Charles C. Margossian

发表

Bayesian Workflow.

Aki Vehtari, Bob Carpenter, Jonah Gabry, 2020, 2011.01808.

The Discrete Adjoint Method: Efficient Derivatives for Functions of Discrete Sequences

Charles C. Margossian, Michael Betancourt, Vianey Leos-Barajas, 2020 .

Bayesian workflow for disease transmission modeling in Stan

Charles C. Margossian, Elizaveta Semenova, L'eo Grinsztajn, 2020, Statistics in medicine.

Hamiltonian Monte Carlo using an adjoint-differentiated Laplace approximation: Bayesian inference for latent Gaussian models and beyond

Aki Vehtari, Daniel Simpson, Charles C. Margossian, 2020, NeurIPS.

A review of automatic differentiation and its efficient implementation

Charles C. Margossian, C. Margossian, 2018, WIREs Data Mining Knowl. Discov..

Simulating Ising and Potts models at critical and cold temperatures using auxiliary Gaussian variables

Charles C. Margossian, Sumit Mukherjee, 2021 .

Nested ˆ R : Assessing Convergence for Markov chain Monte Carlo when using many short chains

Matthew D. Hoffman, Charles C. Margossian, Pavel Sountsov, 2021 .

Flexible and efficient Bayesian pharmacometrics modeling using Stan and Torsten, Part I

Charles C. Margossian, William R. Gillespie, Yi Zhang, 2021 .

Hamiltonian Monte Carlo using an adjoint-differentiated Laplace approximation: Bayesian inference for latent Gaussian models and beyond

Daniel Simpson, Aki Vehtari, Charles C. Margossian, 2020, NeurIPS.