Results 31 to 40 of about 39,022 (281)
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,
Restrepo, Alfredo, Bovik, Alan C.
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bsamGP: An R Package for Bayesian Spectral Analysis Models Using Gaussian Process Priors
Journal of Statistical Software, 2019 The Bayesian spectral analysis model (BSAM) is a powerful tool to deal with semiparametric methods in regression and density estimation based on the spectral representation of Gaussian process priors. The bsamGP package for R provides a comprehensive set
Seongil Jo +3 more
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Characterizations of probability distributions via bivariate regression of record values [PDF]
, 2007 Bairamov et al. (Aust N Z J Stat 47:543-547, 2005) characterize the exponential distribution in terms of the regression of a function of a record value with its adjacent record values as covariates.
AG Pakes +7 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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Journal of Applied Mathematics, 2014 The imputation of missing data is often a crucial step in the analysis of survey data. This study reviews typical problems with missing data and discusses a method for the imputation of missing survey data with a large number of categorical variables ...
Machelle D. Wilson, Kerstin Lueck
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Quantile and Probability Curves Without Crossing [PDF]
, 2009 This paper proposes a method to address the longstanding problem of lack of monotonicity in estimation of conditional and structural quantile functions, also known as the quantile crossing problem.
Chernozhukov, Victor +2 more
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Monotone Nonparametric Regression
The Annals of Statistics, 1988 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Robust and Sparse Regression via γ-Divergence
Entropy, 2017 In high-dimensional data, many sparse regression methods have been proposed. However, they may not be robust against outliers. Recently, the use of density power weight has been studied for robust parameter estimation, and the corresponding divergences ...
Takayuki Kawashima, Hironori Fujisawa
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Bayesian Semiparametric Regression Analysis of Multivariate Panel Count Data
Stats, 2022 Panel count data often occur in a long-term recurrent event study, where the exact occurrence time of the recurrent events is unknown, but only the occurrence count between any two adjacent observation time points is recorded.
Chunling Wang, Xiaoyan Lin
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Testing equality of functions under monotonicity constraints
, 2013 We consider the problem of testing equality of functions $f_j:[0,1]\to \mathbb{R}$ for $j=1,2,...,J$ the basis of $J$ independent samples from possibly different distributions under the assumption that the functions are monotone.
Durot, Cécile +2 more
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