Results 21 to 30 of about 26,781 (264)
Wavelet Estimation of Regression Derivatives for Biased and Negatively Associated Data
Revstat Statistical Journal, 2022 This paper considers the estimation of the derivatives of a regression function based on biased data. The main feature of the study is to explore the case where the data comes from a negatively associated process.
Junke Kou , Christophe Chesneau
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On Biased Stochastic Gradient Estimation
J. Mach. Learn. Res., 2019 We present a uniform analysis of biased stochastic gradient methods for minimizing convex, strongly convex, and non-convex composite objectives, and identify settings where bias is useful in stochastic gradient estimation. The framework we present allows us to extend proximal support to biased algorithms, including SAG and SARAH, for the first time in ...
Derek Driggs +2 more
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Biases in fiscal multiplier estimates [PDF]
European Journal of Political Economy, 2019 The "true" size of fiscal multipliers is widely debated by economists and policy makers as large (small) multipliers provide arguments to expand (cut) public spending. Within a meta-analytical framework, we ask whether the large observed variance in multiplier estimates can be explained by the national imprint and various author incentives.
Asatryan, Zareh +3 more
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Gender Biases in Estimation of Others’ Pain [PDF]
The Journal of Pain, 2021 Caregiving and other interpersonal interactions often require accurate perception of others' pain from nonverbal cues, but perceivers may be subject to systematic biases based on gender, race, and other contextual factors. Such biases could contribute to systematic under-recognition and undertreatment of pain. In 2 experiments, we studied the impact of
Zhang, Lanlan +4 more
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Biased goiter prevalence estimate
Indian Journal of Community Medicine, 2009 Sir, There are some basic queries related to the article ‘Prevalence of Goiter in Rural Area of Belgaum District, Karnataka’(1). In the introduction the authors should have made some mention of the magnitude of the problem in Karnataka from earlier studies or should have informed that no such study is available.
Soudarssanane M, Punithakumary P
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Hungarian Journal of Industry and Chemistry, 2017 The use of biased estimators can be found in some historically and up to now important tools in statistical data analysis. In this paper their replacement with unbiased estimators at least in the case of the estimator of the population standard deviation
Tóth Gergely, Szepesváry Pál
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An unbiased estimator with prior information
Arab Journal of Basic and Applied Sciences, 2020 The ordinary least square (OLS) estimator suffers a breakdown in the presence of multicollinearity. The estimator is still unbiased but possesses a significant variance.
Adewale F. Lukman +3 more
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Integer estimation in the presence of biases [PDF]
Journal of Geodesy, 2001 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Revstat Statistical Journal, 2010 In this paper, we consider the problem of estimating the parameters of a subset selected from p (p ≥ 2) left-truncated Poisson distributions under Stein loss function. Two problems of estimations are considered; average worth and simultaneous estimation.
A. Shanubhogue, Riyadh R. Al-Mosawi
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Pointwise Optimality of Wavelet Density Estimation for Negatively Associated Biased Sample
Mathematics, 2020 This paper focuses on the density estimation problem that occurs when the sample is negatively associated and biased. We constructed a block thresholding wavelet estimator to recover the density function from the negatively associated biased sample.
Renyu Ye, Xinsheng Liu, Yuncai Yu
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