Contributions in infinite-dimensional statistics and related topics

Cover
Società Editrice Esculapio, 21.05.2014 - 300 Seiten

 The interest towards Functional and Operatorial Statistics, and, more in general, towards infinite-dimensional statistics has dramatically increased in the statistical community and in many other applied scientific areas where people faces functional data. This volume collects the works selected and presented at the Third Edition of the International Workshop on Functional and Operatorial Statistics held in Stresa, Italy, from the 19th to the 21st of June 2014 (IWFOS’2014). The meeting represents an opportunity of bringing together leading researchers active on these topics both for what concerns theoretical aspects and a wide range of applications in various fields.

To promote collaborations with other important strictly related areas of infinite-dimensional Statistics, such as High Dimensional Statistics and Model Selection Procedures, this book hosts works in the latter research subjects too.

 

Ausgewählte Seiten

Inhalt

Contents
1
Was it snowing on lake Kassjon in January 4486 BC? Functional
7
An Inferential Framework for Domain Selection in Functional ANOVA
13
Optimal designs for linear models with functional responses
19
A clustering method for economic aggregates by using concentra
25
On variance estimation in semiparametric regression with func
31
Selecting covariates coming from a continuous variable
37
Optimal Sampling Designs for Estimating the Concentration Curve
43
Ranking Influence in General Statistical Problems
147
Change point detection in panel data
155
Common functional principal component models for mortality fore
161
Samworth R J 273
163
Adaptive Bayesian estimation in Gaussian sequence space models
167
Modelling Electricity Prices as Functional Data on Random
173
32
179
Open Problems Regarding Mani
185

A Bayesian method for determining the optimal semimetric
46
Multivariate functional data depth measure based on variance
49
Biasi R
54
Optimal linear shrinkage estimator for large dimensional preci
55
Robust inference in functional data analysis using Sestimators
61
Application of convergent sequences of projectors to stationary
67
Boudou A
72
Fast recursive and efficient algorithms for estimating the func
73
Adaptive and Minimax estimation of the cumulative distribution
79
An optimal aggregation type classifier
85
Optimal level sets for representing a bivariate density function
97
Functional Regression Models with Temporal andor Spatial
107
Salinelli E 1
112
Uncertainty evaluation in functional kriging with external drift
113
Orthogonal Polynomials Derivative for Empirical Copula
119
Classification of EEG recordings in auditory brain activity via
125
Worst possible subdirections in highdimensional models
131
Functional Data Analysis of Generalized Quantile Regression with
141
34
191
On the Consistency of Depth Functionals
197
Functional synchrony for point processes
203
State space models for functional time series
209
43
213
Permutation tests for comparison of covariance operators
215
Modelfree prediction with application to functional data analysis
221
Functional prediction in the Spanish electricity market
227
An anglebased functional depth measure for outlier detection
233
Statistical and Numerical Techniques for Spatial Functional Data
239
Joint Gaussian measure on multivariate random functions
245
44
251
Functional Additive Mixed Models
257
46
263
Spearman coefficient for functions
269
49
275
Urheberrecht

Häufige Begriffe und Wortgruppen

algorithm application approach assumptions asymptotic bandwidth Bayesian Bibliography bootstrap bounded coefficients Comput consider convergence copula covariance operator curves defined denote density depth derivatives dimensional distance distribution e-mail empirical copula error estimation FD OP FD Ferraty finite flux continuum forecast func Functional Data Analysis functional linear model functional principal component functional regression model functional time series FUNTA Gaussian geometric median groups Hilbert space Horv´ath introduce K-medoid kernel Kokoszka kriging L2 distance level sets linear model manifold matrix measure method multivariate Nonparametric Functional Data observed obtained optimal orthogonal orthogonal polynomials outliers panel parameter Politecnico di Milano polynomials precision matrix prediction predictor principal component analysis problem procedure projectors proposed quantile Ramsay random variable robust sample sequence smoothing spatial spectra spline Springer square Statistics stochastic Theorem tion unitary operators univariate Universit´e values variance vector Vieu

Bibliografische Informationen

TitelContributions in infinite-dimensional statistics and related topics
AutorenEnea G. Bongiorno, Ernesto Salinelli, Aldo Goia, Philippe Vieu
VerlagSocietà Editrice Esculapio, 2014
ISBN8874887639, 9788874887637
Länge300 Seiten
  
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