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Time-reversion of a hybrid state stochastic difference system

机译:混合状态随机差分系统的时间回归

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The reversion in time of a stochastic difference equation in a hybrid space, with a markovian solution, is presented. The reversion is obtained by a martingale approach, which previously led to reverse time forms for stochastic equations with Gauss-Markov or diffusion solutions. The reverse time equations follow from a particular non-canonical martingale decomposition, while the reverse time equations for Gauss-Markov and diffusion solutions followed from the canonical martingale decomposition. The need for this non-canonical decomposition stems from the hybrid state space situation. Moreover, the non-Gaussian discrete time situation leads to reverse time equations that incorporate a Bayesian estimation step.
机译:提出了具有马尔可夫解的混合空间中随机差分方程的时间逆。可通过a方法获得逆,该方法先前导致具有高斯-马尔可夫或扩散解的随机方程的逆时间形式。反向时间方程式来自特定的非经典mar分解,而高斯-马尔可夫和扩散解的反向时间方程式来自典型followed分解。这种非规范分解的需要源于混合状态空间的情况。此外,非高斯离散时间情况导致了包含贝叶斯估计步骤的反向时间方程。

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