Sentence examples for maximum likelihood parameter from inspiring English sources

The distribution parameters are estimated using the maximum likelihood parameter estimation method.

A commonly used HMM-based synthesis is also performed with a Maximum Likelihood Parameter Generation algorithm for smoothing.

During synthesis, all parameter streams were generated through the standard maximum likelihood parameter generation procedure with global variance enhancement.

The estimators within the multivariate analyses were calculated by using MLR (maximum likelihood parameter estimation; ibid., p. 484).

We show that the maximum likelihood parameter estimation of the model leads to the two-dimensional canonical correlation directions.

This estimator is then conveniently applied to maximum likelihood parameter estimation in nonlinear dynamical systems with measurements corrupted by output additive auto and crosscorrelated noise.

This approach is based on the Expectation-Maximization (EM) algorithm, a well-known iterative procedure for solving maximum likelihood parameter estimation.

Maximum likelihood parameter estimates from the logistic regression models were used to calculate adjusted odds ratios (aOR) and 95% Wald CIs.

See [7, Chapters 10 and 11], [19, 23, 24, 31] for further references on the use of these smoothed expectations of additive functionals applied to maximum likelihood parameter inference in latent data models.

Therefore, the maximum-likelihood parameter estimation can be obtained.

The maximum-likelihood parameter estimation is to specify and to maximize the log-likelihood function in (17).