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#58 Bayesian Modeling and Computation, with Osvaldo Martin, Ravin Kumar and Junpeng Lao

Learning Bayesian Statistics

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The Problems of Splitting a State Space Model

The ideal is not so we don't wolk with i regression any more. Beger som splined is still much regretsion that you have some base functions and coefficiens. We like the idea of presenting time sery a state space model, because we think that each timested you have some kind of previous latent state. Therere actually some ways of f generalizing these Isplane to higher dimensions.

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