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Hastings: general proposal-based Markov-chain sampling

Generalized the Metropolis construction through proposal probabilities and acceptance ratios chosen to preserve a target distribution, while treating dependence and estimation error in Markov-chain samples.

What is recorded here?

Generalized the Metropolis construction through proposal probabilities and acceptance ratios chosen to preserve a target distribution, while treating dependence and estimation error in Markov-chain samples.

Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.

Scientific scope

The normalizing constant can cancel from the ratio, but validity still depends on the chain and target assumptions. Correlated draws are not independent samples, and detailed balance does not supply a finite-time mixing guarantee.

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People and systems

W. K. Hastings

Listed source contributors; individual labor shares are not measured

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Documented countries / regions: Canada

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English catalogue narrative

Hastings: general proposal-based Markov-chain sampling

Generalized the Metropolis construction through proposal probabilities and acceptance ratios chosen to preserve a target distribution, while treating dependence and estimation error in Markov-chain samples.

Scientific scope

The normalizing constant can cancel from the ratio, but validity still depends on the chain and target assumptions. Correlated draws are not independent samples, and detailed balance does not supply a finite-time mixing guarantee.

Reading status

This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.

People and systems

W. K. Hastings

Listed source contributors; individual labor shares are not measured

Original sources