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June 5, 2026
Neural Network Maps as a Method for Constructing Mathematical Models
Scientists from HSE University–Nizhny Novgorod and the Institute of Physics Belgrade, Serbia, are jointly exploring the application of machine learning techniques and neural networks to the study of nonlinear dynamics. Natalya Stankevich, Leading Research Fellow at the Laboratory of Topological Methods in Dynamics of the Faculty of Informatics, Mathematics, and Computer Science at HSE University–Nizhny Novgorod, spoke to the HSE News Service about this international project.
June 5, 2026
‘In the Age of Technology, It Is Interesting to Look into the Past and Think about What We Can Take from It
Polina Tabakova decided to apply for a Philology degree at HSE in Nizhny Novgorod because she grew up in Mari El and did not want to move far away from the Russian forests. In an interview for the Young Scientists of HSE University project, she spoke about the genre of the campus novel, the existential drama of Kolobok, and a blackout version of Eugene Onegin.
June 5, 2026
HSE Scientists Develop Method to Compress Large Language Models Without Losing Quality
Researchers from the AI and Digital Science Institute at the HSE Faculty of Computer Science have developed a new compression method for large language models such as GPT and LLaMA that reduces their size by 25–36% without additional training or significant loss of accuracy. This is the first approach to use mathematical transformations—specifically, rotations of model weights—to make models more amenable to compression with structured matrices. The study results have been published in ACL Findings 2025. The code is available on GitHub.

 

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Multidimensional synchronization models based on Levy processes

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Manita A.
Language: English
Keywords: Levy processes stochastic synchronizationintrinsic space scalesLevy jump-diffusions

