Skorokhod 𝖩-convergence for randomly stopped Markov processes

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Survey reveals new limit theorems for randomly stopped processes and their applications to Markov processes.

Randomly stopped Markov processes are analyzed through limit theorems, indicating new theoretical contributions.
Focus on Skorokhod J-convergence and independent increments enhances understanding of stochastic processes.
Presentation of functional limit theorems opens avenues for further research in random processes and Markov applications.
Implications of these findings may support advancements in statistical methods and modeling techniques.

Silvestrov et al. (2025) studied this question.

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View Full Paper

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Authors

Survey reveals new limit theorems for randomly stopped processes and their applications to Markov processes.

Randomly stopped Markov processes are analyzed through limit theorems, indicating new theoretical contributions.
Focus on Skorokhod J-convergence and independent increments enhances understanding of stochastic processes.
Presentation of functional limit theorems opens avenues for further research in random processes and Markov applications.
Implications of these findings may support advancements in statistical methods and modeling techniques.

Silvestrov et al. (2025) studied this question.

View Full Paper

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Bookmark