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Bayesian nonparametric monotone regression [PDF]

Environmetrics, 2020
AbstractIn many applications there is interest in estimating the relation between a predictor and an outcome when the relation is known to be monotone or otherwise constrained due to the physical processes involved. We consider one such application‐inferring time‐resolved aerosol concentration from a low‐cost differential pressure sensor. The objective
Jessica Tryner, John Volckens, Christian L'Orange   +2 more
exaly   +7 more sources

Monotone Regression: A Simple and Fast O(n) PAVA Implementation

Journal of Statistical Software, 2022
Efficient coding and improvements in the execution order of the up-and-down-blocks algorithm for monotone or isotonic regression leads to a significant increase in speed as well as a short and simple O(n) implementation.
Frank M. T. A. Busing
doaj   +4 more sources

Bayesian Estimation of Marginal Quantiles with Missing Data in a Multivariate Regression Framework [PDF]

Entropy
In this article, we propose and study a class of multivariate regression models that account for ignorable missing data in skewed, potentially heavy-tailed response vectors with positive components.
Raúl Alejandro Morán-Vásquez, Mauricio A. Mazo-Lopera, Jose Antonio Escobar-Arias   +2 more
doaj   +2 more sources

Assessing antenatal care utilization, socioeconomic inequalities and low birth weight outcomes: a population-based analysis using the 2022 Ghana demographic and health survey data [PDF]

BMC Pediatrics
Background Sub-Saharan Africa continues to face significant challenges with low birth weight (LBW). Factors such as antenatal care (ANC) utilization and socioeconomic status play critical roles in birth outcomes.
Michael Arthur Ofori, Diana Maame Agyeiwaa Agyei, Abena Abokoma Asemanyi, Sesi Sedegah, Theophilus Asamoah, David Kwamena Mensah   +5 more
doaj   +2 more sources

Dual active-set algorithm for optimal 3-monotone regression [PDF]

Известия Саратовского университета. Новая серия: Математика. Механика. Информатика, 2022
The paper considers a shape-constrained optimization problem of constructing monotone regression which has gained much attention over the recent years. This paper presents the results of constructing the nonlinear regression with $3$-monotone constraints.
Gudkov, Alexandr A., Sidorov, Sergei Petrovich, Spiridonov, Kirill A.   +2 more
doaj   +1 more source

Bayesian and frequentist approach for the generalized log-logistic accelerated failure time model with applications to larynx-cancer patients

Alexandria Engineering Journal, 2022
The log-normal, log-logistic and Weibull distributions are commonly utilized to model survival data. Unimodal (or non-monotone) failure rate functions are modeled using the log-normal and the log-logistic families, whereas monotone failure rate functions
Abdisalam Hassan Muse, Samuel Mwalili, Oscar Ngesa, Huda M. Alshanbari, Saima Khan Khosa, Eslam Hussam   +5 more
doaj   +1 more source

The Lookup Table Regression Model for Histogram-Valued Symbolic Data

Stats, 2022
This paper presents the Lookup Table Regression Model (LTRM) for histogram-valued symbolic data. We first transform the given symbolic data to a numerical data table by the quantile method.
Manabu Ichino
doaj   +1 more source

On Analyzing Non-Monotone Failure Data

Revstat Statistical Journal, 2023
A new two-parameter distribution is defined for modeling non-monotone lifetime data. It is constructed based on the logistic-G family and the exponential distribution.
Muhammad Mansoor , M. H. Tahir , Gauss M. Cordeiro , Edwin M.M. Ortega , Ayman Alzaatreh   +4 more
doaj   +1 more source

Adaptive observer design for time-varying nonlinear systems with unknown polynomial parameters [PDF]

Научно-технический вестник информационных технологий, механики и оптики, 2021
Many control methods involve the use of real-time values of the vector of state variables or its estimates. The article considers the problem of state variables observer design for a nonlinear non-stationary plant of a wider class compared to the known ...
Binh Khac Dang, Anton A. Pyrkin, Alexey A. Bobtsov, Alexey A. Vedyakov   +3 more
doaj   +1 more source

A dual active set algorithm for optimal sparse convex regression

Vestnik Samarskogo Gosudarstvennogo Tehničeskogo Universiteta. Seriâ: Fiziko-Matematičeskie Nauki, 2019
The shape-constrained problems in statistics have attracted much attention in recent decades. One of them is the task of finding the best fitting monotone regression. The problem of constructing monotone regression (also called isotonic regression) is to
Aleksandr A. Gudkov, Sergey V. Mironov, Sergey P. Sidorov, Sergey V. Tyshkevich   +3 more
doaj   +3 more sources