期刊： CANADIAN JOURNAL OF STATISTICS-REVUE CANADIENNE DE STATISTIQUE, 2021; 49 (3)
Quantiles and expectiles have been receiving much attention in many areas such as economics, ecology, and finance. By means of L-p optimization, both ......
期刊： CANADIAN JOURNAL OF STATISTICS-REVUE CANADIENNE DE STATISTIQUE, 2021; 49 (3)
The GARCH models are widely used to model various financial data with nonlinearity and heteroscedasticity structures. In this article, we propose a fu......
期刊： CANADIAN JOURNAL OF STATISTICS-REVUE CANADIENNE DE STATISTIQUE, ; ()
The partial autocorrelation function (PACF) is often used in time series analysis to identify the extent of the lag in an autoregressive model. Howeve......
期刊： CANADIAN JOURNAL OF STATISTICS-REVUE CANADIENNE DE STATISTIQUE, ; ()
Subsampling techniques are efficient methods for handling big data. Quite a few optimal sampling methods have been developed for parametric models in ......
期刊： CANADIAN JOURNAL OF STATISTICS-REVUE CANADIENNE DE STATISTIQUE, ; ()
We develop a class of regularization methods based on the penalized sieve least squares for simultaneous model pursuit, variable selection, and estima......
期刊： CANADIAN JOURNAL OF STATISTICS-REVUE CANADIENNE DE STATISTIQUE, ; ()
In the presence of covariate measurement error, there has been extensive interest in developing estimation methods for parameters associated with vari......
期刊： CANADIAN JOURNAL OF STATISTICS-REVUE CANADIENNE DE STATISTIQUE, ; ()
Modelling the covariance matrix of multiple responses in longitudinal data plays a vital role. It is more challenging than its univariate counterpart ......
期刊： CANADIAN JOURNAL OF STATISTICS-REVUE CANADIENNE DE STATISTIQUE, 2021; 49 (1)
This is a discussion of Liu & Zhu (2021), which develops a novel statistical disease mapping framework for neuroimaging data analysis.
期刊： CANADIAN JOURNAL OF STATISTICS-REVUE CANADIENNE DE STATISTIQUE, 2020; 48 (4)
In an attempt to provide a statistical tool for disease screening and prediction, we propose a semiparametric approach to analysis of the Cox proporti......
期刊： CANADIAN JOURNAL OF STATISTICS-REVUE CANADIENNE DE STATISTIQUE, 2020; 48 (4)
The testing problem for the order of finite mixture models has a long history and remains an active research topic. Since Ghosh & Sen (1985) revea......
期刊： CANADIAN JOURNAL OF STATISTICS-REVUE CANADIENNE DE STATISTIQUE, 2020; 48 (3)
This article develops three empirical likelihood (EL) approaches to estimate parameters in nonlinear regression models in the presence of nonignorable......
期刊： CANADIAN JOURNAL OF STATISTICS-REVUE CANADIENNE DE STATISTIQUE, 2020; 48 (3)
In this article, we propose a class of partial deconvolution kernel estimators for the nonparametric regression function when some covariates are meas......
期刊： CANADIAN JOURNAL OF STATISTICS-REVUE CANADIENNE DE STATISTIQUE, 2020; 48 (3)
The additive hazards model is one of the most commonly used regression models in the analysis of failure time data and many methods have been develope......
期刊： CANADIAN JOURNAL OF STATISTICS-REVUE CANADIENNE DE STATISTIQUE, 2019; 47 (2)
Missing observations due to non-response are commonly encountered in data collected from sample surveys. The focus of this article is on item non-resp......
期刊： CANADIAN JOURNAL OF STATISTICS-REVUE CANADIENNE DE STATISTIQUE, 2019; 47 (2)
We consider estimating the mode of a response given an error-prone covariate. It is shown that ignoring measurement error typically leads to inconsist......
