The DOI matches its Crossref record.
Robust Statistics
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Citations
Cited by
Sorted by citations
Items 601–700 of 1,011
Inverse halftoning via MAP estimation
Stevenson, R. L. (1997) · IEEE Transactions on Image Processing · doi:10.1109/83.563322 · Cited by 108
Toward improved ranking metrics
Sebe, N., Lew, M. S., & Huijsmans, D. P. (2000) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.879793 · Cited by 108
Evaluating Asset-Market Effects of Unconventional Monetary Policy: A Cross-Country ComparisonPreprint
Rogers, J. H., Scotti, C., & Wright, J. H. (2014) · SSRN Electronic Journal · doi:10.2139/ssrn.2420387 · Cited by 108
Wang, Y., & Yang, L. (2021) · International Journal of Robust and Nonlinear Control · doi:10.1002/rnc.5718 · Cited by 107
Improved diffusion imaging through SNR‐enhancing joint reconstruction
Haldar, J. P., Wedeen, V. J., Nezamzadeh, M., Dai, G., Weiner, M. W., Schuff, N. W., & Liang, Z. (2012) · Magnetic Resonance in Medicine · doi:10.1002/mrm.24229 · Cited by 106
Occlusion robust adaptive template tracking
Nguyen, H. T., Worring, M., & van den Boomgaard, R. (2002) · IEEE International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2001.937587 · Cited by 107
A real-time tracker for markerless augmented reality
Comport, A. I., Marchand, É., & Chaumette, F. (2004) · Proceedings - International Symposium on Mixed and Augmented Reality, ISMAR · doi:10.1109/ismar.2003.1240686 · Cited by 110
Errors and Parameter Estimation in Precipitation‐Runoff Modeling: 1. Theory
Troutman, B. M. (1985) · Water Resources Research · doi:10.1029/wr021i008p01195 · Cited by 107
Adaptive view-based appearance models
Morency, L.-P., Rahimi, A., & Darrell, T. J. (2003) · 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.2003.1211435 · Cited by 107
Agostinelli, C., Leung, A., Yohai, V. J., et al. (2015) · Test · doi:10.1007/s11749-015-0450-6 · Cited by 106
The Percentage Bend Correlation Coefficient
Wilcox, R. R. (1994) · Psychometrika · doi:10.1007/bf02294395 · Cited by 105
Zhao, J., & Mili, L. (2019) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2019.2908910 · Cited by 109
Identification of Sources Contributing to Mid-Atlantic Regional Aerosol
Lee, J., Yoshida, Y., Turpin, B. J., et al. (2002) · Journal of the Air & Waste Management Association · doi:10.1080/10473289.2002.10470850 · Cited by 106
STATISTICAL INFERENCES BASED ON A SECOND-ORDER POSSIBILITY DISTRIBUTION
Walley, P. (1997) · International Journal of General Systems · doi:10.1080/03081079708945189 · Cited by 106
Statistical guidelines forApis melliferaresearch
Pirk, C. W. W., de Miranda, J. R., Kramer, M., Murray, T. E., Nazzi, F., Dave Shutler, A., van der Steen, J. J. M., & van Dooremalen, C. (2013) · Journal of Apicultural Research · doi:10.3896/ibra.1.52.4.13 · Cited by 108
A Controlled Experiment in Ground Water Flow Model Calibration
Hill, M. C., Cooley, R. L., & Pollock, D. W. (1998) · Ground Water · doi:10.1111/j.1745-6584.1998.tb02824.x · Cited by 106
On Tyler's M-Functional of Scatter in High Dimension
Dümbgen, L. (1998) · Annals of the Institute of Statistical Mathematics · doi:10.1023/a:1003573311481 · Cited by 105
Ogulei, D., Hopke, P. K., & Wallace, L. A. (2006) · Indoor Air · doi:10.1111/j.1600-0668.2006.00418.x · Cited by 105
A digital image correlation method for fatigue test experiments
Vanlanduit, S., Vanherzeele, J., Longo, R., et al. (2008) · Optics and Lasers in Engineering · doi:10.1016/j.optlaseng.2008.03.016 · Cited by 105
Sparse Adaptive Filters for Echo Cancellation
