The following pages link to (Q4363939):
Displaying 50 items.
- Orthogonal one step greedy procedure for heteroscedastic linear models (Q254223) (← links)
- Removing mixture of Gaussian and impulse noise by patch-based weighted means (Q293097) (← links)
- Almost everywhere convergence of a wavelet thresholding risk estimate in a model with correlated noise (Q344025) (← links)
- Noise suppression in ECG signals through efficient one-step wavelet processing techniques (Q364522) (← links)
- On asymptotically optimal wavelet estimation of trend functions under long-range dependence (Q408094) (← links)
- Transfer function models with time-varying coefficients (Q428348) (← links)
- Semi-supervised wavelet shrinkage (Q434941) (← links)
- Asymptotic equivalence for regression under fractional noise (Q482907) (← links)
- Semiparametric model building for regression models with time-varying parameters (Q494386) (← links)
- Asymptotically sufficient statistics in nonparametric regression experiments with correlated noise (Q609669) (← links)
- Curve denoising by multiscale singularity detection and geometric shrinkage (Q643641) (← links)
- Minimax lower bound for kink location estimators in a nonparametric regression model with long-range dependence (Q645442) (← links)
- Optimal estimation of the mean function based on discretely sampled functional data: phase transition (Q661158) (← links)
- The principle of penalized empirical risk in severely ill-posed problems (Q706328) (← links)
- A novel coupling of noise reduction algorithms for particle flow simulations (Q726922) (← links)
- Bootstrap testing for discontinuities under long-range dependence (Q764501) (← links)
- A noise estimation method for corrupted correlated data (Q862800) (← links)
- On the minimax optimality of wavelet estimators with censored data (Q872066) (← links)
- Independent multiresolution component analysis and matching pursuit (Q951876) (← links)
- Wavelet regression with correlated errors on a piecewise Hölder class (Q952869) (← links)
- Wavelet estimation of partially linear models (Q956986) (← links)
- Noise reduction for enhanced component identification in multi-dimensional biomolecular NMR studies (Q962355) (← links)
- Mean integrated squared error of nonlinear wavelet-based estimators with long memory data (Q995795) (← links)
- Wavelet estimation by Bayesian thresholding and model selection (Q999035) (← links)
- Wavelet denoising techniques with applications to experimental geophysical data (Q1005774) (← links)
- Dimensionality reduction and greedy learning of convoluted stochastic dynamics (Q1007727) (← links)
- Estimation of trend in state-space models: asymptotic mean square error and rate of convergence (Q1043710) (← links)
- Wavelet thresholding for non-necessarily Gaussian noise: idealism (Q1394759) (← links)
- Wavelet methods for continuous-time prediction using Hilbert-valued autoregressive processes (Q1414608) (← links)
- Nonparametric regression with correlated errors. (Q1431197) (← links)
- Ridgelets: estimating with ridge functions (Q1431441) (← links)
- Wavelet threshold estimation of a regression function with random design (Q1599239) (← links)
- Smoothness estimates for soft-threshold denoising via translation-invariant wavelet transforms (Q1604496) (← links)
- Maximum likelihood estimation of the fractional differencing parameter in an ARFIMA model using wavelets (Q1614011) (← links)
- Cross-validated wavelet block thresholding for non-Gaussian errors (Q1658512) (← links)
- Multiscale representation for irregularly spaced data (Q1674059) (← links)
- Estimating observation error covariance matrix of seismic data from a perspective of image denoising (Q1702361) (← links)
- Bayesian time series regression with nonparametric modeling of autocorrelation (Q1729307) (← links)
- Minimax-rate adaptive nonparametric regression with unknown correlations of errors (Q1729945) (← links)
- Wavelet analysis of big data contaminated by large noise in an fMRI study of neuroplasticity (Q1739346) (← links)
- Wavelet shrinkage for nonequispaced samples (Q1807157) (← links)
- Recovering edges in ill-posed inverse problems: Optimality of curvelet frames. (Q1848958) (← links)
- Extraction of spots in biological images using multiscale products (Q1860147) (← links)
- Modeling heavy-tailed correlated noise with wavelet packet basis functions (Q1869103) (← links)
- Robust wavelet estimation to eliminate simultaneously the effects of boundary problems, outliers, and correlated noise (Q1925574) (← links)
- Comparing non-stationary and irregularly spaced time series (Q1927173) (← links)
- Wavelet deconvolution in a periodic setting with long-range dependent errors (Q1937198) (← links)
- Central limit theorem for the robust log-regression wavelet estimation of the memory parameter in the Gaussian semi-parametric context (Q1940755) (← links)
- Data-driven wavelet-Fisz methodology for nonparametric function estimation (Q1951777) (← links)
- Kink estimation in stochastic regression with dependent errors and predictors (Q1952085) (← links)
