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Statistical Methods and Applications, Volume 27
Volume 27, Number 1, March 2018
- Cécile Hardouin
, Noel Cressie
Two-scale spatial models for binary data. 1-24 - Thomas J. DiCiccio, Anna Clara Monti
Testing for sub-models of the skew t-distribution. 25-44 - Lucio Barabesi
The Tempered Discrete Linnik distribution. 45-68 - Marco Bee
Likelihood-based risk estimation for variance-gamma models. 69-89 - Ali Aghamohammadi
Bayesian analysis of dynamic panel data by penalized quantile regression. 91-108 - Víctor M. Guerrero, Daniela Cortés-Toto, Hortensia J. Reyes:
Effect of autocorrelation when estimating the trend of a time series via penalized least squares with controlled smoothness. 109-130 - Nikolaos Zirogiannis, Yorghos Tripodis:
Dynamic factor analysis for short panels: estimating performance trajectories for water utilities. 131-150 - Giorgio Eduardo Montanari
Evaluation of long-term health care services through a latent Markov model with covariates. 151-173
Volume 27, Number 2, June 2018
- Peter Müller, Fernando A. Quintana, Garritt L. Page:
Nonparametric Bayesian inference in applications. 175-206 - Jim E. Griffin
Discussion of "Nonparametric Bayesian Inference in Applications": Bayesian nonparametric methods in econometrics. 207-218 - Athanasios Kottas:
Discussion of paper "nonparametric Bayesian inference in applications" by Peter Müller, Fernando A. Quintana and Garritt L. Page. 219-225 - Seongil Jo, Jaeyong Lee
Discussion on the paper by Peter Müller, Fernando A. Quintana, and Garritt L. Page. 227-230 - Raffaele Argiento, Matteo Ruggiero
Computational challenges and temporal dependence in Bayesian nonparametric models. 231-238 - Michele Guindani
More nonparametric Bayesian inference in applications. 239-251 - Lynda Harfouche, Smail Adjabi
Multiplicative bias correction for discrete kernels. 253-276 - Antonio Parisi
Objective Bayesian analysis for the multivariate skew-t model. 277-295 - Luigi D'Ambra, Pietro Amenta, Antonello D'Ambra:
Decomposition of cumulative chi-squared statistics, with some new tools for their interpretation. 297-318 - Feifan Jiang, Lihong Wang:
Adjusted blockwise empirical likelihood for long memory time series models. 319-332 - Catia Scricciolo:
Bayes and maximum likelihood for L1-Wasserstein deconvolution of Laplace mixtures. 333-362 - Richard William Farebrother:
Correction to: A genealogy of Florence Nightingale, Charles Darwin, Francis Galton and Francis Ysidro Edgeworth with special reference to their Italian connections and an annexe on Beatrice Webb and Charles Booth. 363-364
Volume 27, Number 3, August 2018
- Jean-Paul Chavas:
On multivariate quantile regression analysis. 365-384 - Haejune Oh, Sangyeol Lee:
On score vector- and residual-based CUSUM tests in ARMA-GARCH models. 385-406 - Raju Maiti, Atanu Biswas, Bibhas Chakraborty:
Modelling of low count heavy tailed time series data consisting large number of zeros and ones. 407-435 - Ali Karimnezhad, Ahmad Parsian:
Most stable sample size determination in clinical trials. 437-454 - Lukasz Smaga
A note on variable selection in functional regression via random subspace method. 455-477 - Ruidong Han, Xinghui Wang, Shuhe Hu:
Asymptotics of the weighted least squares estimation for AR(1) processes with applications to confidence intervals. 479-490 - Chen Yang
Clustering of financial instruments using jump tail dependence coefficient. 491-513 - Sergio Longobardi
Quis custiodet ipsos custodes? How to detect and correct teacher cheating in Italian student data. 515-543 - Giulia Barbati
Prognostic assessment of repeatedly measured time-dependent biomarkers, with application to dilated cardiomyopathy. 545-557
Volume 27, Number 4, December 2018
- Andrea Cerioli
The power of monitoring: how to make the most of a contaminated multivariate sample. 559-587 - Jakob Raymaekers
Discussion of "The power of monitoring: how to make the most of a contaminated multivariate sample". 589-594 - Stephane Heritier
Discussion of "The power of monitoring: how to make the most of a contaminated multivariate sample" by Andrea Cerioli, Marco Riani, Anthony C. Atkinson and Aldo Corbellini. 595-602 - Ricardo A. Maronna, Victor J. Yohai:
Discussion of "The power of monitoring: how to make the most of a contaminated multivariate sample" by Andrea Cerioli, Marco Riani, Anthony C. Atkinson and Aldo Corbellini. 603-604 - Luis Angel García-Escudero, Alfonso Gordaliza
Comments on "The power of monitoring: how to make the most of a contaminated multivariate sample". 605-608 - Claudio Agostinelli, Luca Greco
Discussion of "The power of monitoring: how to make the most of a contaminated multivariate sample" by Andrea Cerioli, Marco Riani, Anthony C. Atkinson and Aldo Corbellini. 609-619 - Christophe Croux
Discussion of "The power of monitoring: how to make the most of a contaminated multivariate sample" by Andrea Cerioli, Marco Riani, Anthony C. Atkinson and Aldo Corbellini. 621-623 - Simon J. Sheather
Discussion of "The power of monitoring: how to make the most of a contaminated multivariate sample". 625-629 - Valentin Todorov
Discussion of "The power of monitoring: how to make the most of a contaminated multivariate sample" by Andrea Cerioli, Marco Riani, Anthony C. Atkinson and Aldo Corbellini. 631-639 - Domenico Perrotta
Discussion of "The power of monitoring: how to make the most of a contaminated multivariate sample". 641-649 - Alessio Farcomeni
The power of (extended) monitoring in robust clustering - Discussion of "The power of monitoring: how to make the most of a contaminated multivariate sample" by Andrea Cerioli, Marco Riani, Anthony C. Atkinson and Aldo Corbellini. 651-660 - Andrea Cerioli
Rejoinder to the discussion of "The power of monitoring: how to make the most of a contaminated multivariate sample". 661-666 - Junke Kou
Wavelet regression estimations with strong mixing data. 667-688 - Hee-Young Kim
Testing for an excessive number of zeros in time series of bounded counts. 689-714 - Giovana Fumes-Ghantous
Box-Cox t random intercept model for estimating usual nutrient intake distributions. 715-734
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