Search results for "Errors-in-variables"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
45	Tomasz Larkowski, Jens G. Linden, Benoit Vinsonneau, Keith J. Burnham	Regularized Structured Total Least Norm for the Identification of Bilinear Systems in the Errors-in-Variables Framework.	ICONS	2008	DBLP DOI BibTeX RDF	Bilinear systems, Total least norm, Regularization, Identification, Errors-in-variables
33	Lydia Ng, Victor Solo	Errors-in-variables modeling in optical flow estimation.	IEEE Trans. Image Process.	2001	DBLP DOI BibTeX RDF
30	Bogdan Matei, Peter Meer	Estimation of Nonlinear Errors-in-Variables Models for Computer Vision Applications.	IEEE Trans. Pattern Anal. Mach. Intell.	2006	DBLP DOI BibTeX RDF	heteroscedastic regression, 3D rigid motion, uncalibrated vision, camera calibration, Nonlinear least squares
29	Han-Fu Chen	Recursive identification for EIV ARMAX systems.	Sci. China Ser. F Inf. Sci.	2009	DBLP DOI BibTeX RDF	multivariate ARMAX, convergence, recursive identification, errors-in-variables
29	Sandra Lechner, Winfried Pohlmeier	To Blank or Not to Blank? A Comparison of the Effects of Disclosure Limitation Methods on Nonlinear Regression Estimates.	Privacy in Statistical Databases	2004	DBLP DOI BibTeX RDF	blanking, semi-parametric selection models, errors in variables in nonlinear models, disclosure limitation
29	Bogdan Matei, Peter Meer	Reduction of Bias in Maximum Likelihood Ellipse Fitting.	ICPR	2000	DBLP DOI BibTeX RDF	errors-in-variables models, heteroscedastic noise, maximum likelihood estimation, bootstrap, confidence regions
26	Martin Hiller	Error Recovery using Forced Validity Assisted by Executable Assertions for Error Detection: An Experimental Evaluation.	EUROMICRO	1999	DBLP DOI BibTeX RDF
25	Tingbo Hou, Junwen Wang, Feng Zhu 0014, Zelin Shi	3D Reconstruction Based on Pseudo-Linearization and Errors-in-Variables Model.	ICAT Workshops	2006	DBLP DOI BibTeX RDF
24	Yanting Xiao, Fuxiao Li	Estimation in partially linear varying-coefficient errors-in-variables models with missing response variables.	Comput. Stat.	2020	DBLP DOI BibTeX RDF
24	Chuan-Hua Wei	Estimation in Varying-Coefficient Errors-in-Variables Models with Missing Response Variables.	Commun. Stat. Simul. Comput.	2011	DBLP DOI BibTeX RDF
24	Marie-Luce Taupin	Semi-parametric estimation in the nonlinear errors-in-variables model. (Estimation semi-paramétrique pour le modèle de régression non linéaire avec erreurs sur les variables).		1998	RDF
24	Brian D. O. Anderson, Manfred Deistler	Dynamic errors-in-variables systems with three variables.	Autom.	1987	DBLP DOI BibTeX RDF
24	Bohai Zhang, Noel Cressie, Debra Wunch	Inference for Errors-in-Variables Models in the Presence of Systematic Errors with an Application to a Satellite Remote Sensing Campaign.	Technometrics	2019	DBLP DOI BibTeX RDF
24	Giulio Bottegal, Giorgio Picci, Stefano Pinzoni	On the identifiability of errors-in-variables models with white measurement errors.	Autom.	2011	DBLP DOI BibTeX RDF
24	Raphael Pfaff, Tomasz Larkowski, Keith J. Burnham	An Application of Adaptive Control in the Behavioural Framework.	ICSEng	2011	DBLP DOI BibTeX RDF	Adaptive system and control, Errors in variables identification, Recursive identification
