Power Truncated Positive Normal Distribution: A Quantile Regression Approach Applied to Health Databases DOI Creative Commons
Karol I. Santoro,

Hugo Gómez,

Isaac E. Cortés

и другие.

Axioms, Год журнала: 2024, Номер 13(12), С. 811 - 811

Опубликована: Ноя. 21, 2024

In this paper we present a new extension of the truncated positive normal (TPN) model, called power normal. This incorporates shape parameter that provides more flexibility to model. addition, was reparameterized based on p-th quantile distribution in order perform regression. The initial values were calculated from modification moment estimators, which allowed maximum likelihood estimators be obtained. A simulation study carried out suggests good behavior finite samples. Finally, two applications using health databases are presented.

Язык: Английский

New regression model and machine learning for fitting proportional data with application DOI
Gabriela M. Rodrigues, Gauss M. Cordeiro, Edwin M. M. Ortega

и другие.

Statistics, Год журнала: 2025, Номер unknown, С. 1 - 19

Опубликована: Янв. 13, 2025

Язык: Английский

Процитировано

0
A new class of unit models with a quantile regression approach applied to contamination data DOI
Karol I. Santoro, Yolanda M. Gómez,

Hugo Gómez

и другие.

Chemometrics and Intelligent Laboratory Systems, Год журнала: 2025, Номер unknown, С. 105322 - 105322

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0
Partially Functional Linear Regression Based on Gaussian Process Prior and Ensemble Learning DOI Creative Commons

Weice Sun,

Jiaqi Xu, Tao Liu

и другие.

Mathematics, Год журнала: 2025, Номер 13(5), С. 853 - 853

Опубликована: Март 4, 2025

A novel partially functional linear regression model with random effects is proposed to address the case of Euclidean covariates and covariates. Specifically, assumes that follow a Gaussian process prior establish linkage structure between scalar responses. For covariates, relationship responses assumed, are approximated using Karhunen–Loève expansion. To enhance robustness predictive model, cross-validation-based ensemble strategy employed optimize method. Results from both simulation studies real-world data analyses demonstrate superior performance competitiveness approach in terms prediction accuracy stability.

Язык: Английский

Процитировано

0
Estimating and predicting the human development index with uncertain data: a common weight fuzzy benefit-of-the-doubt machine learning approach DOI
Hashem Omrani, Zijiang Yang, Raha Imanirad

и другие.

Annals of Operations Research, Год журнала: 2024, Номер unknown

Опубликована: Июнь 22, 2024

Язык: Английский

Процитировано

1
Power Truncated Positive Normal Distribution: A Quantile Regression Approach Applied to Health Databases DOI Creative Commons
Karol I. Santoro,

Hugo Gómez,

Isaac E. Cortés

и другие.

Axioms, Год журнала: 2024, Номер 13(12), С. 811 - 811

Опубликована: Ноя. 21, 2024

In this paper we present a new extension of the truncated positive normal (TPN) model, called power normal. This incorporates shape parameter that provides more flexibility to model. addition, was reparameterized based on p-th quantile distribution in order perform regression. The initial values were calculated from modification moment estimators, which allowed maximum likelihood estimators be obtained. A simulation study carried out suggests good behavior finite samples. Finally, two applications using health databases are presented.

Язык: Английский

Процитировано

0