Maximum likelihood - random walk with noise measurement

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Let us consider a random walk:

$$x_{t+1} = x_t + \sigma e_{t+1}, x_0 = 0.$$

Let us consider the observable random variable:

$$y_t = x_t + \nu \eta_t.$$

We assume that $(e_t)$ and $(\eta_t)$ are independent, iid, and standard Normal.

Can we explicitly find the maximum likelihood estimators of $\sigma$ and $\nu$ (we only observe the $y$s)?