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The Identification of Thresholds and Time Delay in Self-Exciting Threshold a Model by Wavelet
threshold autoregressive model threshold time delay wavelet
2013/5/2
In this paper we studied about the wavelet identification of the thresholds and time delay for more general case without the constraint that the time delay is smaller than the order of the model. Here...
Wavelet Deconvolution in a Periodic Setting with Long-Range Dependent Errors
Besov Spaces Deconvolution fractional Brownian motion Long-Range Dependence Maxiset theory Wavelet Analysis
2012/9/17
In this paper, a hard thresholding wavelet estimator is constructed for a deconvolution model in a periodic setting that has long-range dependent noise. The estimation paradigm is based on a maxiset m...
On adaptive wavelet estimation of a class of weighted densities
Weighted density density estimation plug-in approach wavelets block thresholding reliability series system parallel system.
2012/9/18
We investigate the estimation of a weighted density taking the formg=w(F)f, where fdenotes an unknown density,Fthe associated distribution function andwis a known (non-negative) weight.Such a class en...
Spatial wavelet Markov models are more efficient than covariance tapering and process convolutions
Matérn covariances Kriging Wavelets Markov random fields Covariance tapering
2011/7/5
The Mat\'ern covariance function is a popular choice for modeling dependence in spatial environmental data.
Testing for homogeneity of variance in the wavelet domain
Testing homogeneity variance wavelet domain
2011/7/5
The danger of confusing long-range dependence with non-stationarity has been pointed out by many authors.
Wavelet estimation of the long memory parameter for Hermite polynomial of Gaussian processes
Hermite polynomials of a Gaussian process long–memory parameter non–Gaussian Rosenblatt
2011/6/16
We consider stationary processes with long memory which are non–Gaussian and represented
as Hermite polynomials of a Gaussian process. We focus on the corresponding
wavelet coefficients and study th...
Adaptive semiparametric wavelet estimator and goodness-of-fit test for long memory linear processes
Statistics Theory (math.ST)
2010/12/17
This paper is first devoted to study an adaptive wavelet based estimator of the long memory parameter for linear processes in a general semi-parametric frame. This is an extension of Bardet {\it et al...
Perfect simulation using dominated coupling from the past with application to area-interaction point processes and wavelet thresholding
coupling from the past (CFTP) dominated CFTP exact simulation local stability Markov chain Monte Carlo perfect simulation
2010/3/11
We consider perfect simulation algorithms for locally stable point processes
based on dominated coupling from the past, and apply these methods
in two different contexts. A new version of the algori...
An application of wavelet analysis to pricing and hedging derivative securities
An application of wavelet analysis pricing and hedging derivative securities
2009/9/22
This work provides an application of wavelet analysis
to pricing and hedging path-dependent contingent claims within the
framework of the Black-Scholes model.
Wavelet block thresholding for samples with random design: A minimax approach under the Lp risk
Regression with random design wavelets block thresholding
2009/9/18
We consider the regression model with (known) random design. We investigate the minimax performances of an adaptive wavelet block thresholding estimator under the Lp risk with p >2 over Besov balls. W...
Wavelet Scalograms and their Applications in Economic Time Series
Wavelet Scalograms Applications Economic Time Series
2009/9/17
Wavelet Scalograms and their Applications in Economic Time Series。
Probability Density Functions of the Empirical Wavelet Coefficients of a Wavelet Estimator of Multidimensional Poisson Intensities
Probability Density Functions Empirical Wavelet Coefficients Wavelet Estimator Poisson Intensities
2009/9/17
Probability Density Functions of the Empirical Wavelet Coefficients of a Wavelet Estimator of Multidimensional Poisson Intensities。
Data-driven wavelet-Fisz methodology for nonparametric function estimation
Besov spaces exponential inequality heteroscedasticity nonparametric regression variance function
2009/9/16
We propose a wavelet-based technique for the nonparametric estimation of functions contaminated with noise whose mean and variance are linked via a possibly unknown variance function. Our method, term...
A data-driven block thresholding approach to wavelet estimation
Adaptivity Besov body block thresholding James–Stein estimator nonparametric regression Stein’s unbiased risk estimate
2010/3/19
A data-driven block thresholding procedure for wavelet regression
is proposed and its theoretical and numerical properties are investigated.
The procedure empirically chooses the block size and thre...
Perfect simulation for Bayesian wavelet thresholding with correlated coefficients
Perfect simulation Bayesian wavelet thresholding correlated coefficients
2010/3/18
We introduce a new method of Bayesian wavelet shrinkage for recon-
structing a signal when we observe a noisy version. Rather than making
the usual assumption that the wavelet coecients of the sign...