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Two approaches for model-based clustering of categorical time series based on time- homogeneous first-order Markov … chains are discussed. For Markov chain clustering the in- dividual transition probabilities are fixed to a group …-specific transition matrix. In a new approach called Dirichlet multinomial clustering the rows of the individual transition matri- ces …
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The inhomogeneity of the cross-sectional distribution of realized assets’ volatility is explored and used to build a novel class of GARCH (Generalized Autoregressive Conditional Heteroskedasticity) models. The inhomogeneity of the cross-sectional distribution of realized volatility is captured...
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model-based clustering strategy in order to differentiate the population based on the level of energy-related financial … meaning and provides support to the model-based clustering approach as a sophisticated alternative. This could be a useful …
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We deal with two-way contingency tables having ordered column categories. We use a row effects model wherein each interaction term is assumed to have a multiplicative form involving a row effect parameter and a fixed column score. We propose a methodology to cluster row effects in order to...
Persistent link: https://www.econbiz.de/10010326091
the hierarchy on the variance decomposition and the clustering effects have not been well documented. This paper discusses … how omitting one level in three-level models affects the variance decomposition and clustering in the resulting two …
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