INTERNATIONAL WORKSHOP ON WAVELETS AND STATISTICS
Statistics Week at Duke
Duke University,
October 12-13, 1997
LIST OF ALL PARTICIPANTS
ELECTRONIC PROCEEDINGS
PROGRAM
(Speakers' names appear in bold)
Please note that
All invited talks are in the Von Canon Hall,
Bryan Center,
West Campus, Duke University
All contributed talks are in the rooms 126, 127, 129
Sociology-Psychology Building,
West Campus, Duke University
The Poster Presentations are combined with an informal workshop reception (with cash bar) in Von Canon Hall, Bryan Center.
For information about local accommodations see
LOCAL INFO
SUNDAY 12th OCTOBER
9:00am-9:30am Registration
Located in Bryan Center.
9:30am-9:40am Welcome and Introduction (Von Canon ABC)
9:40am - 1:05pm: SESSION 1 (Invited Talks, Von Canon ABC)
Chair:
Bernard Silverman,
U. of Bristol, UK and Stanford U.
9:40-10:20
Iain Johnstone,
Stanford U.
False Discovery Rates, Orthogonal Regression and Wavelet Thresholding
10:25-11:05
Eric Kolaczyk,
U. of Chicago and Harvard U.
Wavelet Shrinkage Estimation of Poisson Intensities Using Corrected Thresholds, with Applications to Astronomical Signals and Images
11:05-11:25
Coffee Break
Chair:
Mary Ellen Bock,
Purdue U.
11:25-12:05
Gilbert Walter,
U. of Wisconsin
Continuous Non-negative Wavelets and Their Use in Density Estimation
12:10-12:50
Naoki Saito,
U. of California, Davis
Feature Extraction, Discrimination, and Classification using Wavelets
12:50-1:05
FLOOR DISCUSSION
1:05pm - 2:30pm: LUNCH BREAK
2:30pm - 6:25pm: SESSION 2 (Invited Talks, Von Canon ABC)
Chair:
Gilbert Walter,
U. of Wisconsin
2:30-3:10
Steve Marron,
UNC-Chapel Hill & Robert Kohn, U. of New South Wales
Bayesian Wavelet Shrinkage
3:15-3:55
Tony Cai,
Purdue U.
Simultaneous Adaptive Estimation of Functions and Their Derivatives
3:55-4:15
Coffee Break
Chair:
Iain Johnstone,
Stanford U.
4:15-5:25
Andrew Bruce,
& Donald Percival, MathSoft, Seattle, WA
S-Plus Wavelets: The Next Generation
5:30-6:10
Rainer von Sachs,
U. of Kaiserslautern, Germany & Brenda McGibbon, U. of Montreal, Canada
Wavelet Estimation for Curves with Non-stationary Errors
6:10-6:25
FLOOR DISCUSSION
6:25pm - 7:30pm: Free time
7:30pm - 11:00pm:
Informal Reception, Workshop Mixer and Poster Session
Bryan Center, Von Canon Hall
POSTERS
Licia Lenarduzzi
I.A.M.I. C.N.R., Italy & Mira Bozzini,
Describing a Smooth Function
Gabriel Huerta,
Duke U.
Bayes Wavelet Shrinkage and Applications to Data Denoising
Aluisio Pinheiro,
UNC - Chapel Hill
Non-equally Spaced Wavelet Regression
Merlise Clyde,
Duke U. & Ed George, U. of Texas at Austin
Robust Empirical Bayes Estimation in Wavelets
Todd Ogden,
U. of South Carolina & Cheng Cheng, Johns Hopkins U.
Testing for Abrupt Jumps with Wavelets
Pedro A. Morettin
& Chang Chiann, U. of São Paulo, Brasil
Estimation of Time-varying Linear Systems Using Wavelets
Yazhen Wang,
Joseph E. Cavanaugh & Changyong Song, U. of Missouri
Self-Similarity Index Estimation via Wavelets for Locally Self-Similar Processes
Marios Gavrielides,
MC, Duke U.
Enhancement of Mammographic Features Using Wavelet Filters
Canan Bilen
& Snehalata V. Huzurbazar, U. of Wyoming
Detection of Outliers in Time Series Data Using Wavelets
David Higdon,
Duke U.
Markov Random Fields in Wavelet Domain and Experiments in Synthetic Imaging
Sonia M. Gomez,
U. of Campines, Brasil and Princeton U.
Some Aspects of the Numerical Approximation of PDEs Based on Biorthogonal Spline Wavelets
Jonathan Raz,
U. of Michigan
Wavelet Packet Models of Event-Related Potentials
J. W. Wang,
C. H. Chen, Nat. Cheng Kung U., Taiwan & J. S. Pan, Nat. Kaohsiung I. T., Taiwan,
2-D Non-Separable Wavelet Frames for Texture Segmentation using Genetic Algorithms
MONDAY 13th OCTOBER
8:30am-9:00am: Coffee
Located in Bryan Center.
9:00am - 12:10pm: SESSION 3 (Invited Talks, Von Canon ABC, Bryan Center)
Chair:
Mike West,
Duke U.
