Nonparametric Regression, Confidence Regions and Regularization
The Annals of Statistics, 2007 In this paper we offer a unified approach to the problem of nonparametric regression on the unit interval. It is based on a universal, honest and non-asymptotic confidence region which is defined by a set of linear inequalities involving the values of ...
Davies, P. L., Kovac, A., Meise, M.
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A confidence region for the ridge path in multiple response surface optimization
European Journal of Operational Research, 2016 Liangxing Shi +2 more
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Confidence Regions for Parameters in Stationary Time Series Models With Gaussian Noise
Frontiers in Physics, 2022 This article develops two new empirical likelihood methods for long-memory time series models based on adjusted empirical likelihood and mean empirical likelihood.
Xiuzhen Zhang +3 more
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Confidence Intervals and Regions for Proportions under Various Three-Endmember Linear Mixture Models
Remote Sensing, 2023 Many studies in recent years have been devoted to estimating the per-pixel proportions of three broad classes of materials (e.g., photosynthetic vegetation, non-photosynthetic vegetation and bare soil) using data from multispectral sensors.
Mark Berman
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Inference for the Linear IV Model Ridge Estimator Using Training and Test Samples
Stats, 2021 The asymptotic distribution is presented for the linear instrumental variables model estimated with a ridge penalty and a prior where the tuning parameter is selected with a holdout sample. The structural parameters and the tuning parameter are estimated
Fallaw Sowell, Nandana Sengupta
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Journal of Geodesy, 2021 The Minimal Detectable Displacement (MDD) is an important measure of monitoring networks sensitivity to displacements. In addition to the accuracy criteria, it is used as a detectability criterion in the optimal design of such networks.
W. Prószyński, S. Łapiński
semanticscholar +1 more source
Line segment confidence region-based string matching method for map conflation
ISPRS Journal of Photogrammetry and Remote Sensing, 2013 Wenzhong Shi
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Minimum Area Confidence Region for Weibull Distribution Based on Records
Revstat Statistical Journal, 2021 Record values are commonly seen in real life applications, and many important studies on record values relate to Weibull distributions. Based on record values, we establish the minimum area confidence region for the two-parameter Weibull distribution ...
Junmei Zhou , Fen Jiang , Jin Zhang
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Co-training with High-Confidence Pseudo Labels for Semi-supervised Medical Image Segmentation [PDF]
International Joint Conference on Artificial Intelligence, 2023 Consistency regularization and pseudo labeling-based semi-supervised methods perform co-training using the pseudo labels from multi-view inputs. However, such co-training models tend to converge early to a consensus, degenerating to the self-training ...
Zhiqiang Shen +5 more
semanticscholar +1 more source
SIMPLE ALGORITHM TO CONSTRUCT CIRCULAR CONFIDENCE REGIONS IN CORRESPONDENCE ANALYSIS USING R
Barekeng, 2022 Correspondence analysis has been widely applied in various fields as a graphical method to depict the association structure between two categorical random variables on a low-dimensional plot. This study built a simple algorithm to determine the principal
Karunia Eka Lestari +2 more
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