Results 1 to 10 of about 25,544 (263)
On Consistency in Monotonic Regression
Annals of Statistics, 1973 For each $t$ in some subset $T$ of $N$-dimensional Euclidean space let $F_t$ be a distribution function with mean $m(t)$. Suppose $m(t)$ is non-decreasing in each of the coordinates of $t$. Let $t_1, t_2,\cdots$ be a sequence of points in $T$ and let $Y_1, Y_2,\cdots$ be an independent sequence of random variables such that the distribution function of
F T Wright, D L Hanson
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Fast digital locally monotonic regression [PDF]
IEEE Transactions on Signal Processing, 1997 Restrepo and Bovik [1993] developed an elegant mathematical framework in which they studied locally monotonic regressions in R/sup N/. The drawback is that the complexity of their algorithms is exponential in N. In this paper, we consider digital locally monotonic regressions, in which the output symbols are drawn from a finite alphabet, and, by a ...
N D Sidiropoulos
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Parameter Estimation of the Partially Linear Quantile Regression Model Under Monotonic Constraints
Journal of MathematicsThe paper brings forward the partially linear quantile regression model by incorporating monotonic constraints, which are common in real-world relationships between variables.
Shujin Wu +3 more
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Compensating Data Shortages in Manufacturing with Monotonicity Knowledge
Algorithms, 2021 Systematic decision making in engineering requires appropriate models. In this article, we introduce a regression method for enhancing the predictive power of a model by exploiting expert knowledge in the form of shape constraints, or more specifically ...
Martin von Kurnatowski +8 more
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Texas Water Journal, 2021 Water quality monitoring programs commonly use the Mann-Kendall test or linear regression to identify statistically significant monotonic trends in fecal indicator bacteria concentrations (typically Escherichia coli [E. coli]).
Michael Paul Schramm
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Mathematical and Computational Applications, 2022 Probability distributions are very useful in modeling lifetime datasets. However, no specific distribution is suitable for all kinds of datasets. In this study, the bounded truncated Cauchy power exponential distribution is proposed for modeling datasets
Suleman Nasiru +2 more
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J. Mach. Learn. Res., 2020 We consider so-called univariate unlinked (sometimes \decoupled,"or \shuffled") regression when the unknown regression curve is monotone. In standard monotone regression, one observes a pair (X; Y ) where a response Y is linked to a covariate X through the model Y = m0(X) + ϵ, with m0 the (unknown) monotone regression function and ϵ the unobserved ...
Balabdaoui, Fadoua +2 more
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Mathematical and Computational Applications, 2020 The present paper deals with nonlinear, non-monotonic data regression. This paper introduces an efficient algorithm to perform data transformation from non-monotonic to monotonic to be paired with a statistical bivariate regression method.
Daniele Polucci +2 more
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Mathematical and Computational Applications, 2023 The usefulness of (probability) distributions in the field of biomedical science cannot be underestimated. Hence, several distributions have been used in this field to perform statistical analyses and make inferences. In this study, we develop the arctan
Suleman Nasiru +2 more
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Bayesian nonparametric monotone regression
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
Ander Wilson +3 more
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