Paleologu, C., Benesty, J., & Ciochină, S. (2010) · Synthesis lectures on speech and audio processing · doi:10.2200/s00289ed1v01y201006sap006 · Cited by 105
From accurate range imaging sensor calibration to accurate model-based 3D object localization
Champleboux, G., Lavallée, S., Szeliski, R., et al. (2003) · 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.1992.223223 · Cited by 105
Dynamic belief networks for discrete monitoring
Nicholson, A. E., & Brady, J. M. (1994) · IEEE Transactions on Systems Man and Cybernetics · doi:10.1109/21.328910 · Cited by 105
Ll-filters-a new class of order statistic filters
Palmieri, F., & Boncelet, C. (1989) · IEEE Transactions on Acoustics Speech and Signal Processing · doi:10.1109/29.17561 · Cited by 105
Robustness and Sensitivity Analysis of Risk Measurement ProceduresPreprint
Cont, R., Deguest, R., & Scandolo, G. (2008) · SSRN Electronic Journal · doi:10.2139/ssrn.1086698 · Cited by 105
Point Set Registration via Particle Filtering and Stochastic Dynamics
Sandhu, R., Dambreville, S., & Tannenbaum, A. (2009) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2009.142 · Cited by 104
Universal Impulse Noise Filter Based on Genetic Programming
Petrović, N., & Crnojevic, V. S. (2008) · IEEE Transactions on Image Processing · doi:10.1109/tip.2008.924388 · Cited by 104
Electricity forecasting on the individual household level enhanced based on activity patterns
Gajowniczek, K., & Ząbkowski, T. (2017) · PLoS ONE · doi:10.1371/journal.pone.0174098 · Cited by 104
Blind Image Deblurring with Outlier Handling
Dong, J., Pan, J., Su, Z., et al. (2017) · IEEE International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2017.271 · Cited by 104
Registration of CAD-models to images by iterative inverse perspective matching
Wunsch, P., & Hirzinger, G. (1996) · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition · doi:10.1109/icpr.1996.545995 · Cited by 104
Unit Root Tests Based on M Estimators
Lucas, A. (1995) · Econometric Theory · doi:10.1017/s0266466600009191 · Cited by 104
Zhu, T., Liu, J., Beck, S., Pan, S., Capper, D., Lechner, M., Thirlwell, C., Breeze, C. E., & Teschendorff, A. E. (2022) · Nature Methods · doi:10.1038/s41592-022-01412-7 · Cited by 103
Multivariate Generalized Gaussian Distribution: Convexity and Graphical Models
Zhang, T., Wiesel, A., & Greco, M. (2013) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2013.2267740 · Cited by 103
High CO 2 fluxes from grassland on histic Gleysol along soil carbon and drainage gradients
Leiber-Sauheitl, K., Fuß, R., Voigt, C., & Freibauer, A. (2014) · Biogeosciences · doi:10.5194/bg-11-749-2014 · Cited by 103
What Is Kurtosis?: An Influence Function Approach
Ruppert, D. (1987) · The American Statistician · doi:10.1080/00031305.1987.10475431 · Cited by 130
On robust linear prediction of speech
Lee, C.-H. (1988) · IEEE Transactions on Acoustics Speech and Signal Processing · doi:10.1109/29.1574 · Cited by 103
Robust L-estimation based forms of signal transforms and time-frequency representations
Djurović, I., Stanković, L., & Böhme, J. F. (2003) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2003.812739 · Cited by 102
Katkovnik, V. Y. (1998) · IEEE Transactions on Signal Processing · doi:10.1109/78.726825 · Cited by 102
Robust Time-Varying Load Modeling for Conservation Voltage Reduction Assessment
Zhao, J., Wang, Z., & Wang, J. (2016) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2016.2630027 · Cited by 102
A Biweight Approach to the One-Sample Problem
