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Modular Jump Gaussian Processes

open access: yesData Science in Science
Gaussian processes (GPs) furnish accurate nonlinear predictions with well-calibrated uncertainty. However, the typical GP setup has a built-in stationarity assumption, making it ill-suited for modeling data from processes with sudden changes, or “jumps ...
Anna R. Flowers   +4 more
doaj   +3 more sources

On Itô formulas for jump processes [PDF]

open access: yesQueueing Systems, 2021
AbstractA well-known Itô formula for finite-dimensional processes, given in terms of stochastic integrals with respect to Wiener processes and Poisson random measures, is revisited and is revised. The revised formula, which corresponds to the classical Itô formula for semimartingales with jumps, is then used to obtain a generalisation of an important ...
István Gyöngy, Sizhou Wu
openaire   +4 more sources

Local Stability of McKean–Vlasov Equations Arising from Heterogeneous Gibbs Systems Using Limit of Relative Entropies

open access: yesEntropy, 2021
A family of heterogeneous mean-field systems with jumps is analyzed. These systems are constructed as a Gibbs measure on block graphs. When the total number of particles goes to infinity, the law of large numbers is shown to hold in a multi-class context,
Donald A. Dawson   +2 more
doaj   +1 more source

A modified Φ-Sobolev inequality for canonical Lévy processes and its applications

open access: yesModern Stochastics: Theory and Applications, 2023
A new modified Φ-Sobolev inequality for canonical ${L^{2}}$-Lévy processes, which are hybrid cases of the Brownian motion and pure jump-Lévy processes, is developed.
Noriyoshi Sakuma, Ryoichi Suzuki
doaj   +1 more source

Estimating Equations for Density Dependent Markov Jump Processes

open access: yesMathematics, 2021
Reaction networks are important tools for modeling a variety of biological phenomena across a wide range of scales, for example as models of gene regulation within a cell or infectious disease outbreaks in a population. Hence, calibrating these models to
Oluseyi Odubote, Daniel F. Linder
doaj   +1 more source

Regularity of models associated with Markov jump processes

open access: yesOpen Mathematics, 2022
We consider a jump Markov process X=(Xt)t≥0X={\left({X}_{t})}_{t\ge 0}, with values in a state space (E,ℰ)\left(E,{\mathcal{ {\mathcal E} }}). We suppose that the corresponding infinitesimal generator πθ(x,dy),x∈E{\pi }_{\theta }\left(x,{\rm{d}}y),x\in E,
Jedidi Wissem
doaj   +1 more source

Modeling Regulation of Economic Sustainability in Energy Systems with Diversified Resources

open access: yesSci, 2021
The imperfection of theoretical and methodological approaches to regulate the jump process transition when combining differentiated energy resources is a pressing issue.
Anatoly Alabugin, Sergei Aliukov
doaj   +1 more source

Game-Theoretic Optimal Portfolios for Jump Diffusions

open access: yesGames, 2019
This paper studies a two-person trading game in continuous time that generalizes Garivaltis (2018) to allow for stock prices that both jump and diffuse.
Alex Garivaltis
doaj   +1 more source

Interest-Rate Products Pricing Problems with Uncertain Jump Processes

open access: yesDiscrete Dynamics in Nature and Society, 2021
Uncertain differential equations (UDEs) with jumps are an essential tool to model the dynamic uncertain systems with dramatic changes. The interest rates, impacted heavily by human uncertainty, are assumed to follow UDEs with jumps in ideal markets ...
Yiyao Sun, Shiqin Liu
doaj   +1 more source

Symmetric Jump Processes [PDF]

open access: yesTransactions of the American Mathematical Society, 1974
We use the theory of Dirichlet spaces to construct symmetric Markov processes of pure jump type and to identify the Lévy measures for these processes. Particular attention is paid to lattice and hard sphere systems which interact through speed change and exclusion.
openaire   +1 more source

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