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ml-recall

#state-space-models

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Question 1: Short answer

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A one-dimensional linear-Gaussian state-space model has hs=Ahs−1+Bξsh_s = A h_{s-1} + B \xi_s and vs=Chs+Dηsv_s = C h_s + D \eta_s with independent standard normal ξs,ηs\xi_s, \eta_s. The filtering distribution at time s−1s - 1 is p(hs−1∣v1:s−1)=N(0,1)p(h_{s-1} \mid v_{1:s-1}) = \mathcal{N}(0, 1). With A=1A = 1, B2=1B^2 = 1, C=1C = 1, D2=2D^2 = 2 you observe vs=3v_s = 3. What is the mean μs\mu_s of p(hs∣v1:s)p(h_s \mid v_{1:s})?

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