Kafadar, K. (1982) · Journal of the American Statistical Association · doi:10.1080/01621459.1982.10477827 · Cited by 105
Robust weighted averaging [of biomedical signals]
Łęski, J. M. (2002) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2002.800757 · Cited by 102
Fast algorithms for lpdeconvolution
Yarlagadda, R., Bednar, J. B., & Watt, T. (1985) · IEEE Transactions on Acoustics Speech and Signal Processing · doi:10.1109/tassp.1985.1164508 · Cited by 102
Conditional empirical processes
Gaenssler, P., & Stute, W. (1987) · Oberwolfach Seminars · doi:10.1007/978-3-0348-6269-1_4 · Cited by 102
Importance Sampling for Bootstrap Confidence Intervals
Johns, M. V. (1988) · Journal of the American Statistical Association · doi:10.1080/01621459.1988.10478651 · Cited by 111
Association of Sleep and β-Amyloid Pathology Among Older Cognitively Unimpaired Adults
Insel, P. S., Mohlenhoff, B. S., Neylan, T. C., Krystal, A. D., & Mackin, R. S. (2021) · JAMA Network Open · doi:10.1001/jamanetworkopen.2021.17573 · Cited by 97
Linear Minimax Regret Estimation of Deterministic Parameters with Bounded Data Uncertainties
Eldar, Y. C., Ben‐Tal, A., & Nemirovski, A. S. (2004) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2004.831144 · Cited by 101
Haddad, D., Seifert, F. C., Chao, L., et al. (2017) · Metrologia · doi:10.1088/1681-7575/aa7bf2 · Cited by 100
Sensor Data Cryptography in Wireless Sensor Networks
Aysal, T. C., & Barner, K. E. (2008) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2008.919119 · Cited by 100
Robust Rendezvous Navigation in Elliptical Orbit
Karlgaard, C. D. (2006) · Journal of Guidance Control and Dynamics · doi:10.2514/1.19148 · Cited by 99
Breakdown theory for bootstrap quantiles
Singh, K. (1998) · The Annals of Statistics · doi:10.1214/aos/1024691354 · Cited by 99
Robust Distance Measures for Face-Recognition Supporting Revocable Biometric Tokens.
Boult, T. E. (2006) · International Conference on Automatic Face and Gesture Recognition · doi:10.1109/fgr.2006.94 · Cited by 99
Efficient and Robust Recovery of Sparse Signal and Image Using Generalized Nonconvex Regularization
Wen, F., Pei, L., Yang, Y., Yu, W., & Liu, P. (2017) · IEEE Transactions on Computational Imaging · doi:10.1109/tci.2017.2744626 · Cited by 95
Ritzwoller, M. H., Masters, G., & Gilbert, F. (1988) · Journal of Geophysical Research Atmospheres · doi:10.1029/jb093ib06p06369 · Cited by 97
UBVRInight sky brightness during sunspot maximum at ESO-Paranal
Patat, F. (2003) · Astronomy and Astrophysics · doi:10.1051/0004-6361:20030030 · Cited by 99
Wavelet-Generalized Least Squares: A New BLU Estimator of Linear Regression Models with 1/f Errors
Fadili, J. M., & Bullmore, E. T. (2002) · NeuroImage · doi:10.1006/nimg.2001.0955 · Cited by 99
Wei, W. W. S. (2019) · Wiley series in probability and statistics · doi:10.1002/9781119502951.ch6 · Cited by 98
Zhou, Y., Chan, S. C., & Ho, K. L. (2010) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2010.2098359 · Cited by 98
Identifying and treating outliers in finance
Adams, J. C., Hayunga, D. K., Mansi, S., Reeb, D. M., & Verardi, V. (2019) · Financial Management · doi:10.1111/fima.12269 · Cited by 101
Raguram, R., White, A. M., Goswami, D., et al. (2011) · Proceedings of the ACM Conference on Computer and Communications Security · doi:10.1145/2046707.2046769 · Cited by 98
Dually Optimal Neuronal Layers: Lobe Component Analysis
Weng, J., & Luciw, M. (2009) · IEEE Transactions on Autonomous Mental Development · doi:10.1109/tamd.2009.2021698 · Cited by 98
ANOVA: A Paradigm for Low Power and Misleading Measures of Effect Size?
