Abstract: A maximum likelihood for Bayesian estimator based on /spl alpha/-stable is discussed. Closer to a realistic situation, and unlike previous methods used for the Bayesian estimator, for the ...

Center on Stochastic Modeling, Optimization, and Statistics (COSMOS), The University of Texas at Arlington, Arlington, USA. 2. The Standard and MLE P-Values The notion of P-value is a fundamental tool ...

"Parameter Inference" is one of the most important concepts of predictive machine learning. In this lesson, you will begin to build an intuition surrounding the ideas around this concept. You'll first ...

A random sample of curves can be usually thought of as noisy realisations of a compound stochastic process X(t) = Z{W(t)}, where Z(t) produces random amplitude variation and W(t) produces random ...

The following data are taken from Lawless (1982, p.193) and represent the number of days it took rats painted with a carcinogen to develop carcinoma. The last 2 observations are censored data from a ...

This is a preview. Log in through your library . Abstract This article considers semiparametric estimation in logistic regression with missing covariates. In a ...