Question: (GNR) Consider the nonlinear conditional regression model $y_u sim N(mu(beta_0; x_n), sigma^2)$ where ML estimation of $beta_0$ corresponds to NLS. What is the difference between

(GNR) Consider the nonlinear conditional regression model $y_u \sim N(\mu(\beta_0; x_n), \sigma^2)$ where ML estimation of $\beta_0$ corresponds to NLS. What is the difference between the Gauss-Newton and the BHHH search directions?

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