Data Science Statistics
State space refers to the collection of all possible states or configurations that a system can occupy at any given time. In the context of Markov Chain Monte Carlo methods, state space is crucial because it defines the range of values that can be sampled from, guiding how algorithms traverse through these states to approximate distributions.
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