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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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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 …
Persistent link: https://www.econbiz.de/10011343931
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...
Persistent link: https://www.econbiz.de/10012302505
Diagnosing foehn winds from weather station data downwind of topographic obstacles requires distinguishing them from other downslope winds, particularly nocturnal ones driven by radiative cooling. We present an automatic classification scheme to obtain reproducible results that include...
Persistent link: https://www.econbiz.de/10009793089
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 …
Persistent link: https://www.econbiz.de/10010268429
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