… tension of Fuh (2003) for finite state space in which the likelihood function can be
expressed as the L1-norm of products of Markovian random matrices. Note that Mn defined …

… Problem 2.2. Harris recurrence of iterated function. This paper is an ex tension of Fuh (2003)
for finite state space in which the likelihood function can be expressed as the Li-norm of …

… The rigorous proofs of these results will be given in a separate paper. Let X = {Xn,n ≥ 0}
be a Markov chain on a general state space X, with transition probability kernel Pθ(x, ·) = Pθ{X1 …

… other means, asymptotic normality and efficiency of the non-parametric maximum likelihood
… 16 Non-parametric maximum likelihood estimators 99 In this first part of the paper we give a …

… of this paper is a vastly more efficient algorithm for … of a physical process in response to a
K x 1 vector zt of weakly … maximum likelihood estimation procedures presented in this paper …

… paper is about reliable and efficient computation of likelihood-based smoothing parameter
estimates in … Consider a GLM in which n independent univariate response variables y i , with …

… In this paper, we focus on estimation of migration rates and population sizes while … This MH
sampler will converge to the correct answer when run for an infinitely long time, but of course …

… basis for the estimation method developed in this paper, the … This paper focuses on application
of MSM to discrete response … likelihood estimator for 0, and hence asymptotically efficient. …

… In this paper, a state-space approach is used for tracking the dynamic radio propagation …
array responses are calculated from antenna calibration measurements using the effective …

… ); efficiency (lowest-possible variance of parameter estimates … tutorial paper, I introduce the
maximum likelihood estimation … such as proportion correct and response time. An implication …