Abstract Analysis of count data is required in many areas of biometric interest. Often the
simple Poisson distribution is not appropriate, since an extra‐number of zero counts occur in …

" Introduction God made the integers, all the rest is the work of man.-Kronecker. This book is
concerned with models of event counts. An event count refers to the number of times an …

I have many persons to thank for their part in the writing of this monograph. First and
foremost, John Grego was responsible for the successful proposal that led to the lecture …

In this article we develop a finite mixture negative binomial count model that accommodates
unobserved heterogeneity in an intuitive and analytically tractable manner. This model, the …

The literature on semiparametric mixture models has flourished over the last decade, both in
applied and theoretical journals. In this paper, we review examples of important areas of …

Nonseparable panel models are important in a variety of economic settings, including
discrete choice. This paper gives identification and estimation results for nonseparable …

This article concerns the greedy learning of gaussian mixtures. In the greedy approach,
mixture components are inserted into the mixture one aftertheother. We propose a heuristic …

Learning a Gaussian mixture with a local algorithm like EM can be difficult because (i) the
true number of mixing components is usually unknown,(ii) there is no generally accepted …

Patients are not alike! This simple truth is often ignored in the analysis of me-cal data, since
most of the time results are presented for the “average” patient. As a result, potential …

Statistical models with latent variables are very popular in the social and behavioral
sciences. Much of this popularity is explained by the contribution these models make to the …