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"There is no book on the market to compare with Dr J?ckel's. All the techniques, the tricks, the pitfalls of t
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This volume represents the refereed proceedings of the Sixth International Conference on Monte Carlo and Quasi-Monte Car
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Hamiltonian Monte Carlo Methods in Machine Learning introduces methods for optimal tuning of HMC parameters, along with
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An up-to-date introduction to Monte Carlo simulations in classical statistical physics. Covers both equilibrium and out
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Monte Carlo with Python.
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In this review, I outline the role of probabilistic inference in artificial intelligence, present the theory of Markov c
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