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Robust Statistics
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Items 301–400 of 1,011
Statistical Themes and Lessons for Data Mining
Glymour, C., Madigan, D., Pregibon, D., & Smyth, P. (1997) · Data Mining and Knowledge Discovery · doi:10.1023/a:1009773905005 · Cited by 199
Data-Driven Soft Sensor Approach for Quality Prediction in a Refining Process
Wang, D., Liu, J., & Srinivasan, R. (2009) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2009.2025124 · Cited by 198
Learning models with uniform performance via distributionally robust optimization
Duchi, J. C., & Namkoong, H. (2021) · The Annals of Statistics · doi:10.1214/20-aos2004 · Cited by 335
Robust-resistant spectrum estimation
Martin, R. D., & Thomson, D. J. (1982) · Proceedings of the IEEE · doi:10.1109/proc.1982.12434 · Cited by 197
Chan, S. C., & Zou, Y. (2004) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2004.823496 · Cited by 197
Correlation of Peripheral-Blood Gene Expression With the Extent of Coronary Artery Stenosis
Wingrove, J. A., Daniels, S. E., Sehnert, A. J., Tingley, W. G., Elashoff, M. R., Rosenberg, S. J., Buellesfeld, L., Grube, E., Newby, L. K., Ginsburg, G. S., et al. (2008) · Circulation Cardiovascular Genetics · doi:10.1161/circgenetics.108.782730 · Cited by 198
Income inequality and the prevalence of common mental disorders in Britain
Weich, S., Lewis, G., & Jenkins, S. P. (2001) · The British Journal of Psychiatry · doi:10.1192/bjp.178.3.222 · Cited by 187
Industry Clockspeed: Measurement and Operational Implications
Mendelson, H., & Pillai, R. R. (1999) · Manufacturing & Service Operations Management · doi:10.1287/msom.1.1.1 · Cited by 192
The loss function of sensorimotor learning
Kording, K. P., & Wolpert, D. M. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0308394101 · Cited by 190
A gentle introduction to bilateral filtering and its applications
Paris, S., Kornprobst, P., Tumblin, J., & Durand, F. (2007) · ACM SIGGRAPH Courses · doi:10.1145/1281500.1281602 · Cited by 211
Hopson, T. M., & Webster, P. J. (2009) · Journal of Hydrometeorology · doi:10.1175/2009jhm1006.1 · Cited by 193
Distributed Detection in the Presence of Byzantine Attacks
Maranò, S., Matta, V., & Tong, L. (2008) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2008.2007335 · Cited by 185
On representation theorem of G-expectations and paths of G-Brownian motion
Hu, M., & Péng, S. (2009) · Acta Mathematicae Applicatae Sinica English Series · doi:10.1007/s10255-008-8831-1 · Cited by 191
Robust support vector regression networks for function approximation with outliers
Chuang, C., Su, S., Jeng, J.-T., & Hsiao, C.-C. (2002) · IEEE Transactions on Neural Networks · doi:10.1109/tnn.2002.804227 · Cited by 191
Back to the Basics in Banking? A Micro-Analysis of Banking System StabilityPreprint
Jonghe, O. D. (2009) · SSRN Electronic Journal · doi:10.2139/ssrn.1396442 · Cited by 191
Interior-Point Methods for Massive Support Vector Machines
Ferris, M. C., & Munson, T. (2002) · SIAM Journal on Optimization · doi:10.1137/s1052623400374379 · Cited by 180
Efficient, robust and accurate fitting of a 3D morphable model
Romdhani, & Vetter (2003) · Proceedings Ninth IEEE International Conference on Computer Vision · doi:10.1109/iccv.2003.1238314 · Cited by 189
WAVES: weighted average of signal subspaces for robust wideband direction finding
Claudio, E. D. D., & Parisi, R. (2001) · IEEE Transactions on Signal Processing · doi:10.1109/78.950774 · Cited by 188
Robust linear and support vector regression
Mangasarian, O. L., & Musicant, D. R. (2000) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.877518 · Cited by 185
Nonparametric model checks for time series
Koul, H. L., & Stute, W. (1999) · The Annals of Statistics · doi:10.1214/aos/1018031108 · Cited by 188
