Showing 1 - 10 of 2,555
Persistent link: https://www.econbiz.de/10010342686
clustering models based on Gaussian mixture models (GMMs) which are fitted with the use of the recently developed variational ….e., the temporal usage behaviour, and developing clustering algorithms suitable for high dimensional data based on the use of …
Persistent link: https://www.econbiz.de/10009438102
Ranked preference data arise when a set of judges rank, in order of their preference, a set of objects. Such data arise in preferential voting systems and market research surveys. Covariate data associated with the judges are also often recorded. Such covariate data should be used in conjunction...
Persistent link: https://www.econbiz.de/10009475695
A mixture of latent trait models with common slope parameters for model-based clustering of high-dimensional binary … data, a data type for which few established methods exist, is proposed. Recent work on clustering of binary data, based on …
Persistent link: https://www.econbiz.de/10011209621
solutions to this problem and are effective in higher dimensions. We use mixture model-based clustering applications to …
Persistent link: https://www.econbiz.de/10010846120
Gaussian and t-distribution analogues, mixtures of skew-t factor analyzers are very well-suited for model-based clustering of … data, giving superior clustering results when compared to a well-established family of Gaussian mixture models. …
Persistent link: https://www.econbiz.de/10010871318
estimate of the posterior distribution of the clustering of the random-effects parameters, we consider the partition minimizing …
Persistent link: https://www.econbiz.de/10010794868
Using firm-level data for Belgium, we study the validity of Hicks neutrality in several sectors that cover the spectrum of knowledge intensity. We find that Hicks neutrality is clearly not supported by the data in different sectors. The results are not sensitive to altering the specification of...
Persistent link: https://www.econbiz.de/10011588356
This paper extends the existing fully parametric Bayesian literature on stochastic volatility to allow for more general return distributions. Instead of specifying a particular distribution for the return innovation, we use nonparametric Bayesian methods to flexibly model the skewness and...
Persistent link: https://www.econbiz.de/10010292240
We use a panel of European firms to investigate the relationship between intangible assets and productivity. We disentangle between tfp and technology adoption, while available studies so far have considered only a notion of productivity conflating the two effects. To this aim, we estimate...
Persistent link: https://www.econbiz.de/10010294338