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Empirical likelihood-based unified confidence region for a predictive regression model

Communications in statistics. Simulation and computation, 2019
In finance and economics, predictive regression models are widely used. It is known that the limit distributions of their least squares estimators are nonstandard, and depend on the properties of the predictors.
Xiaohui Liu, Yuzi Liu, Fucai Lu
semanticscholar   +1 more source

IoV-based collision avoidance by using confidence region

2019 IEEE Eurasia Conference on IOT, Communication and Engineering (ECICE), 2019
For some IoV-based collision avoidance architectures, it is not necessary that all vehicles have communication ability. Hence, they need some particular designs and extra components.
Che-Cheng Chang   +2 more
semanticscholar   +1 more source

Asymptotic Theory and Unified Confidence Region for an Autoregressive Model

Journal of Time Series Analysis, 2018
Although some unified inferences for the coefficient in an AR(1) model have been proposed in the literature, it remains open as to how to construct a unified confidence region for the intercept and the coefficient jointly without a prior on whether the ...
Xiaohui Liu, L. Peng
semanticscholar   +1 more source

Weakly Supervised Semantic Segmentation via Progressive Confidence Region Expansion

Computer Vision and Pattern Recognition
Weakly supervised semantic segmentation (WSSS) has garnered considerable attention due to its effective reduction of annotation costs. Most approaches utilize Class Activation Maps (CAM) to produce pseudo-labels, thereby localizing target regions using ...
Xiangfeng Xu   +9 more
semanticscholar   +1 more source

CONFIDENCE REGIONS FOR REGRESSION PARAMETERS

Australian Journal of Statistics, 1962
SummarySuggestions for combining confidence interval estimates and extensions of the procedures to the determination of confidence regions for regression curves have been put forward. The merit of these ideas is believed to lie in their simplicity and potential wide applicability to a variety of regression problems.
openaire   +2 more sources

A new class of asymptotically valid confidence regions confidence regions

2011 International Conference on Consumer Electronics, Communications and Networks (CECNet), 2011
Weerahandi introduced the concept of generalized confidence intervals, which are to develop interval estimation. But it is difficult to use this method for constructing generalized confidence regions of vector parameters. In this paper we give a new method based on generalized bootstrap variable to construct asymptotically correct confidence regions of
openaire   +1 more source

Confidence region estimation techniques for nonlinear regression in groundwater flow: Three case studies

open access: yesWater Resources Research, 2007
K. Vugrin   +4 more
exaly   +2 more sources

Second-Order Properties of a Two-Stage Fixed-Size Confidence Region for the Mean Vector of a Multivariate Normal Distribution

open access: yesJournal of Multivariate Analysis, 1999
We consider the classical fixed-size confidence region estimation problem for the mean vector?in theNp(?,?) population where ? is unknown but positive definite. We write?1for the largest characteristic root of ? and assume that?1is simple.
N Mukhopadhyay
exaly   +2 more sources

Confidence Regions for Distribution Bounds

IEEE Transactions on Reliability, 1980
This paper considers the problem of constructing an s-confidence region for a pair of parameters which together mark the bounds of a distribution. The problem is solved, and a table provided, for a rectangular distribution; the solution is then generalized.
openaire   +2 more sources

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