Robust averaging during perceptual judgment
de Gardelle, V., & Summerfield, C. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1104517108 · Cited by 196
Efficient Hand Pose Estimation from a Single Depth Image
Xu, C. Y., & Cheng, L. (2013) · IEEE International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2013.429 · Cited by 187
Gaussian mixture density modeling, decomposition, and applications
Zhuang, X., Huang, Y., Palaniappan, K., et al. (1996) · IEEE Transactions on Image Processing · doi:10.1109/83.535841 · Cited by 187
Neural networks for solving systems of linear equations and related problems
Cichocki, A. S., & Unbehauen, R. (1992) · IEEE Transactions on Circuits and Systems I Fundamental Theory and Applications · doi:10.1109/81.167018 · Cited by 187
Efficient View-Based SLAM Using Visual Loop Closures
Mahon, I., Williams, S. B., Pizarro, O. R., & Johnson‐Roberson, M. (2008) · IEEE Transactions on Robotics · doi:10.1109/tro.2008.2004888 · Cited by 182
Large sample theory of intrinsic and extrinsic sample means on manifolds—II
Bhattacharya, R. N., & Patrangenaru, V. (2005) · The Annals of Statistics · doi:10.1214/009053605000000093 · Cited by 186
Suzuki, T. (2011) · Journal of Sound and Vibration · doi:10.1016/j.jsv.2011.05.021 · Cited by 184
Robustness properties of S-estimators of multivariate location and shape in high dimension
Rocke, D. M. (1996) · The Annals of Statistics · doi:10.1214/aos/1032526972 · Cited by 183
A dispersion modelling system SILAM and its evaluation against ETEX data
Sofiev, M. A., Siljamo, P., Valkama, I., et al. (2005) · Atmospheric Environment · doi:10.1016/j.atmosenv.2005.09.069 · Cited by 182
Car plate recognition by neural networks and image processing
Parisi, R., Claudio, E. D. D., Lucarelli, G., et al. (2002) · IEEE International Symposium on Circuits and Systems proceedings · doi:10.1109/iscas.1998.703970 · Cited by 182
Vigouroux, C., Langerock, B., Aquino, C. A. B., Blumenstock, T., Cheng, Z., Maziere, M. M. D., Smedt, I. D., Grutter, M., Hannigan, J. W., Jones, N., et al. (2020) · Atmospheric measurement techniques · doi:10.5194/amt-13-3751-2020 · Cited by 181
Possibility Theory, Probability and Fuzzy Sets Misunderstandings, Bridges and Gaps
Dubois, D., Nguyen, H. T., & Prade, H. (2000) · The Handbooks of fuzzy sets series · doi:10.1007/978-1-4615-4429-6_8 · Cited by 182
Silvapulle, P., Moosa, I. A., & Silvapulle, M. J. (2004) · Canadian Journal of Economics/Revue canadienne d économique · doi:10.1111/j.0008-4085.2004.00006.x · Cited by 187
The Breakdown Points of the Mean Combined With Some Rejection Rules
Hampel, F. R. (1985) · Technometrics · doi:10.1080/00401706.1985.10488027 · Cited by 187
Photographing long scenes with multi-viewpoint panoramas
Agarwala, A., Agrawala, M., Cohen, M., Salesin, D., & Szeliski, R. (2006) · ACM Transactions on Graphics · doi:10.1145/1141911.1141966 · Cited by 179
Robust Estimation of Nonrigid Transformation for Point Set Registration
Ma, J., Zhao, J. Y., Tian, J., et al. (2013) · 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.2013.279 · Cited by 179
Robins, J. M., & Greenland, S. (1994) · Journal of the American Statistical Association · doi:10.1080/01621459.1994.10476807 · Cited by 181
Fractal modeling and segmentation for the enhancement of microcalcifications in digital mammograms
Li, H., Liu, K. J. R., & Lo, S.-C. B. (1997) · IEEE Transactions on Medical Imaging · doi:10.1109/42.650875 · Cited by 179
A common framework for image segmentation
Geiger, D., & Yuille, A. (1991) · International Journal of Computer Vision · doi:10.1007/bf00115697 · Cited by 181
The Effect of Family Control on Firm Value and Performance. Evidence from Continental EuropePreprint
Barontini, R., & Caprio, L. (2005) · SSRN Electronic Journal · doi:10.2139/ssrn.675983 · Cited by 177
