xlogit: An open-source Python package for GPU-accelerated estimation of Mixed Logit models
C Arteaga, JW Park, PB Beeramoole, A Paz - Journal of Choice Modelling, 2022 - Elsevier
Mixed Logit is an advanced and flexible tool for the study of discrete choice problems.
However, this flexibility involves computationally intensive calculations, as the estimation of …
However, this flexibility involves computationally intensive calculations, as the estimation of …
Improvements of the Newton–Raphson method
KH Pho - Journal of Computational and Applied Mathematics, 2022 - Elsevier
Abstract The Newton–Raphson (NR) method is one of the most ubiquitous approaches with
several applications in numerous areas to find the optimization solution. It has long been …
several applications in numerous areas to find the optimization solution. It has long been …
On Fractional Newton‐Type Method for Nonlinear Problems
MA Bayrak, A Demir, E Ozbilge - Journal of Mathematics, 2022 - Wiley Online Library
The current manuscript is concerned with the development of the Newton–Raphson method,
playing a significant role in mathematics and various other disciplines such as optimization …
playing a significant role in mathematics and various other disciplines such as optimization …
[PDF][PDF] Applications of the Newton-Raphson method in decision sciences and education
BC Truong, N Van Thuan, NH Hau… - Advances in Decision …, 2019 - drive.google.com
Abstract The Newton-Raphson (NR) method is one of the most important and popular
methods to determine an optimal solution in many applications in the decision sciences and …
methods to determine an optimal solution in many applications in the decision sciences and …
Pearson chi-squared and unweighted residual sum of square tests of fit for a probit model
KH Pho, BC Truong - Communications in Statistics-Simulation and …, 2023 - Taylor & Francis
Likewise the logistic model and the probit model is often used to consider the associations
between a dichotomous dependent variable and some covariates. The probit model is a …
between a dichotomous dependent variable and some covariates. The probit model is a …
The Zero-Inflated Poisson-Probit regression model: a new model for count data
KH Pho, BC Truong - Communications in Statistics-Simulation and …, 2024 - Taylor & Francis
This paper wishes to propose a new model for count data and it is shortly called a Zero-
Inflated Poisson-Probit (ZIP-P) model. The way of setting up for this new model is also based …
Inflated Poisson-Probit (ZIP-P) model. The way of setting up for this new model is also based …
Review of matrix theory with applications in education and decision sciences
NH Hau, TT Tinh, HA Tuong… - Advances in Decision …, 2020 - search.proquest.com
Matrix theory plays a very important role in teaching Mathematics and solving mathematical
problems. Studying the theory of matrix can help academics, practitioners, and students …
problems. Studying the theory of matrix can help academics, practitioners, and students …
Comparison of the Performance of the Gradient and Newton-Raphson Method to Estimate Parameters in Some Zero-Inflated Regression Models
KH Pho, BC Truong - Journal of Advanced Engineering and Computation, 2020 - jaec.vn
This paper compares the performance of the gradient and Newton-Raphson (NR) method to
estimate parameters in some zero-inflated (ZI) regression models such as the zero-inflated …
estimate parameters in some zero-inflated (ZI) regression models such as the zero-inflated …
[PDF][PDF] ΑΔΣ
M McAleer - 2020 - pure.eur.nl
ΑΔΣ Page 1 ΑΔΣ Advances in Decision Sciences Volume 25 Issue 1 March 2021 Michael
McAleer Editor-in-Chief University Chair Professor Asia University, Taiwan Published by Asia …
McAleer Editor-in-Chief University Chair Professor Asia University, Taiwan Published by Asia …
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