usage: [theta, obj_value, conv, iters] = mle_estimate(theta, data, model, modelargs, control, nslaves) inputs: theta: column vector of model parameters data: data matrix model: name of function that computes log-likelihood modelargs: (cell) additional inputs needed by model. May be empty ("") control: (optional) BFGS or SA controls (see bfgsmin and samin). May be empty (""). nslaves: (optional) number of slaves if executed in parallel (requires MPITB) outputs: theta: ML estimated value of parameters obj_value: the value of the log likelihood function at ML estimate conv: return code from bfgsmin (1 means success, see bfgsmin for details) iters: number of BFGS iteration used please see mle_example.m for examples of how to use this
Package: econometrics