[PDF][PDF] CER-ETH–Center of Economic Research at ETH Zurich

A Martinez-Cruz - 2016 - academia.edu
Hurdle and zero-inflated models are the two foremost methods used to deal with excess
zeros. However, their reliance on the nonparticipation assumption is a drawback when …

[PDF][PDF] Estimating the parameters of a k-finite Poisson mixture is not easy.

D Karlis, E Xekalaki - stat-athens.aueb.gr
However, the development of the EM algorithm for finite mixtures simplified the derivation of
the maximum likelihood estimates. In this paper an improvement of the standard EM …

[PDF][PDF] An EM-VDM algorithm for Gaussian

NVA Likas - cs.uoi.gr
We propose an algorithm for Gaussian mixture modeling with un-known number of mixing
components that combines the EM and the VDM algorithm (Lindsay, 1983). In contrast to …

A flexible bivariate location-scale finite mixture approach to economic growth

A Marcelletti, A Maruotti, G Trovato - arXiv preprint arXiv:1410.4732, 2014 - arxiv.org
We introduce a multivariate multidimensional mixed-effects regression model in a finite
mixture framework. We relax the usual unidimensionality assumption on the random effects …

Parameterizing mixture models with generalized moments

Z Huang, P Marriott - Annals of the Institute of Statistical Mathematics, 2016 - Springer
This paper considers a new way of parameterizing mixture models where parameters are
interpreted as the generalized moments of the mixing distribution. Following a …

[PDF][PDF] Pemetaan Kes Kemortalan Bayi di Semenanjung Malaysia Menggunakan Kaedah Bayes Empirik

NA Rahman, AA Jemain - Sains Malaysiana, 2011 - ukm.my
Kajian ini bertujuan untuk memetakan kes kemortalan bayi mengikut daerah di
Semenanjung Malaysia bagi tahun 1991 hingga 2000. Penganggaran risiko relatif …

Modèles conjoints pour données longitudinales et données de survie incomplètes appliqués à l'étude du vieillissement cognitif

E Dantan - 2009 - nantes-universite.hal.science
Dans l'étude du vieillissement cérébral, le suivi des personnes âgées est soumis à une forte
sélection avec un risque de décès associé à de faibles performances cognitives. La …

[PDF][PDF] COMPUTATION OF NONPARAMETRIC CONVEX HAZARD ESTIMATORS VIA PROFILE METHODS TECHNICAL REPORT 542

HK JANKOWSKI, J WELLNER - 2008 - yorku.ca
In this paper we develop an algorithm to find the maximum likelihood estimator of a convex
hazard function. The maximization is done in two steps. First, we use the support reduction …

Flexible Parametric Models for Long-Tailed Patent Count Distributions

PK Trivedi, JQ Guo - Available at SSRN 303921, 2000 - papers.ssrn.com
This article explores alternative approaches to modeling the relationship between the
number of patents and research and development expenditure. Patent counts typically …

[图书][B] Species problem for censored data and the applications in bioinformatics

J Liu - 2007 - search.proquest.com
The species problem is important and has wide applications. Estimating the number of
species in a population based on a random sample of individuals has been thoroughly …