Wilcox, R. R. (1995) · Review of Educational Research · doi:10.3102/00346543065001051 · Cited by 106
Randomized smoothing for (parallel) stochastic optimization
Duchi, J. C., Bartlett, P. L., & Wainwright, M. J. (2012) · IEEE Conference on Decision and Control (CDC) · doi:10.1109/cdc.2012.6426698 · Cited by 112
Reference ranges for fetal ventricular width: a non‐normal approach
Salomon, L. J., Bernard, J. P., & Ville, Y. G. (2007) · Ultrasound in Obstetrics and Gynecology · doi:10.1002/uog.4026 · Cited by 97
Liu, Y., Wu, A. D., & Zumbo, B. D. (2009) · Educational and Psychological Measurement · doi:10.1177/0013164409344548 · Cited by 99
Iff the Assumption Fits…: A Comment on the King Ecological Inference Solution
Cho, W. K. T. (1998) · Political Analysis · doi:10.1093/pan/7.1.143 · Cited by 97
Bagnulo, S., Landstreet, J. D., Mason, E., Andretta, V., Silaj, J., & Wade, G. A. (2006) · arXiv (Cornell University) · doi:10.48550/arxiv.astro-ph/0601516 · Cited by 97
Robust stochastic resonance: Signal detection and adaptation in impulsive noise
Kosko, B., & Mitaim, S. (2001) · Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics · doi:10.1103/physreve.64.051110 · Cited by 96
Online fingerprint template improvement
Jiang, X., & Ser, W. (2002) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2002.1023807 · Cited by 96
Dynamic field map estimation using a spiral‐in/spiral‐out acquisition
Sutton, B. P., Noll, D. C., & Fessler, J. A. (2004) · Magnetic Resonance in Medicine · doi:10.1002/mrm.20079 · Cited by 96
Rohlhill, J., Sandoval, N. R., & Papoutsakis, E. T. (2017) · ACS Synthetic Biology · doi:10.1021/acssynbio.7b00114 · Cited by 96
Direct observations of a surface eigenmode of the dayside magnetopause
Archer, M. O., Hietala, H., Hartinger, M. D., Plaschke, F., & Angelopoulos, V. (2019) · Nature Communications · doi:10.1038/s41467-018-08134-5 · Cited by 96
Jääskelä, P., Heilala, V., Kärkkäinen, T., & Häkkinen, P. (2020) · Behaviour and Information Technology · doi:10.1080/0144929x.2020.1725130 · Cited by 117
The Planck clusters in the LOFAR sky
Botteon, A., Shimwell, T. W., Cassano, R., Cuciti, V., Zhang, X., Bruno, L., Camillini, L., Natale, R., Jones, A., Gastaldello, F., et al. (2022) · Astronomy and Astrophysics · doi:10.1051/0004-6361/202143020 · Cited by 95
Chakraborty, S., Weindorf, D. C., Morgan, C. L. S., Ge, Y., Galbraith, J. M., Li, B., & Kahlon, C. S. (2010) · Journal of Environmental Quality · doi:10.2134/jeq2010.0183 · Cited by 95
Stability and sensitivity-analysis for stochastic programming
Dupačová, J. (1990) · Annals of Operations Research · doi:10.1007/bf02055193 · Cited by 95
A completeness analysis of the National Seismic Network of Italy
Schorlemmer, D., Mele, F., & Marzocchi, W. (2010) · Journal of Geophysical Research Atmospheres · doi:10.1029/2008jb006097 · Cited by 95
Yang, Y. (1991) · Bulletin Géodésique · doi:10.1007/bf00806343 · Cited by 95
Robustness of variograms and conditioning of kriging matrices
Diamond, P., & Armstrong, M. (1984) · Mathematical Geology · doi:10.1007/bf01036706 · Cited by 95
Model-based planning of optimal sensor placements for inspection
Trucco, E., Umasuthan, M., Wallace, A. M., et al. (1997) · IEEE Transactions on Robotics and Automation · doi:10.1109/70.563641 · Cited by 95
An Analysis of the Indicator Saturation Estimator as a Robust Regression EstimatorPreprint
Johansen, S., & Nielsen, B. J. (2008) · SSRN Electronic Journal · doi:10.2139/ssrn.1129770 · Cited by 95
Robust Estimation and Outlier Detection for Overdispersed Multinomial Models of Count Data
Mebane, W. R., & Sekhon, J. S. (2004) · American Journal of Political Science · doi:10.1111/j.0092-5853.2004.00077.x · Cited by 94
State-Space Frequency-Domain Adaptive Filtering for Nonlinear Acoustic Echo Cancellation
