Recent content by hdb

  1. H

    Increasing variance of weights in sequential importance sampling

    - The abbreviation of sequential importance sampling is SIS, as far as I know, and this approach does not include resampling, not like the sequential important resampling (SIR) - Basicly fact 1 and fact 2 say somewhat the same thing. Variance is the second moment of the normalized weights...
  2. H

    Fisher matrix for multivariate normal distribution

    Thank you for the answers, in between I have found an another reference, which is a direct derivation of the same result, for me this one seems to be easier to interpret: Klein, A., and H. Neudecker. “A direct derivation of the exact Fisher information matrix of Gaussian vector state space...
  3. H

    Fisher matrix for multivariate normal distribution

    The fisher information matrix for multivariate normal distribution is said at many places to be simplified as: \mathcal{I}_{m,n} = \frac{\partial \mu^\mathrm{T}}{\partial \theta_m} \Sigma^{-1} \frac{\partial \mu}{\partial \theta_n}.\ even on...
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