Der Artikel wird am Ende des Bestellprozesses zum Download zur Verfügung gestellt.

Topics in Nonparametric Statistics

Proceedings of the First Conference of the International Society for Nonparametric Statistics
Sofort lieferbar | Lieferzeit: Sofort lieferbar I
ISBN-13:
9781493905690
Veröffentl:
2014
Seiten:
367
Autor:
Michael G. Akritas
Serie:
74, Springer Proceedings in Mathematics & Statistics
eBook Typ:
PDF
eBook Format:
EPUB
Kopierschutz:
1 - PDF Watermark
Sprache:
Englisch
Beschreibung:

This volume is composed of peer-reviewed papers that have developed from the First Conference of the International Society for NonParametric Statistics (ISNPS). This inaugural conference took place in Chalkidiki, Greece, June 15-19, 2012. It was organized with the co-sponsorship of the IMS, the ISI, and other organizations. M.G. Akritas, S.N. Lahiri, and D.N. Politis are the first executive committee members of ISNPS, and the editors of this volume.¿ ISNPS has a distinguished Advisory Committee that includes Professors R.Beran, P.Bickel, R. Carroll, D. Cook, P. Hall, R. Johnson, B. Lindsay, E. Parzen, P. Robinson, M. Rosenblatt, G. Roussas, T. SubbaRao, and G. Wahba. The Charting Committee of ISNPS consists of more than 50 prominent researchers from all over the world.
A cost based reweighed scheme of Principal Support Vector Machine.- Power assessment of a new test of independence.- Empirical.- Divergence Minimizers for Hadamard Differentiable Functionals.- Advances in permutation tests for covariates in a mixture model for preference data analysis.- Semiparametric generalized estimating equations in misspecified models.- Local Covariance Estimation using Costationarity.- Stable Non-parametric Signal Filtration in Nonlinear Models.- Block bootstrap for the autocovariance coefficients of periodically correlated time series.- Bootstrapping Realized Bipower Variation.- Multiple testing approaches for removing background noise from images.- Peak-Load Forecasting using a Functional Semi-Parametric Approach.- An open problem on strongly consistent learningof the best prediction for Gaussian processes.- Testing for equality of an increasing number of spectral density functions.- Multiscale local polynomial models for estimation and testing.- Distributions of Clusters of Exceedances and Their Applications in Telecommunication Networks.- Diagnostic procedures for spherically symmetric distributions.- A nonparametric causality test: Detection of direct causal effects in multivariate systems using Corrected Partial Transfer Entropy.- A high performance biomarker detection method for exhaled breath mass spectrometry data.- Local polynomials for variable selection.- On the CLT on Low Dimensional Stratified Spaces- Kernel Density Outlier Detector.- Model Selection for Classification with a Large Number of Classes.-Semiparametric Bayesian Small Area Estimation Based on Dirichlet Process Priors.- Bootstrap confidence intervals in nonparametric regression without an additive model.- Heteroskedastic linear regression: steps towards adaptivity, efficiency, and robustness- Level Set Estimation.- Nonparametric Permutation-Based Control Charts for Ordinal Data.- The latest advances on the Hill estimator and its modifications.- Multivariate Stochastic Volatility Estimation Using Particle Filters.- Guaranteed Estimation of Logarithmic Density Derivative by Dependent Observations.- Nonparametric Statistics and High/Infinite Dimensional Data.

Kunden Rezensionen

Zu diesem Artikel ist noch keine Rezension vorhanden.
Helfen sie anderen Besuchern und verfassen Sie selbst eine Rezension.

Google Plus
Powered by Inooga