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Improved Maximum Likelihood Estimation in a New Class of Beta Regression Models。
Bias Corrected Maximum Likelihood Estimators in Nonlinear Overdispersed Models。
The paper studies large sample asymptotic properties of the Maximum Likelihood Estimator (MLE) for the parameter of a continuous time Markov chain, observed in white noise. Using the method of weak...
This paper develops a bias correction scheme for a multivariate heteroskedastic errors-in-variables model. The applicability of this model is justified in areas such as astrophysics, epidemiology an...
This paper introduces a Monte Carlo method for maximum likelihood inference in the context of discretely observed diffusion processes. The method gives unbiased and a.s. continuous estimators of th...
This paper studies the quasi-maximum-likelihood estimator (QMLE) in a general conditionally heteroscedastic time series model of multiplicative form Xt = tZt, where the unobservable volatility t ...
This expository note describes how to apply the method of maximum likelihood to estimate the parameters of the “q-exponential distributions introduced by Tsallis and collaborators. It also describes...

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