Regenerative Process
A stochastic process that restarts after random regeneration times, with independent and identically distributed cycles of finite mean length. It is commonly used to model dependent data.
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The paper proposes a self-normalized Bernstein inequality for regenerative processes, providing new generalization error bounds for dependent data.
A regenerative process is a stochastic process that restarts after random time points (regeneration times), with each cycle independent and identically distributed and having finite mean length.
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The paper proposes a self-normalized Bernstein inequality for regenerative processes, providing new generalization error bounds for dependent data.
50%UnverifiedA regenerative process is a stochastic process that restarts after random time points (regeneration times), with each cycle independent and identically distributed and having finite mean length.
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