24	Martin L. Hazelton, Berwin A. Turlach	Nonparametric density deconvolution by weighted kernel estimators.	Stat. Comput.	2009	DBLP DOI BibTeX RDF	Integrated square error, Density estimation, Weights, Measurement error, Errors in variables
24	Jason W. Zwolak, Paul T. Boggs, Layne T. Watson	Algorithm 869: ODRPACK95: A weighted orthogonal distance regression code with bound constraints.	ACM Trans. Math. Softw.	2007	DBLP DOI BibTeX RDF	Fortran 95, measurement error models, orthogonal distance regression, simple bounds, nonlinear least squares, Errors in variables
24	Gaudenz Danuser, Markus A. Stricker	Parametric Model Fitting: From Inlier Characterization to Outlier Detection.	IEEE Trans. Pattern Anal. Mach. Intell.	1998	DBLP DOI BibTeX RDF	generalized least squares, data snooping, classify-while-fit, Parametric models, planes, straight lines, self-diagnosis, errors in variables
22	Björn Andres, Claudia Kondermann, Daniel Kondermann, Ullrich Köthe, Fred A. Hamprecht, Christoph S. Garbe	On errors-in-variables regression with arbitrary covariance and its application to optical flow estimation.	CVPR	2008	DBLP DOI BibTeX RDF
22	William Bobillet, Roberto Diversi, Éric Grivel, Roberto Guidorzi, Mohamed Najim, Umberto Soverini	Speech Enhancement Combining Optimal Smoothing and Errors-In-Variables Identification of Noisy AR Processes.	IEEE Trans. Signal Process.	2007	DBLP DOI BibTeX RDF
22	Matthias Mühlich, Rudolf Mester	Unbiased Errors-In-Variables Estimation Using Generalized Eigensystem Analysis.	ECCV Workshop SMVP	2004	DBLP DOI BibTeX RDF
22	Bogdan Matei, Peter Meer	A General Method for Errors-in-Variables Problems in Computer Vision.	CVPR	2000	DBLP DOI BibTeX RDF
17	Jean-Jacques Fuchs, Sébastien Maria	A New Approach to Variable Selection Using the TLS Approach.	IEEE Trans. Signal Process.	2007	DBLP DOI BibTeX RDF
16	Xin Li 0061, Dongya Wu	Sparse estimation in high-dimensional linear errors-in-variables regression via a covariate relaxation method.	Stat. Comput.	2024	DBLP DOI BibTeX RDF
16	Xin Li 0061, Dongya Wu	Low-rank matrix estimation via nonconvex optimization methods in multi-response errors-in-variables regression.	J. Glob. Optim.	2024	DBLP DOI BibTeX RDF
16	Jared Miller, Tianyu Dai, Mario Sznaier	Data-Driven Superstabilizing Control under Quadratically-Bounded Errors-in-Variables Noise.	CoRR	2024	DBLP DOI BibTeX RDF
16	Jie Hou, Hao Su, Chengpu Yu, Fengwei Chen, Penghua Li	Bias-Correction Errors-in-Variables Hammerstein Model Identification.	IEEE Trans. Ind. Electron.	2023	DBLP DOI BibTeX RDF
16	Shuang Zhou 0013, Debdeep Pati, Tianying Wang, Yun Yang, Raymond J. Carroll	Gaussian Processes with Errors in Variables: Theory and Computation.	J. Mach. Learn. Res.	2023	DBLP BibTeX RDF
16	Yuen Tsz Abby Lau, Tianying Wang, Jun Yan 0002, Xuebin Zhang	Extreme value modeling with errors-in-variables in detection and attribution of changes in climate extremes.	Stat. Comput.	2023	DBLP DOI BibTeX RDF
