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Connecting the multivariate partial least squares with canonical analysis: a path-following approach
Despite the fact that the regularisation of multivariate methods is a well-known and widely used statistical procedure, very few studies have...
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An empirical comparison of generalized structured component analysis and partial least squares path modeling under variance-based structural equation models
Generalized structured component analysis (GSCA) and partial least squares path modeling (PLSPM) are component-based, or also called variance-based,...
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A difference-based method for testing no effect in nonparametric regression
The paper proposes a novel difference-based method for testing the hypothesis of no relationship between the dependent and independent variables. We...
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CPclus: Candecomp/Parafac Clustering Model for Three-Way Data
A novel clustering model, CPclus, for three-way data concerning a set of objects on which variables are measured by different subjects is proposed....
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Fundamentals of Prediction
This chapter provides an overview of prediction with examples taken from quantitative genetics. The first part summarises best prediction and best...
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A semiparametric multiply robust multiple imputation method for causal inference
Evaluating the impact of non-randomized treatment on various health outcomes is difficult in observational studies because of the presence of...
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Inequality Restricted Least Squares (IRLS) Model of Real Estate Prices
The aim of the paper is develo** an econometric model that may support the process of real estate mass appraisal. The research hypothesis assumes...
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Quantile Composite-Based Path Modeling with R: A Hands-on Guide
The aim of the chapter is to provide step-by-step instructions to implement, estimate, and interpret a Quantile Composite-based Path Model,...
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VC: a method for estimating time-varying coefficients in linear models
This paper describes a moments estimator for a standard state-space model with coefficients generated by a random walk. The method calculates the...
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Oracle-efficient M-estimation for single-index models with a smooth simultaneous confidence band
Single-index models are important and popular semiparametric models, as they can handle the problem of the “curse of dimensionality” and enjoy the...
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The Second-Order Asymptotic Properties of Asymmetric Least Squares Estimation
The higher-order asymptotic properties provide better approximation of the bias for a class of estimators. The first-order asymptotic properties of...
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A semiparametric dynamic higher-order spatial autoregressive model
Conventional higher-order spatial autoregressive models assume that all regression coefficients are constant, which ignores dynamic feature that may...
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Efficient Improved Estimation Method for Non-Gaussian Regression from Discrete Data
We study a robust adaptive nonparametric estimation problem for periodic functions observed in discrete fixed time moments with non-Gaussian...
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An effective method for identifying clusters of robot strengths
In the analysis of qualification stage data from FIRST Robotics Competition (FRC) championships, the ratio (1.67–1.68) of the number of observations...
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A between-cluster approach for clustering skew-symmetric data
In order to investigate exchanges between objects, a clustering model for skew-symmetric data is proposed, which relies on the between-cluster...
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Unrestricted permutation forces extrapolation: variable importance requires at least one more model, or there is no free variable importance
This paper reviews and advocates against the use of permute-and-predict (PaP) methods for interpreting black box functions. Methods such as the...
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Statistical Methods for Selective Biomarker Testing
Biomarkers are critically important tools in modern clinical diagnosis, prognosis, and classification/prediction. However, there are fiscal and...
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Robust and Efficient derivative estimation under correlated errors
In real applications, the correlated data are commonly encountered. To model such data, many techniques have been proposed. However, of the developed...
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On a Generalization of Gompertz Distribution and its Applications
Gompertz distribution was proposed by Gompertz in 1825 and he showed that age specific mortality rates increase exponentially with age over much of...
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A method of correction for hea** error in the variables using validation data
When self-reported data are used in statistical analysis to estimate the mean and variance, as well as the regression parameters, the estimates tend,...
