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Items 901–1,000 of 1,011
An Empirical Method for Optimal Robust Regional-Residual Separation of Geophysical Data
Wessel, P. (1998) · Mathematical Geology · doi:10.1023/a:1021744224009 · Cited by 71
Real-time tracking of highly articulated structures in the presence of noisy measurements
Drummond, T. W., & Cipolla, R. (2002) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2001.937642 · Cited by 71
Using spatial models as priors in astronomical image analysis
Molina, R., & Ripley, B. D. (1989) · Journal of Applied Statistics · doi:10.1080/02664768900000017 · Cited by 71
1.7 Parameter Optimization and Nonlinear Fitting
Šimůnek, J., & Hopmans, J. W. (2002) · Soil Science Society of America book series · doi:10.2136/sssabookser5.4.c7 · Cited by 71
THE ECONOMY OF THE BELGIAN REGIONS TESTED WITH MULTIMOORA
Brauers, W. K., & Ginevičius, R. (2010) · Journal of Business Economics and Management · doi:10.3846/jbem.2010.09 · Cited by 70
Adaptive robust Kalman filtering for precise point positioning
Guo, F., & Zhang, X. (2014) · Measurement Science and Technology · doi:10.1088/0957-0233/25/10/105011 · Cited by 70
Statistical estimation and interpretation of trends in water quality time series
Zetterqvist, L. (1991) · Water Resources Research · doi:10.1029/91wr00478 · Cited by 70
von Hessberg, C., von Hessberg, P., Pöschl, U., et al. (2009) · Atmospheric chemistry and physics · doi:10.5194/acp-9-3583-2009 · Cited by 70
Fuzzy Clustering for Data Time Arrays With Inlier and Outlier Time Trajectories
D’Urso, P. (2005) · IEEE Transactions on Fuzzy Systems · doi:10.1109/tfuzz.2005.856565 · Cited by 70
Development of Specific Tools for Analysis and Quantification of Pre-ignition in a Boosted SI Engine
Zaccardi, J.-M., Duval, L. C., & Pagot, A. (2009) · SAE International Journal of Engines · doi:10.4271/2009-01-1795 · Cited by 70
Static and Dynamic Robust PCA and Matrix Completion: A Review
Vaswani, N., & Narayanamurthy, P. (2018) · Proceedings of the IEEE · doi:10.1109/jproc.2018.2844126 · Cited by 69
Statistical Computing on Manifolds: From Riemannian Geometry to Computational Anatomy
Pennec, X. (2009) · Lecture notes in computer science · doi:10.1007/978-3-642-00826-9_16 · Cited by 73
Analysis of Support Vector Machines Regression
Tong, H., Chen, D., & Peng, L. (2008) · Foundations of Computational Mathematics · doi:10.1007/s10208-008-9026-0 · Cited by 71
Social roles and gender difference in the prevalence of common mental disorders
Weich, S., Sloggett, A., & Lewis, G. (1998) · The British Journal of Psychiatry · doi:10.1192/bjp.173.6.489 · Cited by 68
Júnior, O. A. D. C., Guimarães, R. F., Silva, N., et al. (2013) · Remote Sensing · doi:10.3390/rs5062763 · Cited by 69
Statistics and Quantitative Risk Management for Banking and Insurance
Paul Embrechts, A., & Hofert, M. (2014) · Annual Review of Statistics and Its Application · doi:10.1146/annurev-statistics-022513-115631 · Cited by 66
Nonlinear Dimensionality Reduction by Locally Linear Inlaying
Hou, Y., Zhang, P., Xu, X., Zhang, X., & Li, W. (2009) · IEEE Transactions on Neural Networks · doi:10.1109/tnn.2008.2005582 · Cited by 68
Convex Relaxations for Pose Graph Optimization With Outliers
Carlone, L., & Calafiore, G. C. (2018) · IEEE Robotics and Automation Letters · doi:10.1109/lra.2018.2793352 · Cited by 66
Bertsimas, D., Dunn, J., Pawlowski, C., et al. (2018) · INFORMS Journal on Optimization · doi:10.1287/ijoo.2018.0001 · Cited by 69
Robust gaussian and non-gaussian matched subspace detection
Desai, M. N., & Mangoubi, R. (2003) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2003.818907 · Cited by 69
