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ORCIDComputational Statistics & Data Analysis, Volume 93
Volume 93, January 2016
- Erricos John Kontoghiorghes
:
CSDA Special Issues. 1
- John Hinde, Salvatore Ingrassia, Tsung-I Lin, Paul D. McNicholas:
The Third Special Issue on Advances in Mixture Models. 2-4
- Luca Scrucca:
Identifying connected components in Gaussian finite mixture models for clustering. 5-17 - Adrian O'Hagan, Thomas Brendan Murphy, Isobel Claire Gormley, Paul D. McNicholas, Dimitris Karlis:
Clustering with the multivariate normal inverse Gaussian distribution. 18-30 - Volodymyr Melnykov:
Model-based biclustering of clickstream data. 31-45 - Daniel Fernández, Richard Arnold, Shirley Pledger:
Mixture-based clustering for the ordered stereotype model. 46-75 - Hien Duy Nguyen, Geoffrey J. McLachlan, Ian A. Wood:
Mixtures of spatial spline regressions for clustering and classification. 76-85 - Adam Ciarleglio, R. Todd Ogden:
Wavelet-based scalar-on-function finite mixture regression models. 86-96 - Panagiotis Papastamoulis, Marie-Laure Martin-Magniette, Cathy Maugis-Rabusseau:
On the estimation of mixtures of Poisson regression models with large number of components. 97-106 - Chew-Seng Chee, Yong Wang:
Nonparametric estimation of species richness using discrete k-monotone distributions. 107-118 - Xiaosun Lu, Yangxin Huang, Yiliang Zhu:
Finite mixture of nonlinear mixed-effects joint models in the presence of missing and mismeasured covariate, with application to AIDS studies. 119-130 - Danilo Bolano, André Berchtold:
General framework and model building in the class of Hidden Mixture Transition Distribution models. 131-145 - Grant B. Morgan, Kari J. Hodge, Aaron R. Baggett:
Latent profile analysis with nonnormal mixtures: A Monte Carlo examination of model selection using fit indices. 146-161 - Qiang Wu, Weixin Yao:
Mixtures of quantile regressions. 162-176 - Hien Duy Nguyen, Geoffrey J. McLachlan:
Laplace mixture of linear experts. 177-191 - Amay S. M. Cheam, Paul D. McNicholas:
Modelling receiver operating characteristic curves using Gaussian mixtures. 192-208 - Miguel González, Carmen Minuesa, Ines del Puerto:
Maximum likelihood estimation and expectation-maximization algorithm for controlled branching processes. 209-227 - Xiaoling Dou, Satoshi Kuriki, Gwo Dong Lin, Donald St. P. Richards:
EM algorithms for estimating the Bernstein copula. 228-245 - Clare A. McGrory, Anthony N. Pettitt, D. M. Titterington, Clair L. Alston, Matt Kelly:
Transdimensional sequential Monte Carlo using variational Bayes - SMCVB. 246-254
- Somnath Datta, María del Carmen Pardo, Thomas H. Scheike, Kam Chuen Yuen:
Special issue on advances in survival analysis. 255-256
- Tao Hu, Liming Xiang:
Partially linear transformation cure models for interval-censored data. 257-269 - Vincent Bremhorst, Philippe Lambert:
Flexible estimation in cure survival models using Bayesian P-splines. 270-284 - Junshan Shen, Kam Chuen Yuen, Catherine Chunling Liu:
Empirical likelihood confidence regions for one- or two- samples with doubly censored data. 285-293 - Carla Moreira, Jacobo de Uña-Álvarez, Luís Meira-Machado:
Nonparametric regression with doubly truncated data. 294-307 - Majda Talamakrouni, Ingrid Van Keilegom, Anouar El Ghouch:
Parametrically guided nonparametric density and hazard estimation with censored data. 308-323 - Klaus K. Holst, Thomas H. Scheike, Jacob v. B. Hjelmborg:
The liability threshold model for censored twin data. 324-335 - Peng Luo, Zhi Geng:
Causal mediation analysis for survival outcome with unobserved mediator-outcome confounders. 336-347 - Yanqing Sun, Mei Li, Peter B. Gilbert:
Goodness-of-fit test of the stratified mark-specific proportional hazards model with continuous mark. 348-358 - Julyan Arbel, Antonio Lijoi, Bernardo Nipoti:
Full Bayesian inference with hazard mixture models. 359-372 - Paola M. V. Rancoita, Marco Zaffalon, Emanuele Zucca, Francesco Bertoni, Cassio P. de Campos:
Bayesian network data imputation with application to survival tree analysis. 373-387
- Michael W. Berry, Jung Jin Lee, Giovanni Montana, Stefan Van Aelst, Ruben H. Zamar:
Special Issue on Advances in Data Mining and Robust Statistics. 388-389
- Ying Cui, Chenlei Leng, Defeng Sun:
Sparse estimation of high-dimensional correlation matrices. 390-403 - Garth Tarr, Samuel Müller, Neville C. Weber:
Robust estimation of precision matrices under cellwise contamination. 404-420 - Andreas Alfons, Christophe Croux, Sarah Gelper:
Robust groupwise least angle regression. 421-435 - Matías Salibián Barrera, Stefan Van Aelst, Victor J. Yohai:
Robust tests for linear regression models based on τ-estimates. 436-455 - Thomas Kirschstein, Steffen Liebscher, Giovanni Camillo Porzio, Giancarlo Ragozini:
Minimum volume peeling: A robust nonparametric estimator of the multivariate mode. 456-468 - Wilhelmiina Hämäläinen:
New upper bounds for tight and fast approximation of Fisher's exact test in dependency rule mining. 469-482 - Waldyn G. Martinez, J. Brian Gray:
Noise peeling methods to improve boosting algorithms. 483-497
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