For some of my current projects, I'm probably going to need to eventually estimate some models using Metropolis-Hastings sampling. I understand the basic concepts, and the software I use (R) has ...

The second call of module LIK produces the average log likelihood function with the given initial conditions: Z0=0 and VZ0= 10-3 I. You can notice a sizable difference between the uncertain initial ...

Let be the maximum likelihood estimate (MLE) of a parameter vector and let be the log-likelihood function defined for parameter values . The profile-likelihood method reduces to a function of a single ...

The log likelihood is a weighted sum of neuronal responses, where the weight of each neuron is determined by the log of its own tuning function; for the case of motion, this is a cosinusoidal ...

WILLIAM H. GREENE, Simulated Likelihood Estimation of the Normal-Gamma Stochastic Frontier Function, Journal of Productivity Analysis, Vol. 19, No. 2/3 (April, 2003), ... However, several attempts to ...