which is true for log likelihood? is log likelihood a global maximum? does log likelihood guarantee global convergent maxima what kind of maxima does the log likelihood model generate? how are log likelihood and convexity different which glm has local maxima which logistic model guarantees global maxima does log likelihood guarantee global maxima are log likelihood and maxima guaranteed does an glm have convergence to global maxima which model guarantees global maxima does glm have global maxima if an optimization algorithm is prone to local maxima what enables glm convergence glm guarantees convergence to global maxima which generalized linear model is guaranteed to converge to a global maxima why is log likelihood a constraint in a linear model? what is the general maxima of log likelihood how do log likelihood converge to global maxima which logistic model is highly prone to local maxima?