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Gaussian dataset
The dataset used in the paper is a Gaussian distribution with m observations and d-dimensional parameter. -
Discriminative Calibration
Discriminative calibration for Bayesian computation, applicable to MCMC, variational and simulation based inference, or even their ensembles. -
Bayesian logistic regression dataset
The dataset used in the paper is a Bayesian logistic regression dataset. -
Higher-dimensional Gaussian likelihood example
The dataset used in the paper is a higher-dimensional Gaussian likelihood example. -
Bivariate Laplace likelihood example
The dataset used in the paper is a bivariate Laplace likelihood example. -
Bivariate Gaussian likelihood example with correlated priors
The dataset used in the paper is a bivariate Gaussian likelihood example with correlated priors. -
Bivariate Gaussian likelihood example
The dataset used in the paper is a bivariate Gaussian likelihood example with uncorrelated priors. -
Univariate Gaussian likelihood example
The dataset used in the paper is a univariate Gaussian likelihood example with a range of true values θ∗ ranging from 5 to 50.
