Bias Reduction in Variational Regularization
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Mathematical Imaging and Vision"
DOI: 10.1007/s10851-017-0747-z
Abstract: The aim of this paper was to introduce and study a two-step debiasing method for variational regularization. After solving the standard variational problem, the key idea is to add a consecutive debiasing step minimizing the… read more here.
Keywords: step; reduction variational; bias reduction; variational regularization ... See more keywords
Bias reduction estimation for drift coefficient in diffusion models with jumps
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DOI: 10.1080/02331888.2023.2201504
Abstract: In this paper, we reconstruct the local linear threshold estimator for the drift coefficient of a semimartingale with jumps. Under mild conditions, we provide the asymptotic normality of our estimator in the presence of finite… read more here.
Keywords: bias reduction; drift coefficient; estimation drift; reduction estimation ... See more keywords
Bias reduction and model selection in misspecified models
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DOI: 10.1080/03610926.2021.1959613
Abstract: This article concerns maximum penalized likelihood estimation in misspecified generalized linear models with independent and identically distributed observations. A new method for simultaneous mode... read more here.
Keywords: misspecified models; bias reduction; model selection; reduction model ... See more keywords
A Semidefinite Relaxation Solution for Time Delay and Doppler Shift Localization Considering Sensor Location Errors and Its Bias Reduction Scheme
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DOI: 10.1109/jiot.2022.3194897
Abstract: This article develops a robust source localization method using time delay and Doppler shift measurements, where the sensor motion effect accompanied by sensor location errors cannot be ignored. We begin by transforming the time delay… read more here.
Keywords: time delay; doppler shift; bias reduction; location errors ... See more keywords
Median bias reduction in random-effects meta-analysis and meta-regression
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DOI: 10.1177/0962280218771717
Abstract: The reduction of the mean or median bias of the maximum likelihood estimator in regular parametric models can be achieved through the additive adjustment of the score equations. In this paper, we derive the adjusted… read more here.
Keywords: bias reduction; likelihood; reduction random; median bias ... See more keywords