Search Results - "Gabry, Jonah"

Visualization in Bayesian workflow by Gabry, Jonah, Simpson, Daniel, Vehtari, Aki, Betancourt, Michael, Gelman, Andrew

“…Bayesian data analysis is about more than just computing a posterior distribution, and Bayesian visualization is about more than trace plots of Markov chains…”
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Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC by Vehtari, Aki, Gelman, Andrew, Gabry, Jonah

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Antiemetic Prophylaxis as a Marker of Health Care Disparities in the National Anesthesia Clinical Outcomes Registry by Andreae, Michael H, Gabry, Jonah S, Goodrich, Ben, White, Robert S, Hall, Charles

“…BACKGROUND:US health care disparities persist despite repeated countermeasures. Research identified race, ethnicity, gender, and socioeconomic status as…”
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Efficient leave-one-out cross-validation for Bayesian non-factorized normal and Student-t models by Bürkner, Paul-Christian, Gabry, Jonah, Vehtari, Aki

“…Cross-validation can be used to measure a model’s predictive accuracy for the purpose of model comparison, averaging, or selection. Standard leave-one-out…”
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A pragmatic trial to improve adherence with scheduled appointments in an inner-city pain clinic by human phone calls in the patient's preferred language by Andreae, Michael H., Nair, Singh, Gabry, Jonah S., Goodrich, Ben, Hall, Charles, Shaparin, Naum

“…We investigated if human reminder phone calls in the patient's preferred language increase adherence with scheduled appointments in an inner-city chronic pain…”
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Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC by Vehtari, Aki, Gelman, Andrew, Gabry, Jonah

“…Leave-one-out cross-validation (LOO) and the widely applicable information criterion (WAIC) are methods for estimating pointwise out-of-sample prediction…”
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R-squared for Bayesian Regression Models by Gelman, Andrew, Goodrich, Ben, Gabry, Jonah, Vehtari, Aki

“…The usual definition of R 2 (variance of the predicted values divided by the variance of the data) has a problem for Bayesian fits, as the numerator can be…”
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Approximate leave-future-out cross-validation for Bayesian time series models by Bürkner, Paul-Christian, Gabry, Jonah, Vehtari, Aki

“…One of the common goals of time series analysis is to use the observed series to inform predictions for future observations. In the absence of any actual new…”
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Fast Methods for Posterior Inference of Two-Group Normal-Normal Models by Greengard, Philip, Hoskins, Jeremy, Margossian, Charles C., Gabry, Jonah, Gelman, Andrew, Vehtari, Aki

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Erratum to: Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC by Vehtari, Aki, Gelman, Andrew, Gabry, Jonah

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Antiemetic Prophylaxis as a Marker of Healthcare Disparities in the National Anesthesia Clinical Outcomes Registry by Andreae, Michael H., Gabry, Jonah S., Goodrich, Ben, White, Robert S, Hall, Charles

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User-friendly Bayesian regression modeling: A tutorial with rstanarm and shinystan by Muth, Chelsea, Oravecz, Zita, Gabry, Jonah

“…This tutorial provides a pragmatic introduction to specifying, estimating and interpreting single-level and hierarchical linear regression models in the…”
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Multilevel Regression and Poststratification Interface: Application to Track Community-level COVID-19 Viral Transmission by Si, Yajuan, Tran, Toan, Gabry, Jonah, Morris, Mitzi, Gelman, Andrew

“…In the absence of comprehensive or random testing throughout the COVID-19 pandemic, we have developed a proxy method for synthetic random sampling to estimate…”
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Bayesian hierarchical weighting adjustment and survey inference by Si, Yajuan, Trangucci, Rob, Gabry, Jonah Sol, Gelman, Andrew

“…We combine weighting and Bayesian prediction in a unified approach to survey inference. The general principles of Bayesian analysis imply that models for…”
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Efficient leave-one-out cross-validation for Bayesian non-factorized normal and Student-t models by Bürkner, Paul-Christian, Gabry, Jonah, Vehtari, Aki

“…Computational Statistics, 2020 Cross-validation can be used to measure a model's predictive accuracy for the purpose of model comparison, averaging, or…”
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Approximate leave-future-out cross-validation for Bayesian time series models by Bürkner, Paul-Christian, Gabry, Jonah, Vehtari, Aki

“…Journal of Statistical Computation and Simulation (2020) One of the common goals of time series analysis is to use the observed series to inform predictions…”
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Visualization in Bayesian workflow by Gabry, Jonah, Simpson, Daniel, Vehtari, Aki, Betancourt, Michael, Gelman, Andrew

“…J. R. Stat. Soc. A (2019) 182: 389-402 Bayesian data analysis is about more than just computing a posterior distribution, and Bayesian visualization is about…”
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Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC by Vehtari, Aki, Gelman, Andrew, Gabry, Jonah

“…Statistics and Computing, 2017, Volume 27, Issue 5, pp 1413-1432 Leave-one-out cross-validation (LOO) and the widely applicable information criterion (WAIC)…”
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Bayesian hierarchical weighting adjustment and survey inference by Si, Yajuan, Trangucci, Rob, Gabry, Jonah Sol, Gelman, Andrew

“…We combine Bayesian prediction and weighted inference as a unified approach to survey inference. The general principles of Bayesian analysis imply that models…”
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Bayesian Workflow by Gelman, Andrew, Vehtari, Aki, Simpson, Daniel, Margossian, Charles C, Carpenter, Bob, Yao, Yuling, Kennedy, Lauren, Gabry, Jonah, Bürkner, Paul-Christian, Modrák, Martin

“…The Bayesian approach to data analysis provides a powerful way to handle uncertainty in all observations, model parameters, and model structure using…”
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