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A Monte Carlo method for an objective Bayesian procedure
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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A new look at the Bayes procedure
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Monte Carlo Methods in Statistical Physics
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Introduction: Theory and “Technical” Aspects of Monte Carlo Simulations
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Likelihood estimation of soft-core interaction potentials for Gibbsian point patterns
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Likelihood analysis of spatial inhomogeneity for marked point patterns
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A Monte Carlo method for high dimensional integration
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Estimation of interaction potentials of spatial point patterns through the maximum likelihood procedure
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A bayesian approach to binary response curve estimation
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Likelihood and the Bayes procedure
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Non-parametric Roughness Penalty for Probability Densities
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Equation of State Calculations by Fast Computing Machines
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Non-Gaussian State-Space Modeling of Nonstationary Time Series
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Nonparametric roughness penalties for probability densities
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A new look at the Bayes procedure
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Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
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Spatial Interaction and the Statistical Analysis of Lattice Systems
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Likelihood Analysis of Spatial Point Patterns
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On the Statistical Analysis of Dirty Pictures
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Optimization by Simulated Annealing
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Experimental Bayesian Generalization Error of Non-regular Models under Covariate Shift
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Phase Diagram of Extensive-Rank Symmetric Matrix Denoising beyond Rotational Invariance
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Exchange Monte Carlo Sampling From Bayesian Posterior for Singular Learning Machines
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Comment on egusphere-2023-2865
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Comment on egusphere-2023-2865
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