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High-dimensional integration without Markov chains

High-dimensional integration without Markov chains

High-dimensional integration without Markov chains. Alexander Gray Carnegie Mellon University School of Computer Science. High-dimensional integration by:. Nonparametric statistics Computational geometry Computational physics Monte Carlo methods Machine learning .

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1.36k views • 124 slides
Part IV: Monte Carlo and nonparametric Bayes

Part IV: Monte Carlo and nonparametric Bayes

Part IV: Monte Carlo and nonparametric Bayes. Outline. Monte Carlo methods Nonparametric Bayesian models. Outline. Monte Carlo methods Nonparametric Bayesian models. The Monte Carlo principle. The expectation of f with respect to P can be approximated by

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926 views • 71 slides
Nonstationary spatial covariance modeling via spatial deformation & extensions to covariates and models for dynamic

Nonstationary spatial covariance modeling via spatial deformation & extensions to covariates and models for dynamic

Nonstationary spatial covariance modeling via spatial deformation & extensions to covariates and models for dynamic atmospheric processes Paul D. Sampson (w/ Doris Damian, Peter Guttorp, Tilmann Gneiting) University of Washington and

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619 views • 49 slides
Bayesian Statistics, Modeling & Reasoning What is this course about?

Bayesian Statistics, Modeling & Reasoning What is this course about?

Bayesian Statistics, Modeling & Reasoning What is this course about?. Psychology 548 Bayesian Statistics, Modeling & Reasoning Instructor: John Miyamoto 1/6/2014: Lecture 01-1.

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343 views • 17 slides
Solving Sudoku with Simulated Annealing

Solving Sudoku with Simulated Annealing

Solving Sudoku with Simulated Annealing. Bret Wilson. What is Simulated Annealing?. Analog of physical process of annealing in metals Heat, then cool slowly Start with random configuration Try nearby neighbors Lower temperature = become pickier. Heuristic.

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409 views • 11 slides

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