Improved image decompression for reduced transform coding artifacts
O'Rourke, T. P., & Stevenson, R. L. (1995) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/76.475891 · Cited by 178
Statistical analysis of watermarking schemes for copyright protection of images
Hernandez, J. R., & Pérez‐González, F. (1999) · Proceedings of the IEEE · doi:10.1109/5.771069 · Cited by 175
Optimal stack filtering and the estimation and structural approaches to image processing
Coyle, E. J., Lin, J.-H., & Gabbouj, M. (1989) · IEEE Transactions on Acoustics Speech and Signal Processing · doi:10.1109/29.45552 · Cited by 178
Some Recent Developments on the Effects of Parameter Estimation on Control Charts
Psarakis, S., Vyniou, A. K., & Castagliola, P. (2013) · Quality and Reliability Engineering International · doi:10.1002/qre.1556 · Cited by 177
Evaluation of gene-expression clustering via mutual information distance measure
Priness, I., Maimon, O., & Ben‐Gal, I. (2007) · BMC Bioinformatics · doi:10.1186/1471-2105-8-111 · Cited by 175
Observed Coherent Trends of Surface and Upper-Air Wind Speed over China since 1960
Lin, C., Yang, K., Qin, J., et al. (2012) · Journal of Climate · doi:10.1175/jcli-d-12-00093.1 · Cited by 177
Robust analogs to the coefficient of variation
Arachchige, C. N. P. G., Prendergast, L. A., & Staudte, R. G. (2020) · Journal of Applied Statistics · doi:10.1080/02664763.2020.1808599 · Cited by 202
Robust Estimation in Multivariate Control Charts for Individual Observations
Vargas, N. J. A. (2003) · Journal of Quality Technology · doi:10.1080/00224065.2003.11980234 · Cited by 177
Bootrapping robust estimates of regression
Salibián‐Barrera, M., & Zamar, R. H. (2002) · The Annals of Statistics · doi:10.1214/aos/1021379865 · Cited by 172
Accurate Quadrifocal Tracking for Robust 3D Visual Odometry
Comport, A. I., Malis, E., & Rives, P. (2007) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/robot.2007.363762 · Cited by 176
Harari, G. M., Müller, S. R., Stachl, C., Wang, R., Wang, W., Bühner, M., Rentfrow, P. J., Campbell, A. T., & Gosling, S. D. (2019) · Journal of Personality and Social Psychology · doi:10.1037/pspp0000245 · Cited by 168
Thermophysical Properties of the Lennard-Jones Fluid: Database and Data Assessment
Stephan, S., Thol, M., Vrabec, J., & Hasse, H. (2019) · Journal of Chemical Information and Modeling · doi:10.1021/acs.jcim.9b00620 · Cited by 183
Translation-invariant denoising using multiwavelets
Bui, T., & Chen, G. Y. (1998) · IEEE Transactions on Signal Processing · doi:10.1109/78.735315 · Cited by 175
Mixed Noise Removal by Weighted Encoding With Sparse Nonlocal Regularization
Jiang, J., Zhang, L., & Yang, J. J. (2014) · IEEE Transactions on Image Processing · doi:10.1109/tip.2014.2317985 · Cited by 175
Least median of squares estimation in power systems
Mili, L., Phaniraj, V., & Rousseeuw, P. J. (1991) · IEEE Transactions on Power Systems · doi:10.1109/59.76693 · Cited by 175
Resistant outlier rules and the non-Gaussian case
Carling, K. (2000) · Computational Statistics & Data Analysis · doi:10.1016/s0167-9473(99)00057-2 · Cited by 174
External Risk Measures and Basel Accords
Kou, S. G., Peng, X., & Heyde, C. C. (2013) · Mathematics of Operations Research · doi:10.1287/moor.1120.0577 · Cited by 174
Robust error measure for supervised neural network learning with outliers
Liano, K. (1996) · IEEE Transactions on Neural Networks · doi:10.1109/72.478411 · Cited by 174
Robust Boltzmann Machines for recognition and denoising
Tang, Y., Salakhutdinov, R., & Hinton, G. E. (2012) · 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.2012.6247936 · Cited by 173
Assessment of BSRN radiation records for the computation of monthly means
Roesch, A., Wild, M., Ohmura, A., Dutton, E. G., Long, C. N., & Zhang, T. (2011) · Atmospheric measurement techniques · doi:10.5194/amt-4-339-2011 · Cited by 189
