Statistical methods & applications : Journal of the Italian Statistical Society - 2018
Risultato della ricerca: (43 titoli )
Bayesian analysis of dynamic panel data by penalized quantile regression |
Statistical methods & applications : Journal of the Italian Statistical Society - 2018
Dynamic factor analysis for short panels: estimating performance trajectories for water utilities |
Statistical methods & applications : Journal of the Italian Statistical Society - 2018
Effect of autocorrelation when estimating the trend of a time series via penalized least squares with controlled smoothness |
Statistical methods & applications : Journal of the Italian Statistical Society - 2018
Evaluation of long-term health care services through a latent Markov model with covariates |
Statistical methods & applications : Journal of the Italian Statistical Society - 2018
Likelihood-based risk estimation for variance-gamma models |
Statistical methods & applications : Journal of the Italian Statistical Society - 2018
The Tempered Discrete Linnik distribution |
Statistical methods & applications : Journal of the Italian Statistical Society - 2018
Testing for sub-models of the skew t-distribution |
Statistical methods & applications : Journal of the Italian Statistical Society - 2018
Two-scale spatial models for binary data |
Statistical methods & applications : Journal of the Italian Statistical Society - 2018
Adjusted blockwise empirical likelihood for long memory time series models |
Statistical methods & applications : Journal of the Italian Statistical Society - 2018
Bayes and maximum likelihood for L1-Wasserstein deconvolution of Laplace mixtures |
Statistical methods & applications : Journal of the Italian Statistical Society - 2018
Computational challenges and temporal dependence in Bayesian nonparametric models |
Statistical methods & applications : Journal of the Italian Statistical Society - 2018
Decomposition of cumulative chi-squared statistics, with some new tools for their interpretation |
Statistical methods & applications : Journal of the Italian Statistical Society - 2018
Discussion of "Nonparametric Bayesian Inference in Applications": Bayesian nonparametric methods in econometrics |
Statistical methods & applications : Journal of the Italian Statistical Society - 2018
Discussion of paper "nonparametric Bayesian inference in applications" by Peter Müller, Fernando A. Quintana and Garritt L. Page |
Statistical methods & applications : Journal of the Italian Statistical Society - 2018
Discussion on the paper by Peter Müller, Fernando A. Quintana, and Garritt L. Page |
Statistical methods & applications : Journal of the Italian Statistical Society - 2018
More nonparametric Bayesian inference in applications |
Statistical methods & applications : Journal of the Italian Statistical Society - 2018
Multiplicative bias correction for discrete kernels |
Statistical methods & applications : Journal of the Italian Statistical Society - 2018
Nonparametric Bayesian inference in applications |
Statistical methods & applications : Journal of the Italian Statistical Society - 2018
Objective Bayesian analysis for the multivariate skew-t model |
Statistical methods & applications : Journal of the Italian Statistical Society - 2018
Asymptotics of the weighted least squares estimation for AR(1) processes with applications to confidence intervals |
Statistical methods & applications : Journal of the Italian Statistical Society - 2018
Clustering of financial instruments using jump tail dependence coefficient |
Statistical methods & applications : Journal of the Italian Statistical Society - 2018
Modelling of low count heavy tailed time series data consisting large number of zeros and ones |
Statistical methods & applications : Journal of the Italian Statistical Society - 2018
Most stable sample size determination in clinical trials |
Statistical methods & applications : Journal of the Italian Statistical Society - 2018
A note on variable selection in functional regression via random subspace method |
Statistical methods & applications : Journal of the Italian Statistical Society - 2018
On multivariate quantile regression analysis |
Statistical methods & applications : Journal of the Italian Statistical Society - 2018
On score vector- and residual-based CUSUM tests in ARMA–GARCH models |
Statistical methods & applications : Journal of the Italian Statistical Society - 2018
Prognostic assessment of repeatedly measured time-dependent biomarkers, with application to dilated cardiomyopathy |
Statistical methods & applications : Journal of the Italian Statistical Society - 2018
Quis custiodet ipsos custodes? How to detect and correct teacher cheating in Italian student data |
Statistical methods & applications : Journal of the Italian Statistical Society - 2018
Box–Cox t random intercept model for estimating usual nutrient intake distributions |
Statistical methods & applications : Journal of the Italian Statistical Society - 2018
Comments on "The power of monitoring: how to make the most of a contaminated multivariate sample" |
Statistical methods & applications : Journal of the Italian Statistical Society - 2018
Discussion of "The power of monitoring: how to make the most of a contaminated multivariate sample" |
Statistical methods & applications : Journal of the Italian Statistical Society - 2018
Discussion of "The power of monitoring: how to make the most of a contaminated multivariate sample" |
Statistical methods & applications : Journal of the Italian Statistical Society - 2018
Discussion of "The power of monitoring: how to make the most of a contaminated multivariate sample" |
Statistical methods & applications : Journal of the Italian Statistical Society - 2018
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 |
Statistical methods & applications : Journal of the Italian Statistical Society - 2018
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 |
Statistical methods & applications : Journal of the Italian Statistical Society - 2018
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 |
Statistical methods & applications : Journal of the Italian Statistical Society - 2018
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 |
Statistical methods & applications : Journal of the Italian Statistical Society - 2018
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 |
Statistical methods & applications : Journal of the Italian Statistical Society - 2018
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 |
Statistical methods & applications : Journal of the Italian Statistical Society - 2018
The power of monitoring: how to make the most of a contaminated multivariate sample |
Statistical methods & applications : Journal of the Italian Statistical Society - 2018
Rejoinder to the discussion of "The power of monitoring: how to make the most of a contaminated multivariate sample" |
Statistical methods & applications : Journal of the Italian Statistical Society - 2018
Testing for an excessive number of zeros in time series of bounded counts |
Statistical methods & applications : Journal of the Italian Statistical Society - 2018
Wavelet regression estimations with strong mixing data |
Statistical methods & applications : Journal of the Italian Statistical Society - 2018