In book

New trends in Stochastic Modeling and Data Analysis
New trends in Stochastic Modeling and Data Analysis
Athens: ISAST: International Society for the Advancement of Science and Technology, 2015.
Similar publications
Bitcoin price modelling via analysis of Google Trends data: Lévy-based approach
Morozova E., Panov V., Finance Research Letters 2025 Vol. 86 No. A Article 108301
This paper presents a new approach to modeling the Bitcoin prices using the Lévy processes - a class of stochastic processes that are able to realistically capture the jump-type dynamics of financial time series. Our method is inspired by recent research on Bitcoin, which suggests that the prices are closely connected to the media attention ...
Added: September 4, 2025
Bitcoin pricing via Lévy–based models
Morozova E., Panov V., / Series SSRN "ERN: Speculation in Economic Markets". 2025. No. 5222389.
This paper presents a new approach to modeling the Bitcoin prices using the Lévy processes - a class of stochastic processes that are able to realistically capture the jump-type dynamics of financial time series. Our method is inspired by the findings in recent research on Bitcoin, which suggest that the prices are closely connected to ...
Added: May 2, 2025
Modelling the Bitcoin prices and media attention to Bitcoin via the jump-type processes
Morozova E., Panov V., Applied Stochastic Models in Business and Industry 2023 Vol. 39 No. 6 P. 772–788
In this paper, we present a new bivariate model for the joint description of the Bitcoin prices and the media attention to Bitcoin. Our model is based on the class of the Levy processes and is able to realistically reproduce the jump-type dynamics of the considered time series. We focus on the lowfrequency setup, which ...
Added: June 29, 2023
Modelling the Bitcoin prices and the media attention to Bitcoin via the jump-type processes
Morozova E., Panov V., / Series arXiv.org "q-fin.ST". 2022. No. 2210.13824.
In this paper, we present a new bivariate model for the joint description of the Bitcoin prices and the media attention to Bitcoin. Our model is based on the class of the Lévy processes and is able to realistically reproduce the jump-type dynamics of the considered time series. We focus on the low-frequency setup, which ...
Added: October 26, 2022
Continuous Markovian model for Lévy random walks with superdiffusive and superballistic regimes
Lubashevsky I., Heuer A., Friedrich R. et al., The European Physical Journal B 2010 Vol. 78 P. 207–216
We consider a previously devised model describing Lévy random walks [I. Lubashevsky, R. Friedrich, A. Heuer, Phys. Rev. E 79, 011110 (2009); I. Lubashevsky, R. Friedrich, A. Heuer, Phys. Rev. E 80, 031148 (2009)]. It is demonstrated numerically that the given model describes Lévy random walks with superdiffusive, ballistic, as well as superballistic dynamics. Previously ...
Added: November 6, 2021
Truncated Lévy flights and generalized Cauchy processes
Lubashevsky I., The European Physical Journal B 2010 Vol. 82 P. 189–195
A continuous Markovian model for truncated Lévy flights is proposed. It generalizes the approach developed previously by Lubashevsky et al. [Phys. Rev. E 79, 011110 (2009); Phys. Rev. E 80, 031148 (2009), Eur. Phys. J. B 78, 207 (2010)] and allows for nonlinear friction in wandering particle motion as well as saturation of the noise intensity ...
Added: November 6, 2021
Equivalent continuous and discrete realizations of Lévy flights: A model of one-dimensional motion of an inertial particle
Lubashevsky I., Physica A: Statistical Mechanics and its Applications 2013 Vol. 392 No. 10 P. 2323–2346
The paper is devoted to the relationship between the continuous Markovian description of Lévy flights developed previously (see, e.g., I.A. Lubashevsky, Truncated Lévy flights and generalized Cauchy processes, Eur. Phys. J. B 82 (2011) 189–195 and references therein) and their equivalent representation in terms of discrete steps of a wandering particle, a certain generalization of ...
Added: November 6, 2021
Continuous-time multidimensional Markovian description of Lévy walks
Lubashevsky I., Friedrich R., Heuer A., Physical Review E - Statistical, Nonlinear, and Soft Matter Physics 2009 Vol. 80 Article 031148
The paper presents a multidimensional model for nonlinear Markovian random walks that generalizes the one we developed previously [I. Lubashevsky, R. Friedrich, and A. Heuer, Phys. Rev. E 79, 011110 (2009)] in order to describe the Lévy-type stochastic processes in terms of continuous trajectories of walker motion. This approach may open a way to treat ...
Added: November 6, 2021
Realization of Lévy walks as Markovian stochastic processes
Lubashevsky I., Friedrich R., Heuer A., Physical Review E - Statistical, Nonlinear, and Soft Matter Physics 2009 Vol. 79 Article 011110
Based on multivariate Langevin processes we present a realization of Lévy flights as a continuous process. For the simple case of a particle moving under the influence of friction and a velocity-dependent stochastic force we explicitly derive the generalized Langevin equation and the corresponding generalized Fokker-Planck equation describing Lévy flights. Our procedure is similar to ...
Added: November 6, 2021
Global stability in a nonlocal reaction-diffusion equation
Finkelstein D., Kondratiev Y., Molchanov S. et al., Stochastics and Dynamics 2018 Vol. 18 No. 05 P. 1850037
We study stability of stationary solutions for a class of nonlocal semilinear parabolic equations. To this end, we prove the Feynman–Kac formula for a Lévy processes with time-dependent potentials and arbitrary initial condition. We propose sufficient conditions for asymptotic stability of the zero solution, and use them to the study of the spatial logistic equation ...
Added: November 14, 2019
On limit laws of multi-dimensional stochastic synchronization models
Manita A., Journal of Physics: Conference Series 2019 Vol. 1163 No. 012060 P. 1–7
L´evy stochastic processes and related fine analytic properties of probability distributions such as infinite divisibility play an important role in construction of stochastic models of various distributed networks (e.g., local clock synchronization), of some physical systems (e.g., anomalous diffusions, quantum probability models), of finance etc. Nevertheless, little is known about limit probability laws resulted from ...
Added: June 21, 2019
NONPARAMETRIC BAYESIAN INFERENCE FOR GAMMA-TYPE LEVY SUBORDINATORS
Belomestny D., GUGUSHVILI S., SCHAUER M. et al., Communications in Mathematical Sciences 2019 Vol. 17 No. 3 P. 781–816
