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metropolis-hastings algorithm  (STATA Corporation)


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    STATA Corporation metropolis-hastings algorithm
    Metropolis Hastings Algorithm, supplied by STATA Corporation, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/metropolis-hasting+algorithm/metropolis+hastings+algorithm/pmc07534632-674-11-5
    Average 90 stars, based on 1 article reviews
    metropolis-hastings algorithm - by Bioz Stars, 2026-09
    90/100 stars

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    Related Articles

    Sampling:

    Article Title: Frequentist and Bayesian Regression Approaches for Determining Risk Factors of Child Mortality in Ghana
    Article Snippet: In this study, we use the Metropolis-Hastings Algorithm, with the bayesmh package in STATA, to simulate parameter estimates from the posterior distributions.

    Article Title: Using Bayesian analysis to examine associations between spanking and child externalizing behavior across race and ethnic groups.
    Article Snippet: Bayesian estimation was accomplished through the implementation of the Markov Chain Monte Carlo (MCMC) estimation using the Metropolis-Hastings Algorithm (StataCorp, 2017a; StataCorp, 2017b) with 2500 burn-in iterations, and 10,000 subsequent MCMC iterations.

    Article Title: Annotated Listing of New Books
    Article Snippet: Our policy is to annotate all English-language books on economics and related subjects that are sent to us.. A very small number of foreign-language books are called to our attention and annotated by our consulting editors or others.. Our staff does not monitor and order books published; therefore, if an annotation of a book does not appear six months after the publication date, please write to us or the publisher concerning the book.

    Article Title: Nested dynamic network data envelopment analysis models with infinitely many decision making units for portfolio evaluation
    Article Snippet: We use the commercial software STATA (version 15) that adapts the Metropolis-Hastings algorithm (an MCMC algorithm) to obtain the posterior distribution on the mean of the rate of return V ^ .

    Selection:

    Article Title: Frequentist and Bayesian Regression Approaches for Determining Risk Factors of Child Mortality in Ghana
    Article Snippet: In this study, we use the Metropolis-Hastings Algorithm, with the bayesmh package in STATA, to simulate parameter estimates from the posterior distributions.

    Article Title: Using Bayesian analysis to examine associations between spanking and child externalizing behavior across race and ethnic groups.
    Article Snippet: Bayesian estimation was accomplished through the implementation of the Markov Chain Monte Carlo (MCMC) estimation using the Metropolis-Hastings Algorithm (StataCorp, 2017a; StataCorp, 2017b) with 2500 burn-in iterations, and 10,000 subsequent MCMC iterations.

    Article Title: Annotated Listing of New Books
    Article Snippet: Our policy is to annotate all English-language books on economics and related subjects that are sent to us.. A very small number of foreign-language books are called to our attention and annotated by our consulting editors or others.. Our staff does not monitor and order books published; therefore, if an annotation of a book does not appear six months after the publication date, please write to us or the publisher concerning the book.

    Article Title: Nested dynamic network data envelopment analysis models with infinitely many decision making units for portfolio evaluation
    Article Snippet: We use the commercial software STATA (version 15) that adapts the Metropolis-Hastings algorithm (an MCMC algorithm) to obtain the posterior distribution on the mean of the rate of return V ^ .



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