Jeffrey D. Scargle
Studies in Astronomical Time Series Analysis (Astrophysical Journal)
Studies in Astronomical Time Series Analysis:
I. Modeling Random Processes in the Time Domain
The Astrophysical Journal Supplement Series, 45, 1-71, 1981
January
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Studies in Astronomical Time Series Analysis:
III. Fourier Transforms, Autocorrelation Functions, and
Cross-Correlation Functions of Unevenly Spaced Data
Astrophysical Journal, 343, 874-887, 1989 August 15.
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Studies in Astronomical Time Series Analysis:
IV. Modeling Chaotic and Random Processes with Linear Filters
The Astrophysical Journal, 359, 469-482, 1990 August 20
Postscript
Studies in Astronomical Time Series Analysis:
V. Bayesian Blocks, A New Method to Analyze Structure in Photon
Counting Data (Postscript)
Astrophysical Journal.
Statistical Challenges in Modern Astronomy (Penn State Conferences)
I. (1992) Chaotic Processes in Astronomical Data
II. (1997) Wavelet and Other
Multi-resolution Methods for Time Series Analysis
III. (2001) Advanced Tools for Astronomical Time
Series and Image Analysis
Presentations
High Energy Astrophysics Division of the American
Astronomical Society, 2004:
Data Analysis Through Segmentation:
Bayesian Blocks and Beyond
Mathematical Challenges in Astronomical Imaging, Institute for Pure and
Applied Mathematics, UCLA
January 26 - 30, 2004
A Procedure and Efficient Algorithm for
Segmented Signal Estimation in Time Series, Image, and Higher
Dimensional Data
Machine Learning Seminar, NASA Ames Research Center
A Novel Approach to Novelty Detection:
Voronoi Tesselation
Miscellaneous:
Bayesian Estimation of Time Series Lags and Structure,
talk at the Workshop on Bayesian Inference and Maximum Entropy Methods
in
Science and Engineering (MaxEnt 2001)
Bayesian Blocks in Two or More Dimensions:
Image Segmentation and Cluster Analysis,
talk at the Workshop on Bayesian Inference and Maximum Entropy Methods
in
Science and Engineering (MaxEnt 2001)
Publication Bias (The "File-Drawer Problem")
in Scientific Inference,
talk presented ath the Sturrock Symposium
in honor of Professor Peter A. Sturrock and
published in the Journal of Scientific Exploration.
IN PREPARATION:
DRAFT: Studies in Astronomical Time Series Analysis:
VI. Optimum Partition of the Interval:
Bayesian Blocks, Histograms and Triggers
Postscript
pdf
DRAFT: An Algorithm for Optimal Partitioning of Data on an Interval
Postscript
pdf
DRAFT: Analysis of Measurements Distributed over a Data Space,
talk at the PHYSTAT2003
meeting at the Stanford Linear Accelerator
Center (SLAC)
Postscript
pdf
For more information contact Jeff Scargle at:
jeffrey@cosmic.arc.nasa.gov
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