Resource title

Session Clustering Using Mixtures of Proportional Hazards Models

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Resource description

Emanating from classical Weibull mixture models we propose a framework for clustering survival data with various proportionality restrictions imposed. By introducing mixtures of Weibull proportional hazards models on a multivariate data set a parametric cluster approach based on the EM-algorithm is carried out. The problem of non-response in the data is considered. The application example is a real life data set stemming from the analysis of a world-wide operating eCommerce application. Sessions are clustered due to the dwell times a user spends on certain page-areas. The solution allows for the interpretation of the navigation behavior in terms of survival and hazard functions. A software implementation by means of an R package is provided. (authorĀ“s abstract) ; Series: Research Report Series / Department of Statistics and Mathematics

Resource author

Patrick Mair, Marcus Hudec

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Resource language

en

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application/pdf

Resource resource URL

http://epub.wu.ac.at/598/1/document.pdf

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Adapt according to the license agreement. Always reference the original source and author.