16	Angel L. Cedeño, Rafael Orellana, Rodrigo Carvajal, Boris I. Godoy, Juan C. Agüero	Finite Impulse Response Errors-in-Variables System Identification Utilizing Approximated Likelihood and Gaussian Mixture Models.	IEEE Access	2023	DBLP DOI BibTeX RDF
16	Xiaoxia He, Xiaodan Zhou, Chunli Li	Expectile Regression With Errors-in-Variables.	IEEE Access	2023	DBLP DOI BibTeX RDF
16	Jörg Martin, Clemens Elster	Aleatoric Uncertainty for Errors-in-Variables Models in Deep Regression.	Neural Process. Lett.	2023	DBLP DOI BibTeX RDF
16	Keerthan Ramnath, Shankar Narasimhan	Identification of errors in variables linear state space models using iterative principal component analysis.	Int. J. Control	2023	DBLP DOI BibTeX RDF
16	Tiancheng Zong, Junhong Li, Guoping Lu	Bias-compensated least squares and fuzzy PSO based hierarchical identification of errors-in-variables Wiener systems.	Int. J. Syst. Sci.	2023	DBLP DOI BibTeX RDF
16	Dongxu Liu, Haiquan Zhao	Statistics Behavior of Individual-Weighting-Factors SSAF Algorithm Under Errors-in-Variables Model.	IEEE Signal Process. Lett.	2023	DBLP DOI BibTeX RDF
16	David Kreiberg	A confirmatory factor analysis approach for addressing the errors-in-variables problem with colored output noise.	Autom.	2023	DBLP DOI BibTeX RDF
16	Jie Hou, Hao Su, Chengpu Yu, Fengwei Chen, Penghua Li, Haofei Xie, Taifu Li	Consistent Subspace Identification of Errors-in-Variables Hammerstein Systems.	IEEE Trans. Syst. Man Cybern. Syst.	2023	DBLP DOI BibTeX RDF
16	Rahel Rickenbach, Anna Scampicchio, Melanie N. Zeilinger	Inverse Optimal Control as an Errors-in-Variables Problem.	CoRR	2023	DBLP DOI BibTeX RDF
16	Kensuke Aishima	Strong consistency of an estimator by the truncated singular value decomposition for an errors-in-variables regression model with collinearity.	CoRR	2023	DBLP DOI BibTeX RDF
16	Zhenghao Guo, Verity M. McClelland, Wei Dai 0001, Zoran Cvetkovic	Structured Errors-in-Variables Modelling for Cortico-Muscular Coherence Enhancement.	ICASSP	2023	DBLP DOI BibTeX RDF
16	Dogyoon Song, Kyunghee Han	Errors-in-variables Fr\'echet Regression with Low-rank Covariate Approximation.	NeurIPS	2023	DBLP BibTeX RDF
16	Peng Liu, Kailai Li, Gustaf Hendeby, Fredrik Gustafsson	Weighted Total Least Squares for Quadratic Errors-in-Variables Regression.	EUSIPCO	2023	DBLP DOI BibTeX RDF
16	Kensuke Aishima	Consistent estimation for an errors-in-variables model based on constrained total least squares problems.	JSIAM Lett.	2022	DBLP DOI BibTeX RDF
16	Deepak Maurya, Arun K. Tangirala, Shankar Narasimhan	Identification of errors-in-variables ARX models using modified dynamic iterative PCA.	J. Frankl. Inst.	2022	DBLP DOI BibTeX RDF
16	Masoud Moravej Khorasani, Erik Weyer	Non-asymptotic Confidence Regions for the Transfer Functions of Errors-in-Variables Systems.	IEEE Trans. Autom. Control.	2022	DBLP DOI BibTeX RDF
16	Xin Liu 0038, Guangjie Han, Xianqiang Yang 0001	Robust Global Identification of LPV Errors-in-Variables Systems With Incomplete Observations.	IEEE Trans. Syst. Man Cybern. Syst.	2022	DBLP DOI BibTeX RDF
16	Torsten Söderström, Umberto Soverini	When Are Errors-in-Variables Aspects Important to Consider in System Identification?	ECC	2022	DBLP DOI BibTeX RDF
