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Signal-based Bayesian Seismic Monitoring
Detecting weak seismic events from noisy sensors is a challenging perceptual task. We formulate this task as Bayesian inference and propose a generative model of seismic events... -
Bayesian Machine Learning Dataset
The dataset used in the paper is a collection of examples for the task of Bayesian machine learning. -
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.