Computational Biology, Genetics.
not the case in the gradient descent method of parameter optimization, in which the likelihood usually undergoes several cycles of increasing and decreasing before the optimal value is reached. To maximize QEM at each M step using the gradient descent method, one must compute the gradient of QEM