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Statistical data analysis based on the \(L_1\)-norm and related methods. With the technical assistance of Giuseppe Melfi. Papers of the 4th international conference on statistical analysis on the \(L_1\)-norm and related methods, Neuchâtel, Switzerland, August 4–9, 2002. (English) Zbl 1005.00042
Statistics for Industry and Technology. Basel: Birkhäuser. xii, 454 p. (2002).

Show indexed articles as search result.

The 3rd conference (1997) has been reviewed (Zbl 0882.00044).
Contents: Jean Avérous, Quantile functions and spread for multivariate distributions (3–14); Philip Kokic, Jens Breckling and Oliver Lübke, A new definition of multivariate \(M\)-quantiles (15–24); Robert Serfling, A depth function and a scale curve based on spatial quantiles (25–38); Frits Ruymgaart, Sample quantiles for locally dependent processes (39–46); Keith Knight, What are the limiting distributions of quantile estimators? (47–65); Mo-Yin S. Tam, Gilbert W. Bassett jun. and Uday Sukhatme, New selection indices for university admissions: a quantile approach (67–76); José A. F. Machado and Pedro Portugal, Exploring transition data through quantile regression methods: an application to U.S. unemployment duration (77–94); Gilbert W. Bassett jun., Roger Koenker and Gregory Kordas, How to be pessimistic: Choquet risk and portfolio optimization (97–108); Dirk Tasche, Expected shortfall and beyond (109–123); Gregory Kordas, Credit scoring using binary quantile regression (125–137); Jan Beran, Prediction of 0-1-events for short- and long-memory time series (139–147); Klaus Abberger and Siegfried Heiler, Nonparametric quantile regression with applications to financial time series (149–160); Sucharita Ghosh and Dana Florea-Draghicescu (Dana Draghicescu), An algorithm for optimal bandwidth selection for smooth nonparametric quantile estimation (161–168); Hans Nyquist, Orthogonal \(L_1\)-norm estimation (171–181); Jana Jurečková, \(L_1\)-derivatives, score functions and tests (183–189); Marcela Svarc, Víctor J. Yohai and Ruben H. Zamar, Optimal bias robust \(M\)-estimates of regression (191–200); Stefan Van Aelst and Gert Willems, Robust bootstrap for \(S\)-estimators of multivariate regression (201–212); Marie Hušková and Jan Picek, \(M\)-tests for detection of structural changes in regression (213–227); Lajos Horváth, Agnieszka Jach and Piotr Kokoszka, Change point detection based on empirical quantiles (229–240); Lev B. Klebanov, A class of probability metrics and its statistical applications (241–252); Richard William Farebrother, Whose hare and whose tortoise (253–256); Christophe Croux, Esa Ollila and Hannu Oja, Sign and rank covariance matrices: statistical properties and application to principal components analysis (257–269); Marc Hallin and Davy Paindaveine, Multivariate signed ranks: Randles’ interdirections or Tyler’s angles? (271–282); Xin Tian, Yehuda Vardi and Cun-Hui Zhang, \(L_1\)-depth, depth relative to a model, and robust regression (285–299); Mario Romanazzi, Perturbation properties of depth regions (301–312); Yijun Zuo, Multivariate trimmed means based on data depth (313–322); Jean-Pierre Barthélemy and François Brucker, Graphs, \(L_1\)-metrics and clustering (325–339); Andreas Christmann, Classification based on the support vector machine and on regression depth (341–352); Rebecka Jörnsten, Yehuda Vardi and Cun-Hui Zhang, A robust clustering method and visualization tool based on data depth (353–366); Mohammed Benayade and Bernard Fichet, The median extension of data analysis metric structures (367–377); Regina Y. Liu, David Madigan and Susana Eyheramendy, Text classification for mining massive aviation inspection reports (379–392); Sylvain Sardy, Cédric Bilat, Paul Tseng and Valérie Chavez-Demoulin, A comparison between \(L_1\) Markov random field-based and wavelet-based estimators (395–403); Roger Koenker and Ivan Mizera, Elastic and plastic splines: some experimental comparisons (405–414); Rebecka Jörnsten, Yehuda Vardi and Cun-Hui Zhang, On the bitplane compression of microarray images (415–425); Silvia L. P. Ferrari (Silvia L. de Paula Ferrari), Jacqueline S. E. David, Paulo A. André and Luiz A. A. Pereira, Overdispersed regression models for air pollution and human health (429–438); Julio M. Singer, Carmen D. S. André, Liliam P. Lima and Gleice M. S. Conceição, Atmospheric pollution and mortality in São Paulo (439–450).
The articles of this volume will be reviewed individually.
Indexed articles:
Avérous, Jean, Quantile functions and spread for multivariate distributions, 3-14 [Zbl 1460.62068]
