Jonah Gabry

posterior: Tools for Working with Posterior Distributions in R

Paul‐Christian Bürkner, Jonah Gabry, Matthew Kay, Aki Vehtari

Modern Bayesian inference is often performed via sampling algorithms that produce draws (samples) from the model's posterior distribution.The most important class of such algorithms is Markov chain Monte Carlo (MCMC), but also other algorithm classes such as variational inference and neural posterior …

de, us, fi (code pays fourni par la source)

Multilevel regression and poststratification interface: an application to track community-level COVID-19 viral transmission

Yajuan Si, Toan Tran, Jonah Gabry, Mitzi Morris et autres

PURPOSE: Public health surveillance systems require high-quality data to represent the population. 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 the actual community-level viral incidence, based …

no, us (code pays fourni par la source)

shinymrp: Interface for Multilevel Regression and Poststratification

Trần Khánh Toàn, Jonah Gabry, Yajuan Si

Dual interfaces, graphical and programmatic, designed for intuitive applications of Multilevel Regression and Poststratification (MRP). Users can apply the method to a variety of datasets, from electronic health records to sample survey data, through an end-to-end Bayesian data analysis workflow. The package …

us (code pays fourni par la source)

Preoperative Exposure to Fine Particulate Matter and Risk of Postoperative Complications: A Single Center Observational Cohort Bayesian Analysis

John Pearson, Cameron K. Jacobson, Calvin S. Riss, Matthew J. Strickland et autres

Abstract Background While exposure to fine particulate matter air pollution (PM 2.5 ) is known to cause adverse health effects, its impact on postoperative outcomes in US adults remains understudied. Perioperative exposure to PM 2.5 may induce inflammation that interacts insidiously with …

us, Afrique du Sud (code pays fourni par la source)

Multilevel Regression and Poststratification Interface: An Application to Track Community-level COVID-19 Viral Transmission

Yajuan Si, Trần Khánh Toàn, Jonah Gabry, Mitzi Morris et autres

We present a novel Bayesian workflow for multilevel regression and poststratification (MRP), introducing extensions to time-varying data and granular geography and publicly available open-source computation tools, facilitating broad research adoption and reproducibility. In the absence of comprehensive or random testing throughout the …

Fast Methods for Posterior Inference of Two-Group Normal-Normal Models

Philip Greengard, Jeremy Hoskins, Charles C. Margossian, Jonah Gabry et autres

We describe a class of algorithms for evaluating posterior moments of certain Bayesian linear regression models with a normal likelihood and a normal prior on the regression coefficients. The proposed methods can be used for hierarchical mixed effects models with partial pooling …

us, fi (code pays fourni par la source)

Tools for Working with Posterior Distributions [R package posterior version 1.1.0]

Paul‐Christian Bürkner, Jonah Gabry, Matthew Kay, Aki Vehtari

Tools for Working with Posterior Distributions [R package posterior version 1.0.1]

Paul‐Christian Bürkner, Jonah Gabry, Matthew Kay, Aki Vehtari

posterior: Tools for Working with Posterior Distributions

Paul‐Christian Bürkner, Jonah Gabry, Matthew Kay, Aki Vehtari

Provides useful tools for both users and developers of packages for fitting Bayesian models or working with output from Bayesian models. The primary goals of the package are to: (a) Efficiently convert between many different useful formats of draws (samples) from posterior …

Plotting for Bayesian Models [R package bayesplot version 1.8.1]

Jonah Gabry, Tristan Mahr

Plotting for Bayesian Models [R package bayesplot version 1.8.0]

Jonah Gabry, Tristan Mahr

C++ Header Files for Stan [R package StanHeaders version 2.21.0-7]

Ben Goodrich, Matt Hoffman, Michael Betancourt, Marcus A. Brubaker et autres