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1. Path integrals for stochastic processes
: an introduction
by Wio, Horacio S
2013, ISBN 9789814447997, xiii, 159
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2. Markov processes, Gaussian processes, and local times
by Marcus, Michael B and Rosen, Jay, 1948
2006, Cambridge studies in advanced mathematics, ISBN 9780521863001, Volume 100, x, 620
Markov processes | Local times (Stochastic processes) | Gaussian processes | Local history materials - Digitization
Book
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3. Level sets and extrema of random processes and fields
by Azaïs, Jean-Marc, 1957 and Wschebor, Mario
2009, 1. Aufl., ISBN 9780470409336, xi, 393
Level set methods | Random fields | Stochastic processes | Gaussian processes | MATHEMATICS | Probability & Statistics | General
Book
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4. Lectures on white noise functionals
by Hida, Takeyuki
2008, ISBN 9789812560520, xiii, 266
Book
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5. Full Text Upper and Lower Bounds for Stochastic Processes
: Modern Methods and Classical Problems
by Talagrand, Michel
2014, A series of modern surveys in mathematics, ISBN 9783642540745, Volume 60, 630
Stochastic processes | Mathematical models | Mathematics
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6. Introduction to random signals and noise
by Etten, Wim van
2005, 1. Aufl., ISBN 9780470024119, xiii, 255
Signal processing | Random noise theory | Stochastic processes | Waves & Wave Mechanics | Science | Communications Engineering | Frequency response (Electrical engineering) | Random variables
Book
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7. Gaussian processes
by Hida, Takeyuki and Hitsuda, Masuyuki
1993, Translations of mathematical monographs, ISBN 0821845683, Volume 120., xv, 183
Gaussian processes
Book
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8. Full Text On the estimation of transfer functions, regularizations and Gaussian processes—Revisited
by Chen, Tianshi and Ohlsson, Henrik and Ljung, Lennart
Automatica (Oxford), ISSN 0005-1098, 08/2012, Volume 48, Issue 8, pp. 1525 - 1535
Gaussian process | Transfer function estimation | Bias–variance trade-off | System identification | Bayesian inference | Regularization | Mean square error | Bias-variance trade-off | Engineering, Electrical & Electronic | Engineering | Automation & Control Systems | Technology | Science & Technology | Data processing. List processing. Character string processing | Memory organisation. Data processing | Exact sciences and technology | Applied sciences | Control theory. Systems | Software | Modelling and identification | Adaptative systems | Computer science; control theory; systems | Data banks | Mathematical analysis | Transfer functions | Impulse response | Mathematical models | Matrices | Bayesian analysis
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9. Sojourns and extremes of stochastic processes
by Berman, Simeon M
1992, 1, Wadsworth & Brooks/Cole statistics/probability series., ISBN 9780534139322, xiv, 300
Stochastic processes | Extreme value theory | Probability Theory & Applications
Book
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10. Full Text Stable non-Gaussian random processes: Stochastic models with infinite variance
by Samoradnitsky, Gennady and Taqqu, Murad S
01/2017, ISBN 0412051710, 629
Gaussian distribution | Gaussian processes
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11. Full Text Anisotropic $$(2+1)$$ (2+1) d growth and Gaussian limits of q-Whittaker processes
by Borodin, Alexei and Borodin, Alexei and Corwin, Ivan and Corwin, Ivan and Ferrari, Patrik L and Ferrari, Patrik L
Probability theory and related fields, ISSN 0178-8051, 10/2018, Volume 172, Issue 1, pp. 245 - 321
2+1$$ 2 + 1 Growth models | Space–time process | percolation theory | Mathematical and Computational Biology | KPZ universality class | Theoretical, Mathematical and Computational Physics | statistical mechanics type models | Probability Theory and Stochastic Processes | Mathematics | Quantitative Finance | 60K35 Interacting random processes | 82C22 Interacting particle systems | q -Whittaker processes | Statistics for Business/Economics/Mathematical Finance/Insurance | Operations Research/Decision Theory | Gaussian free field | 60G15 Gaussian processes | q-Whittaker processes | 2 + 1 Growth models | Statistics & Probability | Physical Sciences | Science & Technology | Whittaker functions | Gaussian process | Partial differential equations | Anisotropy