9:00-9:40
Bernard Silverman,
U. of Bristol, UK, and CASBS, Stanford
Wavelet Regression: Relaxing the Assumptions
9:45-10:25
Guy Nason,
and Theofanis Sapatinas, U. of Bristol, UK &Andrew Sawczenko, Royal Hospital, Bristol, UK
Statistical Modelling of Time Series Using Stationary Wavelet Representations
10:25-10:45
Coffee Break
Chair:
Jim Berger,
Duke U.
10:45-11:25
Wim Sweldens,
Bell Laboratories, Lucent Technologies
Wavelet Geometry Processing
11:30-12:10
David Donoho,
Stanford U.
Edgelets, Wedgelets, and Ridgelets
12:10-12:25
FLOOR DISCUSSION
12:25pm-2:00pm LUNCH BREAK
SESSION 4 (Contributed Talks: Theoretical Advances, Room 126 SOC-PSY BUILDING,)
Chair:
Guy Nason,
Bristol U., UK
2:00-2:15
Marianna Y. Pensky,
U. of Central Florida
Wavelet Estimation in Non-parametric Deconvolution Problem
2:20-2:35 Felix Abramovich, U. of Tel Aviv, Israel
Theofanis Sapatinas,
& Bernard Silverman, U. of Bristol, UK
Random Functions Defined by Atomic Decompositions in Orthonormal Wavelet Dictionaries
2:40-2:55
Marina Vannucci,
& Phil Brown, U. of Kent, UK and Tom Fearn, U C London, UK
Bayesian Wavelet Analysis of Noisy Measurements from Long-memory Processes
3:00-3:15
Skander Soltani,
U.M.R. C.N.R.S. 6599, France & S. Canu, D. Boichu
A Regression Estimation Method Based on Wavelet Frames
3:20-3:40
Coffee Break
Chair:
Rainer von Sachs,
U. of Kaiserslautern, Germany
3:40-3:55
Su-Yun Huang
& Henry Horng-Shing Lu, NCTU, Taiwan
Wavelet Shrinkage via Bayesian Model
4:00-4:15
Bhavik R. Bakshi
& Prem Goel, Xiaotong Shen, Ohio State U.
Multiscale Principal Component Analysis for Multivariate Denoising and Statistical Process Control
4:20-4:35
L.T. Dechevsky,
U. de Montreal, Canada
Asymptotically Minimax Non-parametric Estimation with Positivity Constraints
4:40-4:55
Maarten Jansen,
U. of Leuven, Belgium
Wavelet Thresholding Using Generalized Cross Validation
SESSION 5 (Contributed Talks: Applications 1, Room 127 SOC_PSY Building)
Chair:
Pedro Morettin,
U. of Sao Paulo, Brasil
2:00-2:15
Mark J. Jensen,
Southern Illinois U.
A Wavelet Based Estimator of a ARFIMA Process's Short-run and Long-run Parameters
2:20-2:35
Esben Hoeg,
The Aarhus School of Business and Berkeley U.
Analyzing Continuous-time Long-memory Models with Wavelets
2:40-2:55
Brandon Whitcher,
Donald B. Percival, and Peter Guttorp, U. of Washington
The Discrete Wavelet Transform and Kolmogorov-type Statistic for Detecting Transient Behavior in Physical Time Series
3:00-3:15
Shuji Kawasaki
& Hiroyoshi Morita
UEC - Japan
Extraction of Self-similarity from Multi-level Fourier Series
3:20-3:40
Coffee Break
Chair:
Marianna Pensky,
U. of Central Florida
3:40-3:55
Omar Aguilar Chavez,
Duke U.
Wavelet and Autoregressive Decompositions For Evaluating Frequency Composition In Time Series
4:00-4:15
Antony Davis,
& Stephane Roux, Alexander Marshak, and Warren Wiscombe, NASA - GSFC
Wavelet-Based Characterization of Scaling and Multifractality in One- and Two-dimensional Natural Signals
4:20-4:35
Bai-Lian Li,
U. of New Mexico
Wavelet Methods in Ecological Transect Data Analysis
4:40-4:55
Jean Roayaei,
Fayetteville State U.
An Econometric Study of the Last Five Minute Trading Volumes in DJIA and FT100 Indices: Fourier & Wavelet Representations
SESSION 6 (Contributed Talks: Applications 2, Room 129 SOC-PSY Building)
Chair:
Merlise Clyde,
Duke U.
2:00-2:15
Paul Gendron,
Boston C.
Best Basis Selection and Soft Thresholding via Maxent Prior with Bayes Theorem for Seismic Signal Filtering.
2:20-2:35
Xavier Otazu,
U. of Barcelona, Spain
Reconstruction and Fusion of LANDSAT and SPOT Images Using Wavelets
2:40-2:55
Henry Horng-Shing Lu,
National Chiao Tung U., Taiwan
Toward Texture Image Segmentation Using Wavelets Based on a Vision Model
3:00-3:15
Salvador Cerda
& Josi Romero U. of Valencia, Spain
Automatic Threshold and Segmentation in the "De-noising"
3:20-3:40
Coffee Break
PROGRAM
