Non-parametric Sampling Approximation via Voronoi Tessellations

DOI10.1080/03610918.2013.870798zbMath1343.62027OpenAlexW1979299785WikidataQ63964896 ScholiaQ63964896MaRDI QIDQ2809645

Gabriel Huerta, Charles S. Jackson, Marina Vannucci, Alvaro Nosedal, Alejandro Villagran

Publication date: 30 May 2016

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2013.870798

zbMATH Keywords

parameter estimationclimate modelsVoronoi tessellationnonparametric approximation

Mathematics Subject Classification ID

Applications of statistics to environmental and related topics (62P12) Nonparametric statistical resampling methods (62G09) Numerical aspects of computer graphics, image analysis, and computational geometry (65D18) Numerical analysis or methods applied to Markov chains (65C40) Computational methods for problems pertaining to geophysics (86-08)

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Fast matrix algebra for Bayesian model calibration, Moments of distance from a vertex to a uniformly distributed random point within arbitrary triangles

Cites Work

• Computational methods for parameter estimation in climate models
• Bayesian Calibration of Computer Models
• Advances in the Sequential Design of Computer Experiments Based on Active Learning
• Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
• Bayesian Forecasting for Complex Systems Using Computer Simulators
• Markov Chain Monte Carlo Methods for High Dimensional Inversion in Remote Sensing
• Monte Carlo sampling methods using Markov chains and their applications
• Bayes Linear Calibrated Prediction for Complex Systems
• An adaptive Metropolis algorithm
• Inferring climate system properties using a computer model