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Estimating a 1-D Brownian motion process using noisy observations

This question is a follow-up on my previous question. Suppose I have a Brownian motion process that is defined as follows: at time $i=1$ random variable $X_1\sim\mathbf{N}(\mu,\sigma^2)$, and, for ...