Nonparametric Statistics : : 3rd ISNPS, Avignon, France, June 2016

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Language:English
Published: Cham : : Springer International Publishing : Imprint: Springer,, 2018
Edition:1st ed. 2018.
Series:Springer Proceedings in Mathematics & Statistics,, ISSN 2194-1009 ; ; 250
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Online Access:https://doi.org/10.1007/978-3-319-96941-1
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spelling Nonparametric Statistics : 3rd ISNPS, Avignon, France, June 2016 edited by Patrice Bertail, Delphine Blanke, Pierre-André Cornillon, Eric Matzner-Løber.
1st ed. 2018.
Cham : Springer International Publishing : Imprint: Springer, 2018
IX, 390 p. 53 illus., 26 illus. in color. online forrás
szöveg txt rdacontent
számítógépes c rdamedia
távoli hozzáférés cr rdacarrier
szövegfájl PDF rda
Springer Proceedings in Mathematics & Statistics, 2194-1009 ; 250
Symmetrizing k-nn and Mutual k-nn Smoothers (P. A. Cornillon, A. Gribinski, N. Hengartner, T. Kerdreux and E. Matzner-Løber) -- Multiplicative Bias Corrected Nonparametric Smoothers (N. Hengartner, E. Matzner-Løber, L. Rouvière and T. Burr) -- Nonparametric PU Learning of State Estimation in Markov Switching Model (A. Dobrovidov and V. Vasilyev) -- Nonparametric Lower Bounds and Information Functions (S. Y. Novak) -- Efficiency of the V-fold Model Selection for Localized Bases (F. Navarro and A. Saumard) -- Modification of Moment-based Tail Index Estimator: Sums versus Maxima (N. Markovich and M. Vaičiulis) -- Constructing Confidence Sets for the Matrix Completion Problem (A. Carpentier, O. Klopp and M. Löffler) -- PAC-Bayesian Aggregation of Affine Estimators (L. Montuelle and E. Le Pennec) -- A Nonparametric Classification Algorithm Based on Optimized Templates (J. Kalina) -- Light- and Heavy-tailed Density Estimation by Gamma-Weibull Kernel (L. Markovich) -- Adaptive Estimation of Heavy Tail Distributions with Application to Hall Model (D. N. Politis, V. A. Vasiliev, S. E. Vorobeychikov) -- Extremal Index for a Class of Heavy-tailed Stochastic Processes in Risk Theory (C. Tillier) -- Elemental Estimates, Influence, and Algorithmic Leveraging (K. Knight) -- Bootstrapping Nonparametric M-Smoothers with Independent Error Terms (M. Maciak) -- Probability Bounds for Active Learning in the Regression Problem (A. K. Fermin and C. Ludeña) -- Subsampling for Big Data: Some Recent Advances (P. Bertail, O. Jelassi, J. Tressou and M. Zetlaoui) -- Extension Sampling Designs for Big Networks: Application to Twitter (A. Rebecq) -- Strong Separability in Circulant SSA (J. Bógalo, P. Poncela and E. Senra) -- Selection of Window Length in Singular Spectrum Analysis of a Time Series (P. Unnikrishnan and V. Jothiprakash) -- Fourier-type Monitoring Procedures for Strict Stationarity (S. Lee, S. G. Meintanis and C. Pretorius) -- Wavelet Whittle Estimation in Multiva
This volume presents the latest advances and trends in nonparametric statistics, and gathers selected and peer-reviewed contributions from the 3rd Conference of the International Society for Nonparametric Statistics (ISNPS), held in Avignon, France on June 11-16, 2016. It covers a broad range of nonparametric statistical methods, from density estimation, survey sampling, resampling methods, kernel methods and extreme values, to statistical learning and classification, both in the standard i.i.d. case and for dependent data, including big data. The International Society for Nonparametric Statistics is uniquely global, and its international conferences are intended to foster the exchange of ideas and the latest advances among researchers from around the world, in cooperation with established statistical societies such as the Institute of Mathematical Statistics, the Bernoulli Society and the International Statistical Institute. The 3rd ISNPS conference in Avignon attracted more than 400 researchers from around the globe, and contributed to the further development and dissemination of nonparametric statistics knowledge.
Nyomtatott kiadás: ISBN 9783319969404
Nyomtatott kiadás: ISBN 9783319969428
Az e-könyvek a teljes ELTE IP-tartományon belül online elérhetők.
könyv
e-book
Mathematical statistics.
Statistics.
Statistical Theory and Methods.
Statistics and Computing/Statistics Programs.
Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
Statistics for Business, Management, Economics, Finance, Insurance.