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12. Full Text Extended Target Tracking Using Gaussian Processes
by Wahlstrom, Niklas and Ozkan, Emre
IEEE transactions on signal processing, ISSN 1053-587X, 08/2015, Volume 63, Issue 16, pp. 4165 - 4178
Target tracking | Shape | Computational modeling | Extended target tracking | Gaussian processes | Kinematics | Position measurement | Noise measurement | star-convex | Engineering, Electrical & Electronic | Engineering | Technology | Science & Technology | Usage | Computer-generated environments | Computer simulation | Analysis | Confidence intervals | Algorithms | Tracking | Regression | Gaussian | Gating and risering | State estimation
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13. Full Text Gaussian processes for machine learning (GPML) toolbox
by Rasmussen, Carl Edward and Nickisch, Hannes
Journal of machine learning research, ISSN 1532-4435, 11/2010, Volume 11, pp. 3011 - 3015
Probabilistic regression and classification | Nonparametric bayes | Gaussian processes | Automation & Control Systems | Computer Science, Artificial Intelligence | Technology | Computer Science | Science & Technology
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14. Full Text Compositionally-warped Gaussian processes
by Rios, Gonzalo and Tobar, Felipe
Neural networks, ISSN 0893-6080, 10/2019, Volume 118, pp. 235 - 246
Function compositions | Non-Gaussian models | Gaussian process | Warped Gaussian processes | Neural networks | Neurosciences | Life Sciences & Biomedicine | Technology | Computer Science | Computer Science, Artificial Intelligence | Neurosciences & Neurology | Science & Technology | Index Medicus
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15. Full Text Selective laser sintering of carbon fiber-reinforced PA12: Gaussian process modeling and stochastic optimization of process variables
by Czelusniak, Tiago and Amorim, Fred L
International journal of advanced manufacturing technology, ISSN 0268-3768, 09/2020, Volume 110, Issue 7-8, pp. 2049 - 2066
Engineering | Automation & Control Systems | Engineering, Manufacturing | Technology | Science & Technology | Powders | Algorithms | Sintering | Analysis | Machine learning | Gaussian processes | Models | Polymers | Mechanical engineering | Multiple objective analysis | Selective laser sintering | Parameters | Laser sintering | Mechanical properties | Evolutionary algorithms | Physical properties | Density | Optimization | Carbon fibers | Gaussian process | Tradeoffs | Process variables | Rapid prototyping | Mathematical models | Design of experiments | Quality management | Fiber lasers
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16. Full Text Gaussian Processes for Object Categorization
by Kapoor, Ashish and Kapoor, Ashish and Grauman, Kristen and Grauman, Kristen and Urtasun, Raquel and Urtasun, Raquel and Darrell, Trevor and Darrell, Trevor
International journal of computer vision, ISSN 0920-5691, 6/2010, Volume 88, Issue 2, pp. 169 - 188
Pattern Recognition | Gaussian process | Active learning | Kernel combination | Computer Science | Image Processing and Computer Vision | Computer Imaging, Vision, Pattern Recognition and Graphics | Artificial Intelligence (incl. Robotics) | Object recognition | Computer Science, Artificial Intelligence | Technology | Science & Technology | Studies | Categories | Probability theory | Gaussian | Mathematical models | Probabilistic methods | Estimates | Recognition
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17. Full Text Machine learning of linear differential equations using Gaussian processes
by Raissi, Maziar and Perdikaris, Paris and Karniadakis, George Em
Journal of computational physics, ISSN 0021-9991, 11/2017, Volume 348, pp. 683 - 693
Uncertainty quantification | Inverse problems | Fractional differential equations | Functional genomics | Probabilistic machine learning | Physical Sciences | Computer Science, Interdisciplinary Applications | Technology | Physics, Mathematical | Computer Science | Physics | Science & Technology | Analysis | Differential equations | Gaussian processes | Machine learning | Mechanical engineering | Uncertainty | Gaussian process | Computer simulation | Normal distribution | Mathematical analysis | Gaussian distribution | Linear equations | Artificial intelligence | Linear operators
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