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1

Csiszár, Imre, and György Michaletzky. Stochastic Differential and Difference Equations. Birkhäuser Boston, 1997. http://dx.doi.org/10.1007/978-1-4612-1980-4.

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2

Csiszár, Imre. Stochastic Differential and Difference Equations. Birkhäuser Boston, 1997.

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3

1938-, Csiszár Imre, Michaletzky György 1950-, and Conference on Stochastic Differential and Difference Equations (1996 : Győr, Hungary), eds. Stochastic differential and difference equations. Birkhäuser, 1997.

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4

Abadir, Karim M. Bias nonmonotonicity in stochastic difference equations. University of Exeter, Department of Economics, 1995.

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5

Shaikhet, Leonid. Optimal Control of Stochastic Difference Volterra Equations. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-13239-6.

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6

Shaĭkhet, L. E. Lyapunov functionals and stability of stochastic difference equations. Springer, 2011.

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7

Shaikhet, Leonid. Lyapunov Functionals and Stability of Stochastic Difference Equations. Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-685-6.

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8

Korenevskiĭ, D. G. Ustoĭchivostʹ resheniĭ determinirovannykh i stokhasticheskikh different͡s︡ialʹno-raznostnykh uravneniĭ: Algebraicheskie kriterii. Naukova dumka, 1992.

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9

Friz, Peter K. Multidimensional stochastic processes as rough paths: Theory and applications. Cambridge University Press, 2010.

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10

Friz, Peter K. Multidimensional stochastic processes as rough paths: Theory and applications. Cambridge University Press, 2010.

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11

1937-, Kapadia Asha Seth, ed. Difference equations with public health applications. Marcel Dekker, 2000.

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12

Shaikhet, Leonid. Lyapunov Functionals and Stability of Stochastic Functional Differential Equations. Springer International Publishing, 2013.

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13

Howind, Jochen. Analyse des stochastischen Modells von GPS-Trägerphasenbeobachtungen / von Jochen Howind. Verlag der Bayerischen Akademie der Wissenschaften in Kommission beim Verlags C.H. Beck, 2005.

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14

Haghighi, Aliakbar Montazer. Advanced mathematics for engineers with applications in stochastic processes. Nova Science Publishers, 2009.

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15

Haghighi, Aliakbar Montazer. Advanced mathematics for engineers with applications in stochastic processes. Nova Science Publishers, 2010.

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16

Toader, Morozan, Stoica Adrian, and SpringerLink (Online service), eds. Mathematical Methods in Robust Control of Discrete-Time Linear Stochastic Systems. Springer Science+Business Media, LLC, 2010.

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17

Herrmann, Samuel. Stochastic resonance: A mathematical approach in the small noise limit. American Mathematical Society, 2014.

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18

Ramūnas, Garunkštis, ed. The Lerch zeta-function. Kluwer Academic Publishers, 2002.

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19

Wolfgang, Kliemann, ed. Dynamical systems and linear algebra. American Mathematical Society, 2014.

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20

Stochastic Differential and Difference Equations. Birkhäuser, 2011.

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21

Shaikhet, Leonid. Lyapunov Functionals and Stability of Stochastic Difference Equations. Springer London, Limited, 2016.

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22

Shaikhet, Leonid. Lyapunov Functionals and Stability of Stochastic Difference Equations. Springer, 2011.

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23

SITU, Rong. Theory of Stochastic Differential Equations with Jumps and Applications: Mathematical and Analytical Techniques with Applications to Engineering. Springer, 2010.

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24

SITU, Rong. Theory of Stochastic Differential Equations with Jumps and Applications: Mathematical and Analytical Techniques with Applications to Engineering. Springer London, Limited, 2006.

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25

Armstrong, Scott, Tuomo Kuusi, and Jean-Christophe Mourrat. Quantitative Stochastic Homogenization and Large-Scale Regularity. Springer, 2019.

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26

Armstrong, Scott, Tuomo Kuusi, and Jean-Christophe Mourrat. Quantitative Stochastic Homogenization and Large-Scale Regularity. Springer, 2020.

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27

Shaikhet, Leonid. Optimal Control of Stochastic Difference Volterra Equations: An Introduction. Springer, 2014.

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28

Shaikhet, Leonid. Optimal Control of Stochastic Difference Volterra Equations: An Introduction. Springer, 2015.

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29

Shaikhet, Leonid. Optimal Control of Stochastic Difference Volterra Equations: An Introduction. Springer, 2016.

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30

Shaikhet, Leonid. Optimal Control of Stochastic Difference Volterra Equations: An Introduction. Springer, 2014.

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31

Markov processes from K. Itô's perspective. Princeton University Press, 2003.

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32

Shaikhet, Leonid. Lyapunov Functionals and Stability of Stochastic Functional Differential Equations. Springer, 2013.

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33

Shaikhet, Leonid. Lyapunov Functionals and Stability of Stochastic Functional Differential Equations. Springer, 2015.

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34

Shaikhet, Leonid. Lyapunov Functionals and Stability of Stochastic Functional Differential Equations. Springer, 2013.

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35

Lörinczi, József, and Fumio Hiroshima. Applications in Rigorous Quantum Field Theory. de Gruyter GmbH, Walter, 2020.

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36

Difference And Differential Equations With Applications In Queueing Theory. John Wiley & Sons Inc, 2013.

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37

An introduction to stochastic differential equations. American Mathematical Society, 2013.

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38

Brezin, Edouard, and Sinobu Hikami. Beta ensembles. Edited by Gernot Akemann, Jinho Baik, and Philippe Di Francesco. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780198744191.013.20.

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This article deals with beta ensembles. Classical random matrix ensembles contain a parameter β, taking on the values 1, 2, and 4. This parameter, which relates to the underlying symmetry, appears as a repulsion sβ between neighbouring eigenvalues for small s. β may be regarded as a continuous positive parameter on the basis of different viewpoints of the eigenvalue probability density function for the classical random matrix ensembles - as the Boltzmann factor for a log-gas or the squared ground state wave function of a quantum many-body system. The article first considers log-gas systems bef
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39

Advanced mathematics for engineers with applications in stochastic processes. Nova Science Publishers, Inc., 2013.

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40

Advanced mathematics for engineers with applications in stochastic processes. Nova Science Publishers, 2012.

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41

Algebraic And Geometric Aspects Of Integrable Systems And Random Matrices Ams Special Session Algebraic And Geometric Aspects Of Integrable Systems And Random Matrices January 67 2012 Boston Ma. American Mathematical Society, 2013.

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42

Lerch Zeta-Function. Springer, 2010.

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43

Garunkstis, Ramunas, and Antanas Laurincikas. Lerch Zeta-Function. Springer, 2013.

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