Results 11 to 20 of about 4,642 (256)
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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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 +4 more
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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 +3 more
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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 +3 more
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Testing monotonicity of regression
The Annals of Statistics, 2000 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ghosal, Subhashis +2 more
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TESTING GENERALIZED REGRESSION MONOTONICITY [PDF]
Econometric Theory, 2018 We propose a test for a generalized regression monotonicity (GRM) hypothesis. The GRM hypothesis is the sharp testable implication of the monotonicity of certain latent structures, as we show in this article. Examples include the monotonicity of the conditional mean function when only interval data are available for the dependent variable and the ...
Hsu, Yu-Chin, Liu, Chu-An, Shi, Xiaoxia
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The Annals of Mathematical Statistics, 1972 Suppose that for each real number $t$ in [0, 1] we have a distribution with distribution function $F_t(\bullet)$, mean $\mu(t)$ and median $m(t) (\mu(t)$ and $m(t)$ are referred to as regression functions). Consider the problems of estimating $\mu(\bullet)$ and $m(\bullet)$.
Cryer, J. D. +3 more
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Mixture Modeling of Time-to-Event Data in the Proportional Odds Model
Mathematics, 2022 Subgroup analysis with survival data are most essential for detailed assessment of the risks of medical products in heterogeneous population subgroups. In this paper, we developed a semiparametric mixture modeling strategy in the proportional odds model ...
Xifen Huang +4 more
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On Consistency in Monotonic Regression
The 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
Hanson, D. L. +2 more
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International Conference on Acoustics, Speech, and Signal Processing, 1993 The concept of local monotonicity appears in the study of the set of root signals of the median filter and provides a measure of the smoothness of the signal. The median filter is a suboptimal smoother under this measure of smoothness, since a filter pass does necessarily yield a locally monotonic output; even if a locally monotonic output does result,
Alfredo Restrepo, Alan Conrad Bovik
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