Wakelinc, I. N., & MacFie, H. J. H. (1992) · Journal of Chemometrics · doi:10.1002/cem.1180060404 · Cited by 69
A One-Way Random Effects Model for Trimmed Means
Wilcox, R. R. (1994) · Psychometrika · doi:10.1007/bf02296126 · Cited by 69
Memory-based face recognition for visitor identification
Sim, T., Sukthankar, R., Mullin, M. D., & Baluja, S. (2002) · International Conference on Automatic Face and Gesture Recognition · doi:10.1109/afgr.2000.840637 · Cited by 69
Courty, N., & Corpetti, T. (2007) · Computer Animation and Virtual Worlds · doi:10.1002/cav.v18:4/5 · Cited by 69
Hurtado, S., Alvarado, A. R., & Guillermo-Wann, C. (2018) · JCSCORE · doi:10.15763/issn.2642-2387.2015.1.1.59-81 · Cited by 68
PET image reconstruction using multi-parametric anato-functional priors
Mehranian, A., Belzunce, M. A., Niccolini, F., et al. (2017) · Physics in Medicine and Biology · doi:10.1088/1361-6560/aa7670 · Cited by 68
Effects of individual toxic behavior on team performance in League of Legends
Monge, C. K., & O’Brien, T. C. (2021) · Media Psychology · doi:10.1080/15213269.2020.1868322 · Cited by 73
Towards a Concept of Political Robustness
Sørensen, E., & Ansell, C. (2021) · Political Studies · doi:10.1177/0032321721999974 · Cited by 76
ROBIN: a Graph-Theoretic Approach to Reject Outliers in Robust Estimation using Invariants
Shi, J., Yang, H., & Carlone, L. (2021) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/icra48506.2021.9562007 · Cited by 68
An integrated algorithm of incremental and robust PCA
Li, Y., Xu, L., Morphett, J., et al. (2004) · Proceedings - International Conference on Image Processing · doi:10.1109/icip.2003.1246944 · Cited by 68
Gugushvili, S., & Klaassen, C. A. J. (2012) · Bernoulli · doi:10.3150/11-bej362 · Cited by 71
Multivariate τ-estimators for location and scatter
Lopuhaä, H. P. (1991) · Canadian Journal of Statistics · doi:10.2307/3315391.n · Cited by 68
Video summarization by k-medoid clustering
Hadi, Y., Essannouni, F., & Thami, R. O. H. (2006) · ACM Symposium on Applied Computing · doi:10.1145/1141277.1141601 · Cited by 68
On the importance function in splitting simulation
Garvels, M. J. J., van Ommeren, J.-K. C. W., & Kroese, D. P. (2002) · European Transactions on Telecommunications · doi:10.1002/ett.4460130408 · Cited by 68
Dahyot, R. (2008) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2008.288 · Cited by 68
Robustf‐xprojection filtering for simultaneous random and erratic seismic noise attenuation
Chen, K., & Sacchi, M. D. (2016) · Geophysical Prospecting · doi:10.1111/1365-2478.12429 · Cited by 68
Robust compressive sensing of sparse signals: a review
Carrillo, R. E., Ramirez, A. B., Arce, G. R., Barner, K. E., & Sadler, B. M. (2016) · EURASIP Journal on Advances in Signal Processing · doi:10.1186/s13634-016-0404-5 · Cited by 66
Regularization strategies in statistical image reconstruction of low‐dose x‐ray CT : A review
Zhang, H., Wang, J., Zeng, D., Tao, X., & Ma, J. (2018) · Medical Physics · doi:10.1002/mp.13123 · Cited by 65
Robust methods for personal‐income distribution models
Victoria‐Feser, M., & Ronchetti, E. M. (1994) · Canadian Journal of Statistics · doi:10.2307/3315587 · Cited by 68
Non-line-of-sight error mitigation in mobile location
Li, C., & Zhuang, W. (2004) · IEEE Conference on Computer Communications (INFOCOM) · doi:10.1109/infcom.2004.1354536 · Cited by 68
Error Concealment in Encoded Video Streams
Salama, P., Shroff, N. B., & Delp, E. J. (1998) · Springer eBooks · doi:10.1007/978-1-4757-6514-4_7 · Cited by 68
Teenagers and alcohol misuse in the United States: by any definition, it's a big problem
Ellickson, P. L., McGuigan, K. A., Adams, V. H., et al. (1996) · Addiction · doi:10.1111/j.1360-0443.1996.tb02253.x · Cited by 68