Given discrete time observations over a growing time interval, we consider a nonparametric Bayesian approach to estimation of the Levy density of a Levy process belonging to a flexible class of infinite activity subordinators. Posterior inference is performed via MCMC, and we circumvent the problem of the intractable likelihood via the data augmentation device, that ...
Added: June 11, 2019
HJB equations with gradient constraint associated with controlled jump-diffusion processes
Kelbert M., Moreno-Franco H. A., SIAM Journal on Control and Optimization 2019 Vol. 57 No. 3 P. 2185–2213
In this paper, we guarantee the existence and uniqueness (in the almost everywhere sense) of the solution to a Hamilton-Jacobi-Bellman (HJB) equation with gradient constraint and a partial integro-di erential operator whose Levy measure has bounded variation. This type of equation arises in a singular control problem, where the state process is a multidimensional jump-di usion with jumps of ...
Added: February 13, 2019
Translation invariant statistical experiments with independent increments
Gushchin A. A., Kordzakhia N., Novikov A., Statistical Inference for Stochastic Processes 2018 Vol. 21 No. 2 P. 363–383
We provide a full description of the class of translation invariant experiments with independent increments. Necessary and sufficient conditions for the weak convergence and the comparison of experiments within this class are given. Finally, we prove exponential boundedness of Pitman estimators in these models. ...
Added: June 29, 2018
Low-rank diffusion matrix estimation for high-dimensional time-changed Levy processes
Belomestny D., Trabs M., Annales de l'institut Henri Poincare (B) Probability and Statistics 2018 Vol. 54 No. 3 P. 1583–1621
The estimation of the diffusion matrix Σ of a high-dimensional, possibly time-changed Levy process is studied, based on discrete observations of the process with a fixed distance. A low-rank condition is imposed on Σ. Applying a spectral approach, we construct a weighted least-squares estimator with nuclear-norm-penalisation. We prove oracle inequalities and derive convergence rates for ...
Added: May 5, 2018
Statistical inference for moving-average Lévy-driven processes: Fourier-based approach
Belomestny D., Orlova T., Panov V., Statistica Neerlandica 2019 Vol. 1 P. 100–117
We consider a new method of semiparametric statistical estimation for the continuous-time moving-average Lévy processes. We derive the convergence rates of the proposed estimators and show that these rates are optimal in minimax sense. ...
Added: April 28, 2018
Survey on Scale Functions for Spectrally Negative Lévy Processes
Kelbert M., Karpikov I., Science and Business: Ways of Development 2018 Vol. 79 No. 1 P. 56–68
This article gives a brief summary on the main theoretical and practical results for the Scale functions. The article is organized in the following way: the first part describes the main theoretical concepts of Lévy processes, gives the formal definition and analytical properties of the Scale function. The second part describes the most significant practical ...
Added: April 5, 2018
Stochastic micromodel of the Couette flow
Manita A.D., Theory of Probability and Its Applications 2009 Vol. 53 No. 4 P. 155–165
We study the Markov exclusion process for a particle system with a local interaction in the integer strip. This process models the exchange of velocities and particle-hole exchange of the liquid molecules. It is shown that the mean velocity profile corresponds to the behavior which is characteristic for incompressible viscous liquid. We prove the existence ...
Added: June 20, 2017
Statistical inference for moving-average Lévy-driven processes: Fourier-based approach
Belomestny D., Orlova T., Panov V., / Series arXiv "stat". 2017. No. 1702.02794.
We consider a new method of the semiparametric statistical estimation for the continuous-time moving average L\'evy processes. We derive the convergence rates of the proposed estimators, and show that these rates are optimal in the minimax sense. ...
Added: February 10, 2017
On Behavior of Stochastic Synchronization Models
Manita A., Journal of Physics: Conference Series 2016 Vol. 681 No. 1 P. 1–6
We consider N-component synchronization models defined in terms of stochastic particle systems with special interaction. For general (nonsymmetric) Markov models we discuss phenomenon of the long time stochastic synchronization. We study behavior of the system in different limit situations related to appropriate changes of variables and scalings. For N = 2 limit distributions are found ...
Added: March 29, 2016
Построение COGARCH (Continuous GARCH) модели
Panov V., Markova A., В кн.: Математическое моделирование в экономике, страховании и управлении рисками: сборник материалов IV Международной молодежной научно-практической конференцииТ. 1.: Саратов: Издательство Саратовского университета, 2015. С. 171–176.
The article considers the procedure of constructing COGARCH volatility models with continuous time based on the Levy processes. The article describes the procedure of constructing the model in the general case and in the case of compound Poisson process. ...
Added: December 8, 2015
Statistical inference for generalized Ornstein-Uhlenbeck processes
Belomestny D., Panov V., Electronic journal of statistics 2015 Vol. 9 No. 2 P. 1974–2006
In this paper, we consider the problem of statistical inference for generalized Ornstein-Uhlenbeck processes of the type \[ X_{t} = e^{-\xi_{t}} \left( X_{0} + \int_{0}^{t} e^{\xi_{u-}} d u \right), \] where \(\xi_s\) is a L{\'e}vy process. Our primal goal is to estimate the characteristics of the L\'evy process \(\xi\) from the low-frequency observations of the process \(X\). We present ...
Added: September 1, 2015
Intrinsic scales for high-dimensional Levy-driven models with non-Markovian synchronizing updates
Manita A., / Series "Working papers by Cornell University". 2014. No. arXiv:1409.2919.
http://xxx.tau.ac.il/abs/1409.2919 We propose stochastic N -component synchronization models, whose dynamics is described by Levy processes and synchronizing jumps. We prove that symmetric models reach synchronization in a stochastic sense: differences between components have limits in distribution as t→∞. We give conditions of existence of natural (intrinsic) space scales for large synchronized systemsю. It appears that ...
Added: March 18, 2015
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