Nature

Bayesian Estimation and Maximum Likelihood Methods

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

Asymptotic Properties of the Maximum-Likelihood Estimator for a Class of Birth-and-Death Processes Admitting a Unique Stationary Distribution

The Canadian Journal of Statistics / La Revue Canadienne de Statistique, Vol. 11, No. 2 (Jun., 1983), pp. 109-118 (10 pages) The asymptotic properties of the maximum-likelihood estimator of the ...
JSTOR Daily

Maximum Likelihood Estimation of Star and Star-Garch Models: Theory and Monte Carlo Evidence

Journal of Applied Econometrics, Vol. 17, No. 5, Special Issue: Modelling and Forecasting Financial Volatility (Sep. - Oct., 2002), pp. 509-534 (26 pages) Theoretical and practical interest in ...
Insurancenewsnet.com

New Findings Reported from University of Paris 09 Describe Advances in Computational Statistics (Closed-form Maximum Likelihood Estimator for Generalized Linear Models In the ...

2021 FEB 08 (NewsRx) -- By a News Reporter-Staff News Editor at Insurance Daily News-- Researchers detail new data in Mathematics - Computational Statistics. According to news reporting from Paris, ...
Nature

Handling missing values in population data: consequences for maximum likelihood estimation of haplotype frequencies

Haplotype frequency estimation in population data is an important problem in genetics and different methods including expectation maximisation (EM) methods have been proposed. The statistical ...