Joseph Clayton Schoolar

Maximum Likelihood Estimation ∗ Clayton

This module introduces the maximum likelihood estimator. We show how the MLE implements the likelihood principle. Methods for computing th MLE are covered. Properties of the MLE are discussed including asymptotic e ciency and invariance under reparameterization. The maximum likelihood estimator (MLE) is an alternative to the minimum variance unbiased estimator (MVUE). For many estimation proble...

Nicola S. Clayton

Nicola Clayton is Professor of Comparative Cognition in the Department of Experimental Psychology at the University of Cambridge, and a Fellow of Clare College. Nicky studies the development and evolution of cognition, and the questions she address are informed by an understanding of biology and psychology. Her work has challenged many of the common-held assumptions that only humans can plan fo...

Clayton et al. respond.

Joseph

as good as his little sister Maria. He does nothing but play marbles. I can't even send him to the store because he never brings home what I tell him to." The general tenor of this dissertation was repeated every time I saw her in the future. I devoted my first lesson to letting Joseph read the story of The Little Red Hen, pp. 1-9, Winston Primer. He read with great difficulty, spelling the wor...

Clayton copula and mixture decomposition

A symbolic variable is often described by a histogram. More generally, it can be provided in the form of a continuous distribution. In this case, the problem is to solve the most frequent problem in data mining, namely: to classify the objects starting from the description of the variables in the form of continuous distributions. A solution is to sample each distribution in a number N of points...