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Inference for Stereological Extremes

https://doi.org/10.1198/016214506000000988
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Outgoing claims: the papers this work cites, builds on, or argues with.

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M arkov Chain M onte C arlo
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Metal fatigue, Wicksell transform and extreme values
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An Introduction to Statistical Modeling of Extreme Values
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Approximate Bayesian Computation and MCMC
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Tail Behavior in Wicksell’s Corpuscle Problem
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The maximum size of the planar sections of random spheres and its application to metallurgy
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The precision of methods using the statistics of extremes for the estimation of the maximum size of inclusions in clean steels
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Application of the Generalized Pareto Distribution to the estimation of the size of the maximum inclusion in clean steels
inferredcites →https://doi.org/10.1023/a:1014697919230openalex-snapshot
Prediction of the Maximum Size in Wicksell's Corpuscle Problem, II
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The Largest Inclusions in a Piece of Steel
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Stereology of Extremes; Shape Factor of Spheroids
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STATISTICAL ANALYSIS OF DEFECTS FOR FATIGUE STRENGTH PREDICTION AND QUALITY CONTROL OF MATERIALS
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Markov chain Monte Carlo without likelihoods
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Catalytic tempering: A method for sampling rough energy landscapes by Monte Carlo
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Annealing Markov Chain Monte Carlo with Applications to Ancestral Inference
inferredcites →https://doi.org/10.1093/biomet/17.1-2.84openalex-snapshot
THE CORPUSCLE PROBLEM. A MATHEMATICAL STUDY OF A BIOMETRIC PROBLEM
inferredcites →https://doi.org/10.1093/biomet/18.1-2.151openalex-snapshot
THE CORPUSCLE PROBLEM. SECOND MEMOIR CASE OF ELLIPSOIDAL CORPUSCLES
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The spherical deformation model
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Approximate Bayesian Computation in Population Genetics
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Classical Model Selection via Simulated Annealing
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Comparison of extreme value statistics methods for predicting maximum inclusion size in clean steels
inferredcites →https://doi.org/10.1198/tech.2005.s344openalex-snapshot
Stereology for Statisticians
inferredcites →https://doi.org/10.1534/genetics.106.055574openalex-snapshot
Using Approximate Bayesian Computation to Estimate Tuberculosis Transmission Parameters From Genotype Data
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Statistical Mathematics.
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Inclusion rating by statistics of extreme values and its application to fatigue strength prediction and quality control of materials
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Markov chain Monte Carlo with people

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Incoming claims: where this work appears in other papers’ reference lists and arguments.

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