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On clustering procedures and nonparametric mixture estimation
Auray, Stéphane; Klutchnikoff, Nicolas; Rouvière, Laurent - 2013
Persistent link: https://www.econbiz.de/10010342686
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Clustering ranked preference data using sociodemographic covariates
Gormley, Isobel Claire; Murphy, Thomas Brendan - 2010
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
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New variational Bayesian approaches for statistical data mining : with applications to profiling and differentiating habitual consumption behaviour of customers in the wireless tel...
Wu, Burton - 2011
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
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Estimating common principal components in high dimensions
Browne, Ryan; McNicholas, Paul - In: Advances in Data Analysis and Classification 8 (2014) 2, pp. 217-226
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
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Mixtures of skew-t factor analyzers
Murray, Paula M.; Browne, Ryan P.; McNicholas, Paul D. - In: Computational Statistics & Data Analysis 77 (2014) C, pp. 326-335
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
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Estimation, prediction and interpretation of NGG random effects models: an application to Kevlar fibre failure times
Argiento, Raffaele; Guglielmi, Alessandra; Pievatolo, … - In: Statistical Papers 55 (2014) 3, pp. 805-826
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
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Model based clustering of high-dimensional binary data
Tang, Yang; Browne, Ryan P.; McNicholas, Paul D. - In: Computational Statistics & Data Analysis 87 (2015) C, pp. 84-101
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
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Estimating density ratio of marginals to joint : applications to causal inference
Matsushita, Yukitoshi; Otsu, Taisuke; Takahata, Keisuke - 2022
Persistent link: https://www.econbiz.de/10012806699
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Sieve bootstrap inference for time-varying coefficient models
Friedrich, Marina; Lin, Yicong - 2021
We propose a sieve bootstrap framework to conduct pointwise and simultaneous inference for time-varying coefficient regression models based on a nonparametric local linear estimator. The asymptotic validity of the sieve bootstrap in the presence of autocorrelation is established. We find that it...
Persistent link: https://www.econbiz.de/10012795376
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Econometrics of auctions and nonlinear pricing
Perrigne, Isabelle; Vuong, Quang H. - In: Annual review of economics 11 (2019), pp. 27-54
Persistent link: https://www.econbiz.de/10012623369