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Non-parametric Tests
An introduction to non-parametric tests. The specific cases of the Wilcoxon signed-rank test and the Wilcoxon rank-sum test. An introduction to...
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Spatial regression with non-parametric modeling of Fourier coefficients
We consider modeling of Fourier coefficients, known as a spectral density function to represent spatial dependence of a stationary spatial random...
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Non-parametric comparison and classification of two large-scale populations
In this paper, we investigate a non-parametric approach to compare two groups in microarray data. This is done using a threshold penalized-distance...
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Non-parametric Frailty Model for the Natural History of Prostate Cancer; Using Data from a Screening Trial
Mixed-effects models for survival, known as frailty models, can be used to capture individual or cluster-specific unobserved heterogeneity. A common...
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A Non-parametric Test Based on Local Pairwise Comparisons of Patients for Single and Composite Endpoints
In this article, we propose a method for adjusting for key prognostic factors in conducting a class of non-parametric tests based on pairwise...
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Variational Bayesian Lasso for spline regression
This work presents a new scalable automatic Bayesian Lasso methodology with variational inference for non-parametric splines regression that can...
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Flexible, non-parametric modeling using regularized neural networks
Non-parametric, additive models are able to capture complex data dependencies in a flexible, yet interpretable way. However, choosing the format of...
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Right-censored nonparametric regression with measurement error
This study focuses on estimating a nonparametric regression model with right-censored data when the covariate is subject to measurement error. To...
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Linear Regression
This chapter covers one of the most valuable tools for people analytics professionals: linear regression. Concepts, assumptions, and step-by-step...
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Non-parametric test of recurrent cumulative incidence functions for competing risks models
Recurrent competing risks data are common in survival studies. In such contexts the effects of competing risks on lifetime outcomes are important...
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Bivariate Analysis of Birth Weight and Gestational Age by Bayesian Distributional Regression with Copulas
We analyze perinatal data including biometric and obstetric information as well as data on maternal smoking, among others. Birth weight is the...
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Empirical likelihood change point detection in quantile regression models
Quantile regression is an extension of linear regression which estimates a conditional quantile of interest. In this paper, we propose an empirical...
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Two-stage regression spline modeling based on local polynomial kernel regression
This paper introduces a new nonparametric estimator of the regression based on local quasi-interpolation spline method. This model combines a...
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A series of two-sample non-parametric tests for quantile residual life time
Quantile residual lifetime (QRL) is of significant interest in many clinical studies as an easily interpretable quantity compared to other summary...
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Variable Selection in Binary Logistic Regression for Modelling Bankruptcy Risk
One of the most fascinating areas of study in the current economic and financial world is the forecasting of credit risk and the ability to predict a...
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Regression with Variable Dimension Covariates
Regression is one of the most fundamental statistical inference problems. A broad definition of regression problems is as estimation of the...
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A multivariate Jacobi polynomials regression estimator associated with an ANOVA decomposition model
In this work, we construct a stable and fairly fast estimator for solving multidimensional non-parametric regression problems. The proposed estimator...
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Pseudo-value regression trees
This paper presents a semi-parametric modeling technique for estimating the survival function from a set of right-censored time-to-event data. Our...
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Robust and sparse logistic regression
Logistic regression is one of the most popular statistical techniques for solving (binary) classification problems in various applications (e.g....
