Local Statistical Modeling via Cluster-Weighted Approach with Elliptical Distributions

Salvatore Ingrassia (), Simona Caterina Minotti () and Giorgio Vittadini ()
Additional contact information
Simona Caterina Minotti: Dipartimento di Statistica, Università degli Studi di Milano-Bicocca

No 20111001, Working Papers from Università degli Studi di Milano-Bicocca, Dipartimento di Statistica

Abstract: Cluster Weighted Modeling (CWM) is a mixture approach regarding the modelisation of the joint probability of data coming from a heterogeneous population. Under Gaussian assumptions, we investigate statistical properties of CWM from both the theoretical and numerical point of view; in particular, we show that CWM includes as special cases mixtures of distributions and mixtures of regressions. Further, we introduce CWM based on Student-t distributions providing more robust fitting for groups of observations with longer than normal tails or atypical observations. Theoretical results are illustrated using some empirical studies, considering both real and simulated data.

Keywords: Cluster-Weighted Modeling; Mixture Models; Model-Based Clustering (search for similar items in EconPapers)
Pages: 30 pages
Date: 2011-05-28
New Economics Papers: this item is included in nep-ecm and nep-ure
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4) Track citations by RSS feed

Downloads: (external link)
http://www.statistica.unimib.it/utenti/WorkingPapers/WorkingPapers/20111001.pdf Third version, 2011 (application/pdf)
Our link check indicates that this URL is bad, the error code is: 500 Can't connect to www.statistica.unimib.it:80 (A connection attempt failed because the connected party did not properly respond after a period of time, or established connection failed because connected host has failed to respond.)

Related works:
Journal Article: Local Statistical Modeling via a Cluster-Weighted Approach with Elliptical Distributions (2012)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:mis:wpaper:20111001

Access Statistics for this paper

More papers in Working Papers from Università degli Studi di Milano-Bicocca, Dipartimento di Statistica Contact information at EDIRC.
Bibliographic data for series maintained by Matteo Pelagatti ().