By adopting an MCMC approach to estimation, we provide a flexible environment in which the posterior distribution of arbitrary combinations of parameters, including prediction of new data, can be easily obtained.
In this paper, a new approach to estimation of an amount of energy accumulated in supercapacitors has been presented.
In studies where the purpose of the investigation is to provide estimates of the survival experience for recently diagnosed patients, a period approach to estimation (as opposed to a cohort approach) has been suggested and proven empirically superior [ 8, 9].
In such settings, a general approach to estimation is to solve a regularized convex program (known as a regularized $M$-estimator) which combines a loss function (measuring how well the model fits the data) with some regularization function that encourages the assumed structure.
Following his earlier gem, Street-Fighting Mathematics, Sanjoy Mahajan's new book takes a broad approach to estimation in science and engineering, on topics that range from black bodies to blue skies, from quantum mechanics to ocean waves.
Maximum Likelihood estimation gives a unified approach to estimation, which is well-defined in the case of normal distribution.
We used the first question of the SF-36 as a primary approach to estimation of the patient's HRQOL.
A hierarchical Bayesian approach to estimation is adopted.
This paper develops a pixel-based approach to estimation of solar energy potentials over pitched roofs based on the pretext of architectural design drawings.
