Bayesian Estimation of Marginal Quantiles with Missing Data in a Multivariate Regression Framework [PDF]
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 +2 more
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Semiparametric outcome regression-based estimator of Mann–Whitney-type causal effect [PDF]
We introduce a novel semiparametric estimator for Mann–Whitney-type causal effects based on the cumulative probability model (CPM). CPMs are rank-based, invariant to monotone transformations of the outcome, and offer flexible outcome regression under ...
Safiya S. Sani +11 more
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Using threshold Cox models to estimate change points in exposure-response relationships in an occupational epidemiological study of respirable crystalline silica and silicosis risk [PDF]
IntroductionIn occupational epidemiology, accurately quantifying exposure-response relationships is crucial.MethodsWe introduce a threshold Cox model that includes a change point term to identify the optimal threshold.
Diezhang Wu, Kenneth A. Mundt, Jing Qian
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Dual active-set algorithm for optimal 3-monotone regression [PDF]
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. +2 more
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Calibrating multiplex serology for Helicobacter pylori [PDF]
Background Helicobacter pylori (H. pylori) is a bacterium that colonizes the stomach and is a major risk factor for gastric cancer, with an estimated 89% of non-cardia gastric cancer cases worldwide attributable to H. pylori.
Emmanuelle A. Dankwa +9 more
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Monotone Regression: A Simple and Fast O(n) PAVA Implementation
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
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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 +5 more
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The Lookup Table Regression Model for Histogram-Valued Symbolic Data
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
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On Analyzing Non-Monotone Failure Data
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 +4 more
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Adaptive observer design for time-varying nonlinear systems with unknown polynomial parameters [PDF]
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 +3 more
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