โ Scribed by Michael G. Akritas, S. N. Lahiri, Dimitris N. Politis (eds.)
No coin nor oath required. For personal study only.
This volume is composed of peer-reviewed papers that have developed from the First Conference of the International Society for Non Parametric 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.
Front Matter....Pages i-xvi
A Cost Based Reweighted Scheme of Principal Support Vector Machine....Pages 1-12
Power Assessment of a New Test of Independence....Pages 13-19
Empirical ฯ โ -Divergence Minimizers for Hadamard Differentiable Functionals....Pages 21-32
Advances in Permutation Tests for Covariates in a Mixture Model for Preference Data Analysis....Pages 33-42
Semiparametric Generalized Estimating Equations in Misspecified Models....Pages 43-52
Local Covariance Estimation Using Costationarity....Pages 53-60
Stable Nonparametric Signal Filtration in Nonlinear Models....Pages 61-74
Block Bootstrap for the Autocovariance Coefficients of Periodically Correlated Time Series....Pages 75-83
Bootstrapping Realized Bipower Variation....Pages 85-93
Multiple Testing Approaches for Removing Background Noise from Images....Pages 95-104
Peak-Load Forecasting Using a Functional Semi-Parametric Approach....Pages 105-114
An Open Problem on Strongly Consistent Learning of the Best Prediction for Gaussian Processes....Pages 115-136
Testing for Equality of an Increasing Number of Spectral Density Functions....Pages 137-154
Multiscale Local Polynomial Models for Estimation and Testing....Pages 155-166
Distributions of Clusters of Exceedances and Their Applications in Telecommunication Networks....Pages 167-175
Diagnostic Procedures for Spherically Symmetric Distributions....Pages 177-183
Nonparametric Regression Based Image Analysis....Pages 185-195
A Nonparametric Causality Test: Detection of Direct Causal Effects in Multivariate Systems Using Corrected Partial Transfer Entropy....Pages 197-206
A High Performance Biomarker Detection Method for Exhaled Breath Mass Spectrometry Data....Pages 207-216
Local Polynomials for Variable Selection....Pages 217-225
On the CLT on Low Dimensional Stratified Spaces....Pages 227-239
Kernel Density Outlier Detector....Pages 241-250
Model Selection for Classification with a Large Number of Classes....Pages 251-257
Semiparametric Bayesian Small Area Estimation Based on Dirichlet Process Priors....Pages 259-269
Bootstrap Confidence Intervals in Nonparametric Regression Without an Additive Model....Pages 271-282
Heteroskedastic Linear Regression: Steps Towards Adaptivity, Efficiency, and Robustness....Pages 283-297
Level Set Estimation....Pages 299-307
Nonparametric Permutation-Based Control Charts for Ordinal Data....Pages 309-321
The Latest Advances on the Hill Estimator and Its Modifications....Pages 323-333
Multivariate Stochastic Volatility Estimation Using Particle Filters....Pages 335-345
Guaranteed Estimation of Logarithmic Density Derivative by Dependent Observations....Pages 347-356
Nonparametric Statistics and High/Infinite Dimensional Data....Pages 357-367
Statistical Theory and Methods; Statistics and Computing/Statistics Programs; Statistics, general
๐ SIMILAR VOLUMES
This work discusses discrete time and continuous time, with emphasis on the kernel methods. Recent results concerning optimal and superoptimal convergence rates are presented, and the implementation of the method is discussed.
[Updated: Aug 17th. After this update, I would downgrade this book to 3 stars, which is still "good" under my rating system.]I've read about 75% of this book, quitting near the end where the material was of less interest to me. I found this book to be largely focused the theory of nonparametrics wit
<P>This text provides the reader with a single book where they can find accounts of a number of up-to-date issues in nonparametric inference. The book is aimed at Masters or PhD level students in statistics, computer science, and engineering. It is also suitable for researchers who want to get up to
''The goal of this text is to provide readers with a single book where they can find a brief account of many modern topics in nonparametric inference. The book is aimed at master's-level or Ph.D.-level students in statistics, computer science, and engineering. It is also suitable for researchers who