The Maximum Consensus Problem: Recent Algorithmic Advances
Chin, T.-J., & Suter, D. (2017) · Synthesis lectures on computer vision · doi:10.2200/s00757ed1v01y201702cov011 · Cited by 60
Appearance Dissatisfaction, Body Appreciation, and Sexual Health in Women Across Adulthood
Robbins, A.-R., & Reissing, E. D. (2017) · Archives of Sexual Behavior · doi:10.1007/s10508-017-0982-9 · Cited by 89
Bellacicco, M., Cornec, M., Organelli, E., et al. (2019) · Geophysical Research Letters · doi:10.1029/2019gl084078 · Cited by 67
sccomp: Robust differential composition and variability analysis for single-cell data
Mangiola, S., Roth‐Schulze, A. J., Trussart, M., Zozaya‐Valdés, E., Ma, M., Gao, Z., Rubin, A. F., Speed, T. P., Shim, H., & Papenfuss, A. T. (2023) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2203828120 · Cited by 79
Civiero, C., Hammond, J. O. S., Goes, S. D. B., Fishwick, S., Ahmed, A., Ayele, A., Doubre, C., Goitom, B., Keir, D. B., Kendall, J. M., et al. (2015) · Geochemistry Geophysics Geosystems · doi:10.1002/2015gc005948 · Cited by 68
Multiple Linear Regression Model Under Nonnormality
Islam, M. Q., & TIKU, M. L. (2004) · Communication in Statistics- Theory and Methods · doi:10.1081/sta-200031519 · Cited by 67
Midi, H., Norazan, M. R., & Imon, A. H. M. R. (2009) · Journal of Applied Statistics · doi:10.1080/02664760802553463 · Cited by 67
Distributed, Robust Acoustic Source Localization in a Wireless Sensor Network
Liu, Y., Hu, Y. H., & Pan, Q. (2012) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2012.2199314 · Cited by 67
Onboard Image-Processing Algorithm for a Spacecraft Optical Navigation Sensor System
Christian, J. A., & Lightsey, E. G. (2012) · Journal of Spacecraft and Rockets · doi:10.2514/1.a32065 · Cited by 67
Robust extended multidelay filter and double-talk detector for acoustic echo cancellation
Buchner, H., Benesty, J., Gänsler, T., et al. (2006) · IEEE Transactions on Audio Speech and Language Processing · doi:10.1109/tsa.2005.858559 · Cited by 67
Automatic free parking space detection by using motion stereo-based 3D reconstruction
Suhr, J. K., Jung, H. G., Bae, K., & Kim, J. (2008) · Machine Vision and Applications · doi:10.1007/s00138-008-0156-9 · Cited by 67
Semenov, A., & KUVSHINOV, A. V. (2012) · Geophysical Journal International · doi:10.1111/j.1365-246x.2012.05665.x · Cited by 67
Active Shape Models with Invariant Optimal Features: Application to Facial Analysis
Sukno, F. M., Ordás, S., Butakoff, C., et al. (2007) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2007.1041 · Cited by 67
Review of the Space Mapping Approach to Engineering Optimization and Modeling
Bakr, M. H., Bandler, J. W., Madsen, K., et al. (2000) · Optimization and Engineering · doi:10.1023/a:1010000106286 · Cited by 67
Robust Nonstationary Regression
Phillips, P. C. B. (1995) · Econometric Theory · doi:10.1017/s0266466600009920 · Cited by 67
Optimal identification of regression-type processes under adaptively controlled observations
Платонов, А. А. (1994) · IEEE Transactions on Signal Processing · doi:10.1109/78.317851 · Cited by 67
4 Fourth Moments and Independent Component AnalysisPreprint
Miettinen, J., Taskinen, S., Nordhausen, K., et al. (2016) · Cited by 67
Heida, T., Wentink, E., & Marani, E. (2013) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/1743-0003-10-70 · Cited by 66
Human action segmentation with hierarchical supervoxel consistency
Lu, J., Xu, R., & Corso, J. J. (2015) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2015.7299000 · Cited by 60
Robust M–M unscented Kalman filtering for GPS/IMU navigation
Yang, C., Shi, W., & Chen, W. (2019) · Journal of Geodesy · doi:10.1007/s00190-018-01227-5 · Cited by 66