16	Erliang Zhang, Rik Pintelon	Identification of dynamic errors-in-variables systems with quasi-stationary input and colored noise.	Autom.	2021	DBLP DOI BibTeX RDF
16	Jörg Martin, Clemens Elster	Errors-in-Variables for deep learning: rethinking aleatoric uncertainty.	CoRR	2021	DBLP BibTeX RDF
16	Xin Li 0061, Dongya Wu	Minimax Rates of ℓp-Losses for High-Dimensional Linear Errors-in-Variables Models over ℓq-Balls.	Entropy	2021	DBLP DOI BibTeX RDF
16	Guangyi Zhang 0001, Reza A. Ashrafi, Anne Juuti, Kirsi Pietiläinen, Pekka Marttinen	Errors-in-Variables Modeling of Personalized Treatment-Response Trajectories.	IEEE J. Biomed. Health Informatics	2021	DBLP DOI BibTeX RDF
16	Zhenghao Guo, Verity M. McClelland, Zoran Cvetkovic	Unravelling Causal Relationships Between Cortex and Muscle with Errors-in-variables Models.	EMBC	2021	DBLP DOI BibTeX RDF
16	Emerson Christ Boeira, Diego Eckhard	An optimal regularized instrumental variable method for errors-in-variables identification.	CDC	2021	DBLP DOI BibTeX RDF
16	Lili Wei	Law of the iterated logarithm for estimators of parameters in partially linear errors-in-variables models.	Comput. Math. Methods	2020	DBLP DOI BibTeX RDF
16	Kyunghee Han, Young K. Lee, Byeong U. Park	Smooth backfitting for errors-in-variables varying coefficient regression models.	Comput. Stat. Data Anal.	2020	DBLP DOI BibTeX RDF
16	Gustavo Quintana-Carapia, Ivan Markovsky, Rik Pintelon, Péter Zoltán Csurcsia, Dieter Verbeke	Bias and covariance of the least squares estimate in a structured errors-in-variables problem.	Comput. Stat. Data Anal.	2020	DBLP DOI BibTeX RDF
16	Miaomiao Wang, Catherine Chunling Liu, Tianfa Xie, Zhihua Sun	Data-driven model checking for errors-in-variables varying-coefficient models with replicate measurements.	Comput. Stat. Data Anal.	2020	DBLP DOI BibTeX RDF
16	Shujun Fan, Feng Ding 0001, Tasawar Hayat	Recursive Identification of Errors-in-Variables Systems Based on the Correlation Analysis.	Circuits Syst. Signal Process.	2020	DBLP DOI BibTeX RDF
16	Leyang Wang, Jianqiang Sun	Regression prediction method that is based on the partial errors-in-variables model.	Commun. Stat. Simul. Comput.	2020	DBLP DOI BibTeX RDF
16	Qijiang Song, Zhiyong Huang	Identification of Errors-in-Variables Systems with General Nonlinear Output Observations and with ARMA Observation Noises.	J. Syst. Sci. Complex.	2020	DBLP DOI BibTeX RDF
16	Deepak Maurya, Arun K. Tangirala, Shankar Narasimhan	Identification of Errors-in-Variables ARX Models Using Modified Dynamic Iterative PCA.	CoRR	2020	DBLP BibTeX RDF
16	Li-Hui Geng	An improved computationally efficient identification method for errors-in-variables models based on v-gap optimisation.	Int. J. Control	2019	DBLP DOI BibTeX RDF
16	Peiliang Xu	Improving the weighted least squares estimation of parameters in errors-in-variables models.	J. Frankl. Inst.	2019	DBLP DOI BibTeX RDF
16	Hyundeok Kang, Guoxiang Gu, Wei Xing Zheng 0001	A graph subspace approach to system identification based on errors-in-variables system models.	Autom.	2019	DBLP DOI BibTeX RDF
16	Guangyi Zhang 0001, Reza A. Ashrafi, Anne Juuti, Kirsi Pietiläinen, Pekka Marttinen	Errors-in-variables Modeling of Personalized Treatment-Response Trajectories.	CoRR	2019	DBLP BibTeX RDF