Kokic, Philip; Breckling; Jens; Lübke, Oliver, A new definition of multivariate \(M\)-quantiles, 15-24 [Zbl 1460.62074]
Serfling, Robert, A depth function and a scale curve based on spatial quantiles, 25-38 [Zbl 1460.62076]
Ruymgaart, Frits, Sample quantiles for locally dependent processes, 39-46 [Zbl 1460.62141]
Knight, Keith, What are the limiting distributions of quantile estimators?, 47-65 [Zbl 1460.62027]
Tam, Mo-Yin S.; Bassett, Gilbert W. jun.; Sukhatme, Uday, New selection indices for university admissions: a quantile approach, 67-76 [Zbl 1460.62192]
Machado, José A. F.; Portugal, Pedro, Exploring transition data through quantile regression methods: an application to U.S. unemployment duration, 77-94 [Zbl 1264.62034]
Bassett, Gilbert W. jun.; Koenker, Roger; Kordas, Gregory, How to be pessimistic: Choquet risk and portfolio optimization, 97-108 [Zbl 1458.62233]
Tasche, Dirk, Expected shortfall and beyond, 109-123 [Zbl 1119.62106]
Kordas, Gregory, Credit scoring using binary quantile regression, 125-137 [Zbl 1145.62386]
Beran, Jan, Prediction of 0-1-events for short- and long-memory time series, 139-147 [Zbl 1145.62373]
Abberger, Klaus; Heiler, Siegfried, Nonparametric quantile regression with applications to financial time series, 149-160 [Zbl 1145.62323]
Ghosh, Sucharita; Florea-Draghicescu, Dana, An algorithm for optimal bandwidth selection for smooth nonparametric quantile estimation, 161-168 [Zbl 1145.62320]
Nyquist, Hans, Orthogonal \(L_1\)-norm estimation, 171-181 [Zbl 1145.62317]
Jurečková, Jana, \(L_1\)-derivatives, score functions and tests, 183-189 [Zbl 1145.62308]
Svarc, Marcela; Yohai, Víctor J.; Zamar, Ruben H., Optimal bias robust \(M\)-estimates of regression, 191-200 [Zbl 1145.62325]
Van Aelst, Stefan; Willems, Gert, Robust bootstrap for \(S\)-estimators of multivariate regression, 201-212 [Zbl 1145.62340]
Hušková, Marie; Picek, Jan, \(M\)-tests for detection of structural changes in regression, 213-227 [Zbl 1145.62330]
Horváth, Lajos; Jach, Agnieszka; Kokoszka, Piotr, Change point detection based on empirical quantiles, 229-240 [Zbl 1145.62329]
Klebanov, Lev B., A class of probability metrics and its statistical applications, 241-252 [Zbl 1145.62305]
Farebrother, Richard William, Whose hare and whose tortoise, 253-256 [Zbl 1145.62301]
Croux, Christophe; Ollila, Esa; Oja, Hannu, Sign and rank covariance matrices: statistical properties and application to principal components analysis, 257-269 [Zbl 1145.62343]
Hallin, Marc; Paindaveine, Davy, Multivariate signed ranks: Randles’ interdirections or Tyler’s angles?, 271-282 [Zbl 1145.62339]
Tian, Xin; Vardi, Yehuda; Zhang, Cun-Hui, \(L_1\)-depth, depth relative to a model, and robust regression, 285-299 [Zbl 1145.62336]
Romanazzi, Mario, Perturbation properties of depth regions, 301-312 [Zbl 1145.62335]
Zuo, Yijun, Multivariate trimmed means based on data depth, 313-322 [Zbl 1145.62337]
Barthélemy, Jean-Pierre; Brucker, François, Graphs, \(L_1\)-metrics and clustering, 325-339 [Zbl 1145.62345]
Christmann, Andreas, Classification based on the support vector machine and on regression depth, 341-352 [Zbl 1145.62346]
Jörnsten, Rebecka; Vardi, Yehuda; Zhang, Cun-Hui, A robust clustering method and visualization tool based on data depth, 353-366 [Zbl 1119.62060]
Benayade, Mohammed; Fichet, Bernard, The median extension of data analysis metric structures, 367-377 [Zbl 1119.62003]
Liu, Regina Y.; Madigan, David; Eyheramendy, Susana, Text classification for mining massive aviation inspection reports, 379-392 [Zbl 1119.62123]
Sardy, Sylvain; Bilat, Cédric; Tseng, Paul; Chavez-Demoulin, Valérie, A comparison between \(L_1\) Markov random field-based and wavelet-based estimators, 395-403 [Zbl 1119.62091]
Koenker, Roger; Mizera, Ivan, Elastic and plastic splines: some experimental comparisons, 405-414 [Zbl 1119.62031]
Jörnsten, Rebecka; Vardi, Yehuda; Zhang, Cun-Hui, On the bitplane compression of microarray images, 415-425 [Zbl 1120.92025]
Ferrari, Silvia L. P.; David, Jacqueline S. E.; André, Paulo A.; Pereira, Luiz A. A., Overdispersed regression models for air pollution and human health, 429-438 [Zbl 1119.62118]
Singer, Julio M.; André, Carmen D. S.; Lima, Liliam P.; Conceição, Gleice M. S., Atmospheric pollution and mortality in São Paulo, 439-450 [Zbl 1119.62385]

MSC:
00B25 Proceedings of conferences of miscellaneous specific interest
62-06 Proceedings, conferences, collections, etc. pertaining to statistics
62-07 Data analysis (statistics) (MSC2010)
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