Statistics for Life Sciences, Medicine, Health Sciences.
elektronikus könyv
Bertail, Patrice. szerkesztő edt http://id.loc.gov/vocabulary/relators/edt
Blanke, Delphine. szerkesztő edt http://id.loc.gov/vocabulary/relators/edt
Cornillon, Pierre-André. szerkesztő edt http://id.loc.gov/vocabulary/relators/edt
Matzner-Løber, Eric. szerkesztő edt http://id.loc.gov/vocabulary/relators/edt
SpringerLink (Online service) közreadó testület
Online változat https://doi.org/10.1007/978-3-319-96941-1
EUL01
language English
format Book
author2 Bertail, Patrice., szerkesztő
Blanke, Delphine., szerkesztő
Cornillon, Pierre-André., szerkesztő
Matzner-Løber, Eric., szerkesztő
author_facet Bertail, Patrice., szerkesztő
Blanke, Delphine., szerkesztő
Cornillon, Pierre-André., szerkesztő
Matzner-Løber, Eric., szerkesztő
SpringerLink (Online service)
author_corporate SpringerLink (Online service)
author_sort Bertail, Patrice.
title Nonparametric Statistics : 3rd ISNPS, Avignon, France, June 2016
spellingShingle Nonparametric Statistics : 3rd ISNPS, Avignon, France, June 2016
Springer Proceedings in Mathematics & Statistics,, ISSN 2194-1009 ; ; 250
Mathematical statistics.
Statistics.
Statistical Theory and Methods.
Statistics and Computing/Statistics Programs.
Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
Statistics for Business, Management, Economics, Finance, Insurance.
Statistics for Life Sciences, Medicine, Health Sciences.
elektronikus könyv
title_sub 3rd ISNPS, Avignon, France, June 2016
title_short Nonparametric Statistics :
title_full Nonparametric Statistics : 3rd ISNPS, Avignon, France, June 2016 edited by Patrice Bertail, Delphine Blanke, Pierre-André Cornillon, Eric Matzner-Løber.
title_fullStr Nonparametric Statistics : 3rd ISNPS, Avignon, France, June 2016 edited by Patrice Bertail, Delphine Blanke, Pierre-André Cornillon, Eric Matzner-Løber.
title_full_unstemmed Nonparametric Statistics : 3rd ISNPS, Avignon, France, June 2016 edited by Patrice Bertail, Delphine Blanke, Pierre-André Cornillon, Eric Matzner-Løber.
title_auth Nonparametric Statistics : 3rd ISNPS, Avignon, France, June 2016
title_sort nonparametric statistics 3rd isnps avignon france june 2016
series Springer Proceedings in Mathematics & Statistics,, ISSN 2194-1009 ; ; 250
series2 Springer Proceedings in Mathematics & Statistics,
publishDate 2018
publishDateSort 2018
physical IX, 390 p. 53 illus., 26 illus. in color. : online forrás
edition 1st ed. 2018.
isbn 978-3-319-96941-1
issn 2194-1009 ;
callnumber-first Q - Science
callnumber-subject QA - Mathematics
callnumber-label QA276-280
callnumber-raw 979256
callnumber-search 979256
topic Mathematical statistics.
Statistics.
Statistical Theory and Methods.
Statistics and Computing/Statistics Programs.
Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
Statistics for Business, Management, Economics, Finance, Insurance.
Statistics for Life Sciences, Medicine, Health Sciences.
elektronikus könyv
topic_facet Mathematical statistics.
Statistics.
Statistical Theory and Methods.
Statistics and Computing/Statistics Programs.
Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
Statistics for Business, Management, Economics, Finance, Insurance.
Statistics for Life Sciences, Medicine, Health Sciences.
elektronikus könyv
Mathematical statistics.
Statistics.
Statistical Theory and Methods.
Statistics and Computing/Statistics Programs.
Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
Statistics for Business, Management, Economics, Finance, Insurance.
Statistics for Life Sciences, Medicine, Health Sciences.
url https://doi.org/10.1007/978-3-319-96941-1
illustrated Not Illustrated
dewey-hundreds 500 - Science
dewey-tens 510 - Mathematics
dewey-ones 519 - Probabilities & applied mathematics
dewey-full 519.5
dewey-sort 3519.5
dewey-raw 519.5
dewey-search 519.5
first_indexed 2021-04-02T14:47:05Z
last_indexed 2021-04-04T08:17:53Z
recordtype opac
publisher Cham : : Springer International Publishing : Imprint: Springer,
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score 13,339561
generalnotes This volume presents the latest advances and trends in nonparametric statistics, and gathers selected and peer-reviewed contributions from the 3rd Conference of the International Society for Nonparametric Statistics (ISNPS), held in Avignon, France on June 11-16, 2016. It covers a broad range of nonparametric statistical methods, from density estimation, survey sampling, resampling methods, kernel methods and extreme values, to statistical learning and classification, both in the standard i.i.d. case and for dependent data, including big data. The International Society for Nonparametric Statistics is uniquely global, and its international conferences are intended to foster the exchange of ideas and the latest advances among researchers from around the world, in cooperation with established statistical societies such as the Institute of Mathematical Statistics, the Bernoulli Society and the International Statistical Institute. The 3rd ISNPS conference in Avignon attracted more than 400 researchers from around the globe, and contributed to the further development and dissemination of nonparametric statistics knowledge.