16	Hanbing Zhu, Riquan Zhang, Zhou Yu, Heng Lian, Yanghui Liu	Estimation and testing for partially functional linear errors-in-variables models.	J. Multivar. Anal.	2019	DBLP DOI BibTeX RDF
16	Minghong She, Baocang Ding	Closed-loop subspace identification of multivariable dynamic errors-in-variables models based on ORT.	Clust. Comput.	2019	DBLP DOI BibTeX RDF
16	Masoud Moravej Khorasani, Erik Weyer	Confidence Regions for Parameters of Errors-In-Variables Systems Using Sign-Perturbed Sums.	CDC	2019	DBLP DOI BibTeX RDF
16	Khaled F. Aljanaideh, Roberto Diversi	Errors-in-Variables Identification of Composite Noncausal-FIR/IIR Models with Application to Transmissibility Identification.	CDC	2019	DBLP DOI BibTeX RDF
16	Yanting Xiao, Zhanshou Chen	Estimation and inference for varying coefficient partially nonlinear errors-in-variables models.	Commun. Stat. Simul. Comput.	2018	DBLP DOI BibTeX RDF
16	Erliang Zhang, Rik Pintelon	Nonparametric identification of linear dynamic errors-in-variables systems.	Autom.	2018	DBLP DOI BibTeX RDF
16	Vito Cerone, Valentino Razza, Diego Regruto	Set-membership errors-in-variables identification of MIMO linear systems.	Autom.	2018	DBLP DOI BibTeX RDF
16	Fan Guo 0002, Ouyang Wu, Hariprasad Kodamana, Yongsheng Ding, Biao Huang 0001	An Augmented Model Approach for Identification of Nonlinear Errors-in-Variables Systems Using the EM Algorithm.	IEEE Trans. Syst. Man Cybern. Syst.	2018	DBLP DOI BibTeX RDF
16	Dmitriy V. Ivanov, S. A. Nikishchenkov, A. A. Zharkova, A. V. Kuchinsky, A. A. Ilmushkin	Recursive Identification of Complex-Valued Weights Linear Dynamical Systems of Fractional Order with Errors-in-Variables.	EWDTS	2018	DBLP DOI BibTeX RDF
16	Khaled F. Aljanaideh, Sneha Sanjeevini, Dennis S. Bernstein	Time-Domain Errors-in-Variables Identification of Transmissibilities.	CDC	2018	DBLP DOI BibTeX RDF
16	Fan Guo 0002, Ouyang Wu, Yongsheng Ding, Biao Huang 0001	A Data-Based Augmented Model Identification Method for Linear Errors-in-Variables Systems Based on EM Algorithm.	IEEE Trans. Ind. Electron.	2017	DBLP DOI BibTeX RDF
16	Eleonora Maset, Fabio Crosilla, Andrea Fusiello	Errors-in-Variables Anisotropic Extended Orthogonal Procrustes Analysis.	IEEE Geosci. Remote. Sens. Lett.	2017	DBLP DOI BibTeX RDF
16	Ana M. Bianco, Paula M. Spano	Robust estimation in partially linear errors-in-variables models.	Comput. Stat. Data Anal.	2017	DBLP DOI BibTeX RDF
16	Fan Guo 0002, Hariprasad Kodamana, Yujia Zhao, Biao Huang 0001, Yongsheng Ding	Robust Identification of Nonlinear Errors-in-Variables Systems With Parameter Uncertainties Using Variational Bayesian Approach.	IEEE Trans. Ind. Informatics	2017	DBLP DOI BibTeX RDF
16	Roberto Diversi, Roberto Guidorzi	The Frisch scheme in multivariable errors-in-variables identification.	Eur. J. Control	2017	DBLP DOI BibTeX RDF
16	Erliang Zhang, Rik Pintelon	Identification of multivariable dynamic errors-in-variables system with arbitrary inputs.	Autom.	2017	DBLP DOI BibTeX RDF
16	Torsten Söderström, Umberto Soverini	Errors-in-variables identification using maximum likelihood estimation in the frequency domain.	Autom.	2017	DBLP DOI BibTeX RDF
