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Presenter: Rafael Cabral, Member of Technical Staff, Axiom Math Description: Latent Gaussian models (LGMs) are among the most widely used classes of statistical models, with applications ranging from biostatistics to spatial modeling. Their central assumption, that the latent variables are Gaussian, is nevertheless rarely checked. Many datasets contain sudden jumps or local spikes that a […] |
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