Brenner, S. D., Rainville, L., Thomson, J., Cole, S. T., & Lee, C. R. (2021) · Journal of Geophysical Research Oceans · doi:10.1029/2020jc016977 · Cited by 70
Taylor, N. J. (1998) · Applied Financial Economics · doi:10.1080/096031098333186 · Cited by 66
Adaptively robust filter with multi adaptive factors
Yang, Y., & Cui, X. (2008) · Survey Review · doi:10.1179/003962608x325330 · Cited by 66
Eitle, D. J., & Monahan, S. C. (2009) · Justice Quarterly · doi:10.1080/07418820802427817 · Cited by 68
Identifying multiple influential observations in linear regression
Imon, A. H. M. R. (2005) · Journal of Applied Statistics · doi:10.1080/02664760500163599 · Cited by 66
An adaptive exponentially weighted moving average control chart for monitoring process variances
Shu, L. (2008) · Journal of Statistical Computation and Simulation · doi:10.1080/00949650601108000 · Cited by 65
Risk Measures and Robust Optimization Problems
Schied, A. (2006) · Stochastic Models · doi:10.1080/15326340600878677 · Cited by 66
Efficient Huber-Markov Edge-Preserving Image Restoration
Pan, R., & Reeves, S. J. (2006) · IEEE Transactions on Image Processing · doi:10.1109/tip.2006.881971 · Cited by 66
Distributed Sensing for Quality and Productivity Improvements
Ding, Y. C., Elsayed, E. A., Kumara, S. R. T., Lu, J., Niu, F., & Shi, J. (2006) · IEEE Transactions on Automation Science and Engineering · doi:10.1109/tase.2006.876610 · Cited by 66
A study of inter-lab and inter-platform agreement of DNA microarray data
WANG, H. J., He, X., Band, M., Wilson, C., & Liu, L. (2005) · BMC Genomics · doi:10.1186/1471-2164-6-71 · Cited by 66
Joint modelling of location and scale parameters of the t distribution
Taylor, J., & Verbyla, A. P. (2004) · Statistical Modelling · doi:10.1191/1471082x04st068oa · Cited by 65
Inversion of large-support ill-posed linear operators using a piecewise Gaussian MRF
Nikolova, M., Idier, J., & Mohammad‐Djafari, A. (1998) · IEEE Transactions on Image Processing · doi:10.1109/83.663502 · Cited by 66
Using spatial models as priors in astronomical image analysis
Molina, R., & Ripley, B. D. (1993) · Journal of Applied Statistics · doi:10.1080/02664769300000067 · Cited by 66
Robust Regression in StataPreprint
Verardi, V., & Croux, C. (2009) · SSRN Electronic Journal · doi:10.2139/ssrn.1369144 · Cited by 66
Crises and Hedge Fund RiskPreprint
Billio, M., Sherman, M. G., & Pelizzon, L. (2008) · SSRN Electronic Journal · doi:10.2139/ssrn.1130742 · Cited by 66
Poussin, C., Mathis, C., Alexopoulos, L. G., et al. (2014) · Scientific Data · doi:10.1038/sdata.2014.9 · Cited by 66
Training data influence analysis and estimation: a survey
Hammoudeh, Z., & Lowd, D. (2024) · Machine Learning · doi:10.1007/s10994-023-06495-7 · Cited by 136
Template Matching for Auditing Hospital Cost and Quality
Silber, J. H., Rosenbaum, P. R., Ross, R. N., Ludwig, J. M., Wang, W., Niknam, B. A., Mukherjee, N., Saynisch, P. A., Even‐Shoshan, O., Kelz, R. R., et al. (2014) · Health Services Research · doi:10.1111/1475-6773.12156 · Cited by 64
Robust Mean and Covariance Structure Analysis Through Iteratively Reweighted Least Squares
Yuan, K., & Bentler, P. M. (2000) · Psychometrika · doi:10.1007/bf02294185 · Cited by 64
Recursive information granulation: aggregation and interpretation issues
Bargiela, A., & Pedrycz, W. (2003) · IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) · doi:10.1109/tsmcb.2003.808190 · Cited by 65
The Deflation-Based FastICA Estimator: Statistical Analysis Revisited
Ollila, E. (2009) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2009.2036072 · Cited by 65
Outlier-Robust Greedy Pursuit Algorithms in $\ell _{p}$ -Space for Sparse Approximation
Zeng, W., So, H. C., & Jiang, X. (2015) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2015.2477047 · Cited by 65