16	Ouyang Wu, Hariprasad Kodamana, Juan Li, Biao Huang 0001, J. Fraser Forbes	Identification of nonlinear errors-in-variables systems in state-space form: A linear parameter varying approach.	ASCC	2017	DBLP DOI BibTeX RDF
16	Vito Cerone, Diego Regruto, M. Abuabiah	Direct data-driven control design through set-membership errors-in-variables identification techniques.	ACC	2017	DBLP DOI BibTeX RDF
16	Zhimeng Sun	Empirical Likelihood Inference of the Partial Linear Isotonic Errors-in-variables Regression Models with Missing Data.	Commun. Stat. Simul. Comput.	2016	DBLP DOI BibTeX RDF
16	Jin Yang, Shuang Guo, Chuanhua Wei	Testing Serial Correlation in Partially Linear Additive Errors-in-variables Models.	Commun. Stat. Simul. Comput.	2016	DBLP DOI BibTeX RDF
16	David Kreiberg, Torsten Söderström, Fan Yang-Wallentin	Errors-in-variables system identification using structural equation modeling.	Autom.	2016	DBLP DOI BibTeX RDF
16	Yuan Li, Zheng Qin, Lai-Xiang Shan	Adaptive modelling of non-linear errors-in-variables systems.	Int. J. Comput. Appl. Technol.	2016	DBLP DOI BibTeX RDF
16	Magnus Mossberg	Performance analysis and filter choice for an errors-in-variables method.	ECC	2016	DBLP DOI BibTeX RDF
16	Ouyang Wu, K. Hariprasad, Biao Huang 0001, J. Fraser Forbes	Identification of linear dynamic errors-in-variables systems with a dynamic uncertain input using the EM algorithm.	CDC	2016	DBLP DOI BibTeX RDF
16	Andrew Fox, Vinod Sharma, B. V. K. Vijaya Kumar	Signal reconstruction for multi-source variable-rate samples with autocorrelated errors in variables.	SSP	2016	DBLP DOI BibTeX RDF
16	Oliver Meyer 0002, Claus Weihs	Statistical analysis of sequential process chains based on Errors-in-Variables models.	SSCI	2016	DBLP DOI BibTeX RDF
16	Jun Zhang 0027, Gaorong Li, Zhenghui Feng	Checking the adequacy for a distortion errors-in-variables parametric regression model.	Comput. Stat. Data Anal.	2015	DBLP DOI BibTeX RDF
16	Bi-Qiang Mu, Han-Fu Chen	Recursive Identification of Multi-Input Multi-Output Errors-in-Variables Hammerstein Systems.	IEEE Trans. Autom. Control.	2015	DBLP DOI BibTeX RDF
16	Arne G. Dankers, Paul M. J. Van den Hof, Xavier Bombois, Peter S. C. Heuberger	Errors-in-variables identification in dynamic networks - Consistency results for an instrumental variable approach.	Autom.	2015	DBLP DOI BibTeX RDF
16	Wei Xia, Zhao Chen, Wuqing Wu, Jianjun Zhou	Local polynomial-brunk estimation in semi-parametric monotone errors-in-variables model with right-censored data.	J. Syst. Sci. Complex.	2015	DBLP DOI BibTeX RDF
16	Magnus Mossberg	On the use of two sampling strategies for solving an errors-in-variables problem.	ECC	2015	DBLP DOI BibTeX RDF
16	Roberto Diversi, Umberto Soverini	Identification of errors-in-variables models with colored output noise.	ECC	2015	DBLP DOI BibTeX RDF
16	Masato Ikenoue, Kiyoshi Wada	Generalized eigenvector method for errors-in-variables models identification.	CDC	2015	DBLP DOI BibTeX RDF
16	Abdelhakim Youcef, Roberto Diversi, Éric Grivel	Errors-in-variables identification of noisy moving average models.	EUSIPCO	2015	DBLP DOI BibTeX RDF