Rostosky, P., Spreen, G., Farrell, S. L., et al. (2018) · Journal of Geophysical Research Oceans · doi:10.1029/2018jc014028 · Cited by 173
The discrete multiple wavelet transform and thresholding methods
DOWNIE, T. R., & Silverman, B. W. (1998) · IEEE Transactions on Signal Processing · doi:10.1109/78.709546 · Cited by 169
Robust registration of point sets using iteratively reweighted least squares
Bergström, P., & Edlund, O. (2014) · Computational Optimization and Applications · doi:10.1007/s10589-014-9643-2 · Cited by 168
A rapid supervised learning neural network for function interpolation and approximation
Chen, C. L. P. (1996) · IEEE Transactions on Neural Networks · doi:10.1109/72.536316 · Cited by 168
Multiwavelets denoising using neighboring coefficients
Chen, G. Y., & Bui, T. D. (2003) · IEEE Signal Processing Letters · doi:10.1109/lsp.2003.811586 · Cited by 170
Vehicle Detection in Very High Resolution Satellite Images of City Areas
Jens Leitloff, A., Hinz, S., & Stilla, U. (2010) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2010.2043109 · Cited by 168
A Competitive Minimax Approach to Robust Estimation of Random Parameters
Eldar, Y. C., & Merhav, N. (2004) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2004.828931 · Cited by 170
A robust algorithm for automatic development of neural-network models for microwave applications
Devabhaktuni, V. K., YAGOUB, M. C. E., & Zhang, Q. (2001) · IEEE Transactions on Microwave Theory and Techniques · doi:10.1109/22.971611 · Cited by 170
Distributed Voltage Control in Distribution Networks: Online and Robust Implementations
Liu, H. J., Shi, W., & Zhu, H. (2017) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2017.2703642 · Cited by 168
Robust Preferences and Convex Measures of Risk
Föllmer, H., & Schied, A. (2002) · Springer eBooks · doi:10.1007/978-3-662-04790-3_2 · Cited by 168
Robust Regression Computation Using Iteratively Reweighted Least Squares
O’Leary, D. P. (1990) · SIAM Journal on Matrix Analysis and Applications · doi:10.1137/0611032 · Cited by 163
Robust Bounded-Influence Tests in General Parametric Models
Heritier, S. R., & Ronchetti, E. M. (1994) · Journal of the American Statistical Association · doi:10.1080/01621459.1994.10476822 · Cited by 168
Apples and oranges (and pears, oh my!): the search for moderators in meta-analysis
Cortina, J. M. (2003) · Organizational Research Methods · doi:10.1177/1094428103257358 · Cited by 168
Making Bootstrap Statistical Inferences: A Tutorial
Zhu, W. (1997) · Research Quarterly for Exercise and Sport · doi:10.1080/02701367.1997.10608865 · Cited by 167
A unified jackknife theory for empirical best prediction with M-estimation
Jiang, J., Lahiri, P., & Wan, S. (2002) · The Annals of Statistics · doi:10.1214/aos/1043351257 · Cited by 166
Developments in Linear Regression Methodology: 1959-1982
Hocking, R. R. (1983) · Technometrics · doi:10.1080/00401706.1983.10487871 · Cited by 190
GaussFit?A system for least squares and robust estimation
Jefferys, W. H., Fitzpatrick, M., & McArthur, B. E. (1987) · Celestial Mechanics and Dynamical Astronomy · doi:10.1007/bf01238750 · Cited by 155
Stereo Matching with Transparency and Matting
Szeliski, R., & Golland, P. (1999) · International Journal of Computer Vision · doi:10.1023/a:1008192912624 · Cited by 165
Image denoising: a nonlinear robust statistical approach
Hamza, A. B., & Krim, H. (2001) · IEEE Transactions on Signal Processing · doi:10.1109/78.969512 · Cited by 165
A Variable Step-Size Affine Projection Algorithm Designed for Acoustic Echo Cancellation
Paleologu, C., Benesty, J., & Ciochină, S. (2008) · IEEE Transactions on Audio Speech and Language Processing · doi:10.1109/tasl.2008.2002980 · Cited by 165
Measuring effect size: a robust heteroscedastic approach for two or more groups
