Topics in Nonparametric Statistics : Proceedings of the First Conference of the International Society for Nonparametric Statistics / edited by Michael G. Akritas, S. N. Lahiri, Dimitris N. Politis.

Format:

Book

Conference/Event

Contributor:

Akritas, Michael G., Editor.

Lahiri, S. N., Editor.

Politis, Dimitris N., Editor.

International Society for Nonparametric Statistics.

Conference Name:

Conference of the International Society for Nonparametric Statistics (1st : 2012 : Chalkidikē, Greece)

Series:

Springer Proceedings in Mathematics & Statistics, 2194-1017 ; 74

Language:

English

Subjects (All):

Statistics.

Mathematical statistics--Data processing.

Mathematical statistics.

Statistical Theory and Methods.

Statistics and Computing.

Local Subjects:

Statistical Theory and Methods.

Statistics and Computing.

Statistics.

Physical Description:

1 online resource (369 p.)

Edition:

1st ed. 2014.

Place of Publication:

New York, NY : Springer New York : Imprint: Springer, 2014.

Language Note:

English

Summary:

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. The chapters in this volume bring forth recent advances and trends in several areas of nonparametric statistics. In this way, the volume facilitates the exchange of research ideas, promotes collaboration among researchers from all over the world, and contributes to the further development of the field. The conference program included over 250 talks, including special invited talks, plenary talks, and contributed talks on all areas of nonparametric statistics. Out of these talks, some of the most pertinent ones have been refereed and developed into chapters that share both research and developments in the field.

Contents:

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 learning of 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.

Notes:

Description based upon print version of record.

Includes bibliographical references at the end of each chapters.

ISBN:

1-4939-0569-4

OCLC:

897466846