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Books on the topic 'Gaussian process'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Ludkovski, Michael, and Jimmy Risk. Gaussian Process Models for Quantitative Finance. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-80874-6.

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2

Taeryon, Choi, ed. Gaussian process regression analysis for functional data. CRC Press, 2011.

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3

Kocijan, Juš. Modelling and Control of Dynamic Systems Using Gaussian Process Models. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-21021-6.

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4

Cain, Michael. Prediction adjustments for asymmetric quadratic loss with a Gaussian process. University College of Wales, Dept. of Economics and Agricultural Economics, 1992.

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5

Neal, Radford M. Monte Carlo implementation of Gaussian process models for Bayesian regression and classification. University of Toronto, 1997.

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6

Leszek, Gawarecki, ed. Stochastic analysis for Gaussian random processes and fields: With applications. CRC Press, Taylor & Francis Group, 2016.

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7

Østerbø, Olav. Mathematical modelling and analysis of communication networks: Transient characteristics of traffic processes and models for end-to-end delay and delay-jitter. NTNU, 2003.

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8

Hida, Takeyuki. Gaussian processes. American Mathematical Society, 1993.

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9

Hida, Takeyuki. Gaussian processes. American Mathematical Society, 1993.

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10

Nagoya Lévy Seminar (3rd 1990 Nagoya-shi, Japan). Gaussian random fields. Edited by Hida Takeyuki 1927-, Itō Kiyosi 1915-, International Conference on Gaussian Random Fields (1990 : Nagoya-shi, Japan), and International Congress of Mathematicians. (1990 : Kyoto, Japan). World Scientific, 1991.

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11

Rasmussen, Carl Edward. Gaussian processes for machine learning. MIT Press, 2005.

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12

Lipt͡ser, R. Sh. Statistics of random processes. 2nd ed. Edited by Shiri͡aev Alʹbert Nikolaevich. Springer, 2001.

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13

Lifshit͡s, M. A. Gaussian random functions. Kluwer Academic Publishers, 1995.

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14

Lifshit︠s︡, M. A. Gaussovskie sluchaĭnye funkt︠s︡ii. TViMS, 1995.

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15

1951-, Levendorskiĭ Serge, ed. Non-Gaussian Merton-Black-Scholes theory. World Scientific, 2002.

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16

Marcus, Michael B. Markov processes, Gaussian processes, and local times. Cambridge University Press, 2006.

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17

Adler, Robert J. An introduction to continuity, extrema, and related topics for general Gaussian processes. Institute of Mathematical Statistics, 1990.

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18

Glonti, O. A. Issledovanii͡a︡ po teorii uslovno-gaussovskikh prot͡s︡essov. Izd-vo "Met͡s︡niereba", 1985.

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19

Frisch, Michael J. Gaussian 92 programmer's reference. Gaussian, Inc., 1993.

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20

Frisch, Michael J. Gaussian 92 user's guide. Gaussian, Inc., 1992.

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21

Rosenblatt, Murray. Gaussian and Non-Gaussian Linear Time Series and Random Fields. Springer New York, 2000.

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22

Ferraro, Alessandro. Gaussian states in quantum information. Bibliopolis, 2005.

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23

Piterbarg, V. I. Asymptotic methods in the theory of Gaussian processes and fields. American Mathematical Society, 1996.

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24

Das, Sanjiv R. Poisson-Gaussian processes and the bond markets. National Bureau of Economic Research, 1998.

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25

Sporring, Jon. Gaussian Scale-Space Theory. Springer Netherlands, 1997.

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26

1969-, Sporring Jon, ed. Gaussian scale-space theory. Kluwer Academic Publishers, 1997.

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27

Matthias, Richter. Approximation of Gaussian random elements and statistics. B.G Teubner, 1992.

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28

Mannersalo, Petteri. Gaussian and multifractal processes in teletraffic theory. VTT Technical Research Centre of Finland, 2003.

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29

David, Middleton. Non-Gaussian statistical communication theory. Wiley-IEEE Press, 2012.

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30

Hough, J. Ben. Zeros of Gaussian analytic functions and determinantal point processes. American Mathematical Society, 2009.

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31

1979-, Hough J. Ben, ed. Zeros of Gaussian analytic functions and determinantal point processes. American Mathematical Society, 2009.

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32

Obata, Nobuaki. White noise calculus and Fock space. Springer-Verlag, 1994.

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33

Shi, Jian Qing, and Taeryon Choi. Gaussian Process Regression Analysis for Functional Data. Taylor & Francis Group, 2011.

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34

Shi, Jian Qing, and Taeryon Choi. Gaussian Process Regression Analysis for Functional Data. Taylor & Francis Group, 2011.

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35

Shi, Jian Qing, and Taeryon Choi. Gaussian Process Regression Analysis for Functional Data. Taylor & Francis Group, 2011.

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36

Wang, Jack Meng-Chieh. Gaussian process dynamical models for human motion. 2005.

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37

Kocijan, Juš. Modelling and Control of Dynamic Systems Using Gaussian Process Models. Springer, 2019.

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38

Kocijan, Jus. Modelling and Control of Dynamic Systems Using Gaussian Process Models. Springer London, Limited, 2015.

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39

Kocijan, Jus. Modelling and Control of Dynamic Systems Using Gaussian Process Models. Springer International Publishing AG, 2015.

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40

Surrogates: Gaussian Process Modeling, Design, and Optimization for the Applied Sciences. Taylor & Francis Group, 2020.

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41

Gramacy, Robert B. Surrogates: Gaussian Process Modeling, Design, and Optimization for the Applied Sciences. Taylor & Francis Group, 2020.

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42

Gramacy, Robert B. Surrogates: Gaussian Process Modeling, Design, and Optimization for the Applied Sciences. Taylor & Francis Group, 2020.

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43

Gramacy, Robert B. Surrogates: Gaussian Process Modeling, Design, and Optimization for the Applied Sciences. Taylor & Francis Group, 2020.

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44

Liu, Peter Junteng. Using Gaussian process regression to denoise images and remove artefacts from microarray data. 2007.

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45

Vidales, A. MACHINE LEARNING with MATLAB: GAUSSIAN PROCESS REGRESSION, ANALYSIS of VARIANCE and BAYESIAN OPTIMIZATION. Independently Published, 2019.

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46

Samoradnitsky, Gennady. Stable Non-Gaussian Random Processes: Stochastic Models with Infinite Variance. CRC Press LLC, 2017.

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47

Samoradnitsky, Gennady. Stable Non-Gaussian Random Processes: Stochastic Models with Infinite Variance. CRC Press LLC, 2017.

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48

Samoradnitsky, Gennady. Stable Non-Gaussian Random Processes: Stochastic Models with Infinite Variance. CRC Press LLC, 2017.

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49

Stable Non-Gaussian Random Processes: Stochastic Models with Infinite Variance. CRC Press LLC, 2017.

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50

Machine Learning for Mass Production and Industrial Engineering. Logos-Verlag Berlin, 2007.

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