Malik, S., & Enzner, G. (2012) · IEEE Transactions on Audio Speech and Language Processing · doi:10.1109/tasl.2012.2196512 · Cited by 94
A Sparsity-Based Method for the Estimation of Spectral Lines From Irregularly Sampled Data
Bourguignon, S., Carfantan, H., & Idier, J. (2007) · IEEE Journal of Selected Topics in Signal Processing · doi:10.1109/jstsp.2007.910275 · Cited by 94
A generalized learning paradigm exploiting the structure of feedforward neural networks
Parisi, R., Claudio, E. D. D., Orlandi, G., et al. (1996) · IEEE Transactions on Neural Networks · doi:10.1109/72.548172 · Cited by 94
Stereo matching with non-linear diffusion
Scharstein, D., & Szeliski, R. (1996) · 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.1996.517095 · Cited by 94
Robust methods in econometrics
Koenker, R. W. (1982) · Econometric Reviews · doi:10.1080/07311768208800017 · Cited by 93
Convergence and Stability of Iteratively Re-weighted Least Squares Algorithms
Ba, D. E., Babadi, B., Purdon, P. L., & Brown, E. N. (2013) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2013.2287685 · Cited by 89
Correlation Between BOLD fMRI and Theta-Band Local Field Potentials in the Human Hippocampal Area
Ekstrom, A. D., Suthana, N., Millett, D., Fried, I., & Bookheimer, S. Y. (2009) · Journal of Neurophysiology · doi:10.1152/jn.91252.2008 · Cited by 96
Nonlinear Regression Huber–Kalman Filtering and Fixed-Interval Smoothing
Karlgaard, C. D. (2014) · Journal of Guidance Control and Dynamics · doi:10.2514/1.g000799 · Cited by 93
On global and local convergence of half-quadratic algorithms
Allain, M., Idier, J., & Goussard, Y. (2006) · IEEE Transactions on Image Processing · doi:10.1109/tip.2005.864173 · Cited by 93
Distance Learning for Similarity Estimation
Yu, J., Amores, J., Sebe, N., et al. (2008) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2007.70714 · Cited by 93
The efficacy of fuzzy representations of uncertainty
Laviolette, M., & Seaman, J. W. (1994) · IEEE Transactions on Fuzzy Systems · doi:10.1109/91.273116 · Cited by 92
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., BELL, R. M., & Hays, R. D. (1996) · Addiction · doi:10.1046/j.1360-0443.1996.911014898.x · Cited by 96
Robust Governance in Turbulent Times
Ansell, C., Sørensen, E., Torfing, J., & Trondal, J. (2024) · Cambridge University Press eBooks · doi:10.1017/9781009433006 · Cited by 109
Gray, C., Frankenberg, E., Gillespie, T., Sumantri, C. S., & Thomas, D. (2014) · Annals of the Association of American Geographers · doi:10.1080/00045608.2014.892351 · Cited by 90
Vanlanduit, S., Parloo, E., Cauberghe, B., Guillaume, P., & Verboven, P. (2004) · Journal of Sound and Vibration · doi:10.1016/j.jsv.2004.07.016 · Cited by 92
Robust model-based tracking for robot vision
Comport, A. I., Marchand, É., & Chaumette, F. (2005) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros.2004.1389433 · Cited by 92
Global projections of drought hazard in a warming climate: a prime for disaster risk management
Carrão, H., Naumann, G., & Barbosa, P. (2017) · Climate Dynamics · doi:10.1007/s00382-017-3740-8 · Cited by 96
Ogulei, D., Hopke, P. K., Chalupa, D., et al. (2007) · Aerosol Science and Technology · doi:10.1080/02786820601116012 · Cited by 91
Divisive Conditioning: Further Results on Dilation
Herron, T. J., Seidenfeld, T., & Wasserman, L. (1997) · Philosophy of Science · doi:10.1086/392559 · Cited by 91
Optimal control of hydraulically driven parallel robot platform based on firefly algorithm
Nedić, N. N., Stojanović, V., & Djordjevic, V. (2015) · Nonlinear Dynamics · doi:10.1007/s11071-015-2252-5 · Cited by 91
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
About these checks
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review