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Neural Networks, ISSN 0893-6080, 10/2019, Volume 118, pp. 235 - 246
The Gaussian process (GP) is a nonparametric prior distribution over functions indexed by time, space, or other high-dimensional index set. The GP is a... 
Function compositions | Non-Gaussian models | Gaussian process | Warped Gaussian processes | Neural networks | DENSITY-ESTIMATION | NEUROSCIENCES | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Journal Article
Journal of Machine Learning Research, ISSN 1532-4435, 11/2010, Volume 11, pp. 3011 - 3015
The GPML toolbox provides a wide range of functionality for Gaussian process (GP) inference and prediction. GPs are specified by mean and covariance functions;... 
Probabilistic regression and classification | Nonparametric bayes | Gaussian processes | CLASSIFICATION | nonparametric Bayes | AUTOMATION & CONTROL SYSTEMS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | probabilistic regression and classification
Journal Article
International Journal of Computer Vision, ISSN 0920-5691, 6/2010, Volume 88, Issue 2, pp. 169 - 188
Journal Article
IEEE Transactions on Neural Networks and Learning Systems, ISSN 2162-237X, 11/2018, Volume 29, Issue 11, pp. 5499 - 5511
Journal Article
Journal of the Korean Statistical Society, ISSN 1226-3192, 09/2016, Volume 45, Issue 3, pp. 329 - 341
The statistical analysis for equations driven by fractional Gaussian process (fGp) is relatively recent. The development of stochastic calculus with respect to... 
Parameter estimation | Non-ergodic Gaussian Ornstein–Uhlenbeck process | Non-ergodic Gaussian Ornstein-Uhlenbeck process | STATISTICS & PROBABILITY | Brownian motion | Models | Analysis | Gaussian processes | Least squares | Probability | Mathematics
Journal Article
Journal of Machine Learning Research, ISSN 1532-4435, 2013, Volume 14, Issue 1, pp. 1175 - 1179
The GPstuff toolbox is a versatile collection of Gaussian process models and computational tools required for Bayesian inference. The tools include, among... 
Bayesian hierarchical model | Gaussian process | nonparametric Bayes | AUTOMATION & CONTROL SYSTEMS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Nonparametric bayes
Journal Article
Philosophical Transactions of the Royal Society A, ISSN 1364-503X, 02/2013, Volume 371, Issue 1984, p. 20110550
In this paper, we offer a gentle introduction to Gaussian processes for time-series data analysis. The conceptual framework of Bayesian modelling for... 
MATHEMATICS | applied mathematics | mathematical modelling | COMPUTER SCIENCE | Articles | statistics | pattern recognition | Bayesian modelling | Time-series analysis | Gaussian processes | MULTIDISCIPLINARY SCIENCES | time-series analysis
Journal Article
IEEE Transactions on Pattern Analysis and Machine Intelligence, ISSN 0162-8828, 02/2015, Volume 37, Issue 2, pp. 408 - 423
Journal Article
International Journal of Computer Vision, ISSN 0920-5691, 3/2010, Volume 87, Issue 1, pp. 28 - 52
Journal Article
Journal of Process Control, ISSN 0959-1524, 03/2019, Volume 75, pp. 107 - 119
•A novel process monitoring method based on manifold analysis and statistical local approach is proposed.•Two augmented vectors based on eigenvectors that... 
Fault diagnosis | Statistical local approach | Fault detection | Gaussian assumption | Global–local manifold analysis | DIAGNOSIS | DIMENSIONALITY REDUCTION | MODEL | PCA | Global-local manifold analysis | ENGINEERING, CHEMICAL | PROJECTION | FAULT-DETECTION | SELECTION | AUTOMATION & CONTROL SYSTEMS | Control systems | Algorithms | Analysis | Production processes | Innovations
Journal Article
IEEE Transactions on Power Systems, ISSN 0885-8950, 03/2014, Volume 29, Issue 2, pp. 656 - 665
Journal Article
ADVANCES IN APPLIED PROBABILITY, ISSN 0001-8678, 12/2018, Volume 50, Issue 4, pp. 1155 - 1175
Brown-Resnick processes are max-stable processes that are associated to Gaussian processes. Their simulation is often based on the corresponding spectral... 
Gaussian process | variance reduction | max-stable process | spatial extremes | Brown-Resnick process | simulation | EXTREMES | ISOTROPIC CORRELATION-FUNCTIONS | variogram | STATISTICS & PROBABILITY | Mathematical problems | Domains | Algorithms | Simulation | Computer simulation | Representations
Journal Article