On Stationary Distributions of a Stochastic Random Difference Equation

In this paper, it is shown that an arbitrary scale mixture of normal laws can be a stationary distribution of the stochastic random difference equation (first order autoregressive scheme). An example is presented of what the (random) diffusion coefficient should look like in order for a specific mixture to be a stationary distribution.

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Publication Details

Journal
Moscow University Computational Mathematics and Cybernetics
Published
2025-09-01
DOI
https://doi.org/10.3103/s027864192570013x
Primary Topic
Stochastic processes and statistical mechanics
Type
article
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0.00
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article

On Stationary Distributions of a Stochastic Random Difference Equation

V. Yu. Korolev, N. R. Romanyuk
Moscow University Computational Mathematics and Cybernetics
Stochastic processes and statistical mechanics
article

On Stationary Distributions of a Stochastic Random Difference Equation

V. Yu. Korolev, N. R. Romanyuk
article en

Abstract

In this paper, it is shown that an arbitrary scale mixture of normal laws can be a stationary distribution of the stochastic random difference equation (first order autoregressive scheme). An example is presented of what the (random) diffusion coefficient should look like in order for a specific mixture to be a stationary distribution.

Moscow University Computational Mathematics and CyberneticsVol. 49(3)
Lomonosov Moscow State University (RU), Moscow Center For Continuous Mathematical Education (RU)
Openalex Percentile: Top 70%
Stochastic processes and statistical mechanics
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