for Massive Datasets

Covariance functions motivated by spatial random field models with local interactions

The Upper Crustal Deformation Field of Greece Inferred From GPS Data and Its Correlation With Earthquake Occurrence

GPU-Accelerated Simulation of Massive Spatial Data Based on the Modified Planar Rotator Model

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