Bayesian estimation and maximum likelihood methods represent two central paradigms in modern statistical inference. Bayesian estimation incorporates prior beliefs through Bayes’ theorem, updating ...

Journal of the Royal Statistical Society. Series B (Statistical Methodology), Vol. 63, No. 2 (2001), pp. 243-259 (17 pages) The analysis of a sample of curves can be done by self-modelling regression ...

The Annals of Statistics, Vol. 21, No. 3 (Sep., 1993), pp. 1567-1590 (24 pages) We study in detail asymptotic properties of maximum likelihood estimators of parameters when observations are taken from ...

We present a maximum-likelihood method for parameter estimation in terahertz time-domain spectroscopy. We derive the likelihood function for a parameterized frequency response function, given a pair ...

Accurately determining the state of health (SOH) not only helps determine the need for battery replacement but also enhances the accuracy of estimating other important variables such as the State of ...