Robust and Low-Rank Representation for Fast Face Identification With Occlusions
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Imbalanced TSK Fuzzy Classifier by Cross-Class Bayesian Fuzzy Clustering and Imbalance Learning
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Joseph, A. D., Nelson, B. A., Rubinstein, B. I. P., & Tygar, J. D. (2019) · Cambridge University Press eBooks · doi:10.1017/9781107338548 · Cited by 71
Hornberger, J. C., Thom, D. H., & MaCurdy, T. E. (1997) · Journal of General Internal Medicine · doi:10.1046/j.1525-1497.1997.07119.x · Cited by 64
Computational Methods for Task-directed Sensor Data Fusion and Sensor Planning
Hager, G., & Mintz, M. (1991) · The International Journal of Robotics Research · doi:10.1177/027836499101000401 · Cited by 65
A robust AMMI model for the analysis of genotype-by-environment data
Rodrigues, P. C., Monteiro, A., & Lourenço, V. (2015) · Bioinformatics · doi:10.1093/bioinformatics/btv533 · Cited by 64
Robust Hypothesis Testing With a Relative Entropy Tolerance
Levy, B. C. (2009) · IEEE Transactions on Information Theory · doi:10.1109/tit.2008.2008128 · Cited by 64
DESMEX: A novel system development for semi-airborne electromagnetic exploration
Becken, M., Nittinger, C., Smirnova, M., et al. (2020) · Geophysics · doi:10.1190/geo2019-0336.1 · Cited by 64
Evidence of thermally induced borehole elongation: a case study at Soultz, France
Bérard, T., & Cornet, F. (2003) · International Journal of Rock Mechanics and Mining Sciences · doi:10.1016/s1365-1609(03)00118-7 · Cited by 64
Al-Anazi, A. F., & Gates, I. D. (2010) · SPE Reservoir Evaluation & Engineering · doi:10.2118/126339-pa · Cited by 71
A law of the iterated logarithm under sublinear expectations
Chen, Z., & Hu, F. (2014) · Journal of Financial Engineering · doi:10.1142/s2345768614500159 · Cited by 64
A Majorize–Minimize Strategy for Subspace Optimization Applied to Image Restoration
Chouzenoux, É., Idier, J., & Moussaoui, S. (2011) · IEEE Transactions on Image Processing · doi:10.1109/tip.2010.2103083 · Cited by 64
Zhang, F., Li, Q., Yerger, E. H., et al. (2018) · Mycorrhiza · doi:10.1007/s00572-018-0866-4 · Cited by 64
Elkholy, A., Hussein, M. E., Gomaa, W. E., Damen, D., & Saba, E. K. A. (2019) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2019.2904321 · Cited by 64
COUSIN (COdon Usage Similarity INdex): A Normalized Measure of Codon Usage Preferences
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A robust geostatistical approach to contaminant source identification
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Metadata
- Authors
- Huber, P. J.
- Corresponding author
- Huber, Peter J.
- Venue
- Wiley Series in Probability and Statistics
- Publisher
- Wiley
- Published
- 1981-02-19
- ISSN
- 1940-6347 (ISSN-L)
- OpenAlex
- W2489822048
- Cited by
- 7,066
- References
- 0
- Citations by year
- 2026: 174 · 2025: 176 · 2024: 120 · 2023: 126 · 2022: 186 · 2021: 192 · 2020: 193 · 2019: 218 · 2018: 232 · 2017: 205 · 2016: 195 · 2015: 204 · 2014: 279 · 2013: 247 · 2012: 247
- FWCI
- 21.12
- Type
- book
- Language
- en
- Open access
- closed
- Locations
- Wiley series in probability and statistics (publishedVersion)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Advanced Statistical Methods and Models
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Distribution Estimation and Applications
- Physical Sciences › Mathematics › Statistics and Probability › Probability and Statistical Research
- Keywords
- robust statistics, outliers, influence function, robust estimation
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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