INSTITUTE OF STATISTICS AND DECISION SCIENCES
Discussion Paper Series
Brani Vidakovic
00-07
Brani Vidakovic Gamma-Minimax: A Paradigm for Conservative Robust Bayesians (abstract .html, .pdf)
00-06
Brani Vidakovic and Fabrizio Ruggeri BAMS Method: Theory and Simulations (abstract .html, .pdf)
00-02
Brani Vidakovic, Gabriel Katul and John Albertson Multiscale Denoising of Self-Similar processes (abstract .html, .pdf)
99-24 G.Katul, B. Vidakovic, and J. Albertson Estimating Global and Local Scaling Exponents in Turbulent Flows using
Wavelet Transformations (abstract .html, .pdf)
99-01
Mueller, Peter and Vidakovic, Brani
MCMC Methods in Wavelet Shrinkage: Non-Equally Spaced Regression,
Density and Spectral Density Estimation
(abstract)
98-31
Terence Tao and Brani Vidakovic Almost Everywhere Convergence of General Wavelet Shrinkage Estimators (abstract)
98-30
Brani Vidakovic and Gabriel Katul The Filtering of Ozone Concentration Measurements in
a Turbulent Air Stream Using Bayesian Models in the Wavelet Domain (abstract)
98-11 Marianna Pensky and Brani Vidakovic Adaptive Wavelet Estimator for Nonparametric Density Deconvolution (abstract)
98-06 Marianna Pensky and Brani Vidakovic On Non-equally spaced wavelet regression (abstract)
97-10 Ma, Yanyuan, Strang, Gilbert, and Vidakovic, Brani. The
First Moment of Wavelet Random Variables
97-09 Katul, Gabriel, Schieldge, John, Kuhn, Greg, Hsieh, Cheng-I,
and Vidakovic, Brani. Skin Temperature Perturbations Induced
by Surface Layer Turbulence *ONLY available in hard copy* -- send email to
nicole@stat.duke.edu
97-05 Insua Rios, David and Vidakovic, Brani. Wavelet-Based Random Densities
97-04 Vidakovic, Brani and Ruggeri, Fabrizio. Expansion Estimation By Bayes Rules
96-24
Concha Bielza and Brani Vidakovic. Time Adaptive Wavelet Denoising
96-23
Gabriel Katul and Brani Vidakovic. Identification of Low-Dimensional
Energy Containing/Flux Transporting Eddy Motion in the Atmospheric Surface
Layer Using Wavelet Thresholding Methods
95-37
Merlise Clyde, Giovanni Parmigiani and Brani Vidakovic Multiple
Shrinkage and Subset Selection in Wavelets (revised 9/15/97)
95-35
Fabrizio Ruggeri and Brani Vidakovic. A Bayesian Decision
Theoretic Approach to Wavelet Thresholding
95-34
Brani Vidakovic and Peter Mueller. Wavelet Shrinkage with
Affine Bayes Rules with Applications
95-33
Peter Mueller and Brani Vidakovic. Bayesian Inference with
Wavelets: Density Estimation
95-27
Marina Vannucci and Brani Vidakovic. Preventing the Dirac
Disaster: Wavelet Based Density Estimation
95-21
Miguel A. Arino and Brani Vidakovic. On Wavelet Scalograms and
Their Applications in Economic Time Series
95-14
Aluisio Pinheiro and Brani Vidakovic. Estimating The Square Root of
A Density Via Compactly Supported Wavelets
95-05
Gabriel Katul and Brani Vidakovic. The Partitioning of Attached and
Detached Eddy Motion in the Atmospheric Surface Layer Using Lorentz
Wavelet Filtering
95-04
Prem Goel and Brani Vidakovic. Wavelet Transformations as
Diversity Enhancers
94-25 Brani Vidakovic and Gabriel Katul. On Wavelet
Thresholding Turbulence Signals
***Not yet available***
94-24
Brani Vidakovic. Nonlinear Wavelet Shrinkage With Bayes Rules and
Bayes Factors
94-20
Anirban Dasgupta and Brani Vidakovic. Sample Size Problems in Anova:
Bayesian Point of View Also, PDF
94-19
Kathryn Burch, Merlise Clyde and Brani Vidakovic. A Bayesian
Design for Ecoregional Assessment of Minnesota's Lakes
94-16
Brani Vidakovic. Estimation of a Bounded Normal Mean: Modified
Linear and Polynomial Estimators
94-15
A. Dasgupta, Y. Rinott and B. Vidakovic. Stopping Times Related to
Diagnostics and Outliers
94-13
Brani Vidakovic and Peter Mueller. Wavelets for Kids - A Tutorial
Introduction
94-06
Brani Vidakovic. A Note on Random Densities via Wavelets
93-24 Saurabh Mukhopadhyay and Brani
Vidakovic. Efficiency of Linear Bayes Rules for a Normal Mean-Skewed
Priors Class
93-10 Brani Vidakovic and David Rios Insua. Some
Efficient Simple Rules in Gamma-minimax Estimation
93-09 Brani Vidakovic. All Roads Lead to Rome -
Even in the Honeycomb World
93-08 David Rios Insua, Fabrizio Ruggeri, and Brani
Vidakovic. Some Results on Posterior Regret Gamma-minimax
estimation
92-32
Brani Vidakovic. Gamma-Minimax Estimation with Ordered Observations
92-A31
Brani Vidakovic. Linear Versus Nonlinear Rules for Mixture Normal
Priors
92-29 Brani Vidakovic. On the Algorithmic
Complexity, Universal Prior and Ockham's Razor
92-25 Brani Vidakovic. On the Efficiency of Affine
Rules in Estimating Bounded Multivariate Normal Mean
92-22
Brani Vidakovic and Anirban DasGupta. Lower Bounds of Bayesian
Risk for Estimating a Normal Variance: With Applications