Papers, Technical Reports, Discussion Papers, Manuscripts, Drafts on Wavelets in Statistics

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Theme: Wavelets and Statistics

Recent Updates [from Summer 2005]

• Lubo, Arne, and Borre are talking B-splines! Look at Expo-Rational B-Splines. [07/2005]
• MCMC Wavelet Shrinkage by Gaby Huerta, great project from Duke [07/2005]

Really Old Stuff [from the last millenium]

• Fasten your seat belts: Lubo is talking MATH! (Atomic Decompositions of Function Spaces, Fractional Integral, Differential Operators.
• Fasten your seat belts: Lubo is talking some more MATH! Lacunary Multiresolution Methods of Approximation.
• Averkamp & Houdre: Thresholding for nongaussian noise [Idealism]
• Averkamp & Houdre: Thresholding for nongaussian noise [Finctionality]
• Averkamp & Houdre: Thresholding for nongaussian noise [Pictures]
• Anestis Antoniadis: Smoothing Noisy Data With Tapered Coiflets.
• Anestis, Irene and Gerard: Model Selection Using Wavelet decompositions.
• Umbreto and Anestis: Adaptive Wavelet Estimation.
• Anestis Antoniadis: Wavelets in Statistics, A Review.
• Lubo and Jim on Penalized Estimation. (A NEW VERSION)
• Lubo and Brenda on estimation with positivity constraints (A NEW VERSION)
• Lubo, Brenda, and Spiro on estimation with positivity constraints and numerical issues.
• CC Holmes and DGT Denison on Wavelet Complexity Priors.
• Chris and Bani again on wavelet Bayesian networks.
• Abramovich, Sapatinas, & Silverman: Stochastic atomic decompositions in a wavelet dictionary.
• Time Series and Wavelets, David Brillinger, manuscript 1
• Time Series and Wavelets, David Brillinger, manuscript 2
• Eero's talk in Asilomar: Statistical Models for Images
• Non-negative wavelets and their use in density estimation (G. Walter and X. Shen)
• Wavelet Spectral Density Estimation by Hong-ye Gao
• Wavelet Heteroscedastic Regression by Hong-ye Gao
• Todd Ogden on Bayesian change-point analysis by wavelets
• Statistical modelling of time series using non-decimated wavelet representations, By Nason, G.P., Sapatinas, T. and Sawczenko, A.
• Robert Buccigrossi and Eero Simoncelli on Statistical Modeling of Images in Wavelet Domain + Compressing Applications
• Thresholding via a Bayesian Approach (Abramovich, Sapatinas, Silverman)
• Marina and Fabio on wavelet outputs to autoregresive input
• Marina's PhD Thesis (ITALIAN)
• Statistical inverse problems (Abramovich, Silverman)
• Best and Schafer on Statistical Fields
• Mary Ellen Bock and German Pliego on Daub4 in regression problems
• Spectral Densities and Wavelets. (Carmona and Wang)
• Transients in time series (Carmona)
• Pedro and Chang on Wavelets and Stationary Processes.
• Donoho on CART and Wavelets.
• Hugh, Eric, and Rob (University of Chicago) on: Adaptive Bayesian Wavelets
• Hong-ye Gao on Thresholding of Spectral Densities
• Hong-ye Gao and Andrew Bruce on Thresholding in Semi-Soft Way
• Johnstone and Silverman on Thresholding of Correlated Noise
• Leblanc on wavelet density estimation in time series
• Thesis of Jian Lu on wavelet denoising.
• Mallat, Papanicolaou, and Zhang on covariances of stationary processes.
• The phase of least-assymetric wavelet filters: McCoy, Percival, and Walden.
• Marron at al. on Wavelet Regression.
• Nason's Wavethresh Manual.
• Nason's Paper on threshold determination by crossvalidation.
• Nason and Silverman's Stationary Wavelet Transformation.
• Percival on Wavelet Variances
• Ragozin, Andrew Bruce and Hong-ye Gao: On not so smooth wavelets.
• Saito and Coifman on Local Discriminant Bases.
• Approximating by Matching Pursuit.
• Mallat and Zhang on Matching Pursuit.
• Wavelet Warrior G. Davis, S. Mallat and M. Avellaneda on Matching Pursuit.
• Bayesian Denoising via Wavelet Coring: Simoncelli and Adelson.
• Minimax Estimation (Stander and Silverman).
• Discrete Multiple Wavelet Transformations (Downie and Silverman)
• Inverse Problems (Abramovich and Silverman)
• Wickerhauser on Fast Factor Analysis