"Stable non-Gaussian random processes: stochastic models with infinite variance /"

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Book	Author(s)	Year	Publisher
Stable non-Gaussian random processes: stochastic models with infinite variance /	Samorodnitsky, Gennady.; Taqqu, Murad S.	[1994], ©1994.	Chapman & Hall,
Stable Non-Gaussian Random Processes: Stochastic Models with Infinite Variance: Stochastic Modeling	Moshe Shaked; Gennady Samoradnitsky	1994	Routledge
Stable Non-Gaussian Self-Similar Processes with Stationary Increments	Vladas Pipiras; Murad S. Taqqu	1st ed. 2017	Springer International Publishing
Gaussian Random Processes	I.A. Ibragimov; Y.A. Rozanov	1978	Springer New York
Stochastic Analysis for Gaussian Random Processes and Fields: With Applications	Vidyadhar S. Mandrekar; Leszek Gawarecki	2015	Routledge
Tempered Stable Distributions: Stochastic Models for Multiscale Processes	Michael Grabchak	1st ed. 2015	Springer International Publishing
Random Variables & Stochastic Processes	A. K. Malik; V. Kumar; C. B. Gupta	2013	Neelkanth Publishers Pvt. Ltd.
Gaussian and Non-Gaussian Linear Time Series and Random Fields	Murray Rosenblatt	2000	Springer New York
Stochastic Analysis of Mixed Fractional Gaussian Processes	Yuliya Mishura and Mounir Zili	2018	Elsevier
Applied non-Gaussian processes: examples, theory, simulation, linear random vibration, and MATLAB solutions /	Grigoriu, Mircea.	[1995], ©1995.	PTR Prentice Hall,
Random Sums and Branching Stochastic Processes	Ibrahim Rahimov	1995	Springer New York
Probability, Random Variables and Stochastic Processes	Athanasios Papoulis, S. Unnikrishna Pillai	2002	McGraw-Hill Europe
Probability, Random Variables and Stochastic Processes	Athanasios Papoulis, S. Unnikrishna Pillai	2002	McGraw-Hill Europe
Probability, random variables, and stochastic processes	Athanasios Papoulis	©1965	McGraw-Hill
Gaussian Random Functions	M.A. Lifshits	1995	Springer Netherlands
Stochastic models for social processes	David J. Bartholomew	1973	Wiley
Stochastic models for social processes	David J. Bartholomew	1967	Wiley
Non-Gaussian Random Vibration Fatigue Analysis and Accelerated Test	Yu Jiang; Junyong Tao; Xun Chen	1st ed. 2022	Springer Nature Singapore
The Analysis of Variance: Fixed, Random and Mixed Models	Hardeo Sahai, Mohammed I. Ageel (auth.)	2000	Birkhäuser Basel
The Analysis of Variance: Fixed, Random and Mixed Models	Hardeo Sahai; Mohammed I. Ageel	2000	Birkhäuser Boston
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Stable random processes and stochastic integrals	Gennady Samorodnitsky; Murad S. Taqqu	Stable Non-Gaussian Random Processes: Stochastic Models with Infinite Variance: Stochastic Modeling	Moshe Shaked; Gennady Samoradnitsky	1994	Routledge
Subordinated Processes with Infinite Variance	Aleksandra Grzesiek; Agnieszka Wyłomańska	Cyclostationarity: Theory and Methods – IV: Contributions to the 10th Workshop on Cyclostationary Systems and Their Applications, February 2017, Grodek, Poland	Fakher Chaari; Jacek Leskow; Radoslaw Zimroz; Agnieszka Wyłomańska; Anna Dudek	1st ed. 2020	Springer International Publishing
Gaussian stochastic processes	S. Chaturvedi	Stochastic Processes, Formalism and Applications: Proceedings of the Winter School Held at the University of Hyderabad, India, December 15–24, 1982	G.S. Agarwal; S. Dattagupta	1983	Springer Berlin Heidelberg
Ch. 5. Gaussian and Non-Gaussian Stochastic Processes		Stochastic analysis of structural and mechanical vibrations /	Lutes, L. D.; Sarkani, Shahram.	[1997], ©1997.	Prentice Hall,
Gaussian Random Processes	Steven M. Kay	Intuitive Probability and Random Processes using MATLAB®	Steven Kay	2006	Springer US
Random Processes with Infinite Moments	Michael F. Shlesinger	Anomalous Transport	Rainer Klages; G. Radons	2008	John Wiley & Sons
3. Stable random processes and stochastic integrals		Stable non-Gaussian random processes: stochastic models with infinite variance /	Samorodnitsky, Gennady.; Taqqu, Murad S.	[1994], ©1994.	Chapman & Hall,
36 Selfsimilar Processes with Infinite Variance		Selfsimilar Processes (Princeton Series in Applied Mathematics)	Paul Embrechts, Makoto Maejima	2002	Princeton University Press
Simulation of Non-Gaussian Stochastic Processes with Nonlinear Filters	G. Q. Cai; Y. K. Lin	IUTAM Symposium on Nonlinearity and Stochastic Structural Dynamics: Proceedings of the IUTAM Symposium held in Madras, Chennai, India 4–8 January 1999	S Gummadi; R.N. Iyengar	2001	Springer Netherlands
State Space Models for Gaussian Stochastic Processes	Anders Lindquist; Giorgio Picci	Stochastic Systems: The Mathematics of Filtering and Identification and Applications: Proceedings of the NATO Advanced Study Institute held at Les Arcs, Savoie, France, June 22 – July 5, 1980	Michiel Hazewinkel; J.C. Williams	1981	Springer Netherlands
Non-Gaussian processes		Random fields and their geometry	Robert J. Adler	2006	Birkhauser (Architectural)
Non-Gaussian Processes		Transitions from Digital Communications to Quantum Communications: Concepts and Prospects	Malek Benslama	2016	John Wiley & Sons
Gaussian Markov stochastic processes		Two stochastic processes	John A. Beekman	1974	Almqvist & Wiksell International ; Halsted Press
1015 Gaussian Random Processes		Introduction to Probability, Statistics, and Random Processes	Hossein Pishro-Nik	2014	Kappa Research, LLC
328 Gaussian Random Processes		Introduction to Wireless Digital Communication: A Signal Processing Perspective	Robert W. Heath Jr.	2017	Pearson Education
Non-Gaussian models and random sampling algorithms	Andrew Blake; Michael Isard	Active Contours: The Application of Techniques from Graphics, Vision, Control Theory and Statistics to Visual Tracking of Shapes in Motion	Andrew Blake; Michael Isard	1998	Springer London
Non-Gaussian Random Effects		Models for Discrete Longitudinal Data	Geert Molenberghs; Geert Verbeke	2005	Springer New York
Order Determination for Processes with Infinite Variance	R. J. Bhansali	Robust and Nonlinear Time Series Analysis: Proceedings of a Workshop Organized by the Sonderforschungsbereich 123 “Stochastische Mathematische Modelle”, Heidelberg 1983	J. Franke; W. Härdle; D. Martin	1984	Springer New York
Stable Non-Gaussian Models for Credit Risk Management	Bernhard Martin; Svetlozar T. Rachev; Eduardo S. Schwartz	Handbook of Heavy Tailed Distributions in Finance	Svetlozar T. Rachev	2003	North-Holland
Stochastic integration with respect to Gaussian processes	V. Mandrekar	Measure Theory Oberwolfach 1983: Proceedings of the Conference held at Oberwolfach, June 26-July 2, 1983	D. Kölzow; D. Maharam-Stone	1984	Springer Berlin Heidelberg
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