Wilcox, R. R., & Tian, T. S. (2011) · Journal of Applied Statistics · doi:10.1080/02664763.2010.498507 · Cited by 162
Robust methods for multivariate data analysis
Møller, S. F., von Frese, J., & Bro, R. (2005) · Journal of Chemometrics · doi:10.1002/cem.962 · Cited by 162
Robust fuzzy clustering of relational data
Davé, R. N., & Sen, S. (2002) · IEEE Transactions on Fuzzy Systems · doi:10.1109/tfuzz.2002.805899 · Cited by 163
Image flow segmentation and estimation by constraint line clustering
Schunck, B. G. (1989) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.42834 · Cited by 163
Magwire, M. M., Fabian, D. K., Schweyen, H., Cao, C., Longdon, B., Bayer, F., & Jiggins, F. M. (2012) · PLoS Genetics · doi:10.1371/journal.pgen.1003057 · Cited by 162
Multivariate ordering in color image filtering
Pitas, I., & Tsakalides, P. (1991) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/76.97987 · Cited by 162
Genetic Architecture of Skin and Eye Color in an African-European Admixed Population
Beleza, S., Johnson, N. A., Candille, S. I., Absher, D. M., Coram, M. A., Lopes, J., Campos, J., Araújo, I. I., Anderson, T. M., Vilhjálmsson, B. J., et al. (2013) · PLoS Genetics · doi:10.1371/journal.pgen.1003372 · Cited by 161
Modern Algorithms for Matching in Observational Studies
Rosenbaum, P. R. (2019) · Annual Review of Statistics and Its Application · doi:10.1146/annurev-statistics-031219-041058 · Cited by 156
Robust Estimation of Variance Components
Fellner, W. H. (1986) · Technometrics · doi:10.1080/00401706.1986.10488097 · Cited by 174
Low-Rank Matrix Recovery From Errors and Erasures
Chen, Y., Jalali, A., Sanghavi, S., et al. (2013) · IEEE Transactions on Information Theory · doi:10.1109/tit.2013.2249572 · Cited by 159
Stanković, L., Orović, I., Stanković, S., et al. (2013) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2013.2271752 · Cited by 158
Intensity-Based Image Registration Using Robust Correlation Coefficients
Kim, J., & Fessler, J. A. (2004) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2004.835313 · Cited by 157
Robust state estimation of electric power systems
Mili, L., Cheniae, M. G., & Rousseeuw, P. J. (1994) · IEEE Transactions on Circuits and Systems I Fundamental Theory and Applications · doi:10.1109/81.296336 · Cited by 158
Detection and Tracking of MIMO Propagation Path Parameters Using State-Space Approach
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Obesity and COPD: Associated Symptoms, Health-related Quality of Life, and Medication Use
Cecere, L. M., Littman, A. J., Slatore, C. G., Udris, E. M., Bryson, C. L., Boyko, E. J., Pierson, D. J., & Au, D. H. (2011) · COPD Journal of Chronic Obstructive Pulmonary Disease · doi:10.3109/15412555.2011.586660 · Cited by 163
STRetch: detecting and discovering pathogenic short tandem repeat expansions
Dashnow, H., Lek, M., Phipson, B., Halman, A., Sadedin, S., Lonsdale, A., Davis, M. R., Lamont, P. J., Clayton, J. S., Laing, N. G., et al. (2018) · Genome biology · doi:10.1186/s13059-018-1505-2 · Cited by 160
A Framework for Uncertainty and Validation of 3-D Registration Methods Based on Points and Frames
Pennec, X., & Thirion, J. (1997) · International Journal of Computer Vision · doi:10.1023/a:1007976002485 · Cited by 158
Nonparametric Tests of Interaction in Experimental Design
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Recommended practice for extreme wave analysis
Mathiesen, M., Goda, Y., Hawkes, P. J., et al. (1994) · Journal of Hydraulic Research · doi:10.1080/00221689409498691 · Cited by 157
Robust adaptive-scale parametric model estimation for computer vision
Wang, H. Z., & Suter, D. (2004) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2004.109 · Cited by 157
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.
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