Engineering Applications of Statistics
The burn-in period refers to the initial phase of a Markov chain Monte Carlo (MCMC) simulation where the generated samples are not yet representative of the target distribution. During this time, the chain is still adjusting and may not reflect the true properties of the desired distribution. It's crucial to discard these early samples to ensure accurate statistical inference from the remaining data.
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