Jeffrey D. Scargle

According to our database, Jeffrey D. Scargle authored at least 16 papers between 1977 and 2010.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2010

Optimal Partitions of Data In Higher Dimensions.

Bradley W. Jackson, Jeffrey D. Scargle, Chris Cusanza, David Barnes, Dennis Kanygin, Russell Sarmiento, Sowmya Subramaniam, Tzu-Wang Chuang

Proceedings of the 2010 Conference on Intelligent Data Understanding, 2010

2009

Astronomical Time Series, Complexity in.

Jeffrey D. Scargle

Proceedings of the Encyclopedia of Complexity and Systems Science, 2009

2008

Using Bayesian Blocks to Partition Self-Organizing Maps

Paul R. Gazis, Jeffrey D. Scargle

CoRR, 2008

2007

Joint Segmentation of Multivariate Astronomical Time Series: Bayesian Sampling With a Hierarchical Model.

Nicolas Dobigeon, Jean-Yves Tourneret, Jeffrey D. Scargle

IEEE Trans. Signal Process., 2007

Fractal-Based Point Processes.

Jeffrey D. Scargle

Technometrics, 2007

2006

A Robust and Accurate Segmentation of Iris Images Using Optimal Partitioning.

Amjad Zaim, Mahmoud K. Quweider, Jeff Scargle, Juan Iglesias, R. Tang

Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

Edge Detection Using Dynamic Optimal Partitioning.

Jeff Scargle, Mahmoud K. Quweider

Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Joint segmentation of multivariate Poissonian time series. Application to burst and transient source experiments.

Nicolas Dobigeon, Jean-Yves Tourneret, Jeffrey D. Scargle

Proceedings of the 14th European Signal Processing Conference, 2006

2005

Chaos and Time-Series Analysis.

Jeffrey D. Scargle

Technometrics, 2005

An algorithm for optimal partitioning of data on an interval.

Bradley W. Jackson, Jeffrey D. Scargle, David Barnes, Sundararajan Arabhi, Alina Alt, Peter Gioumousis, Elyus Gwin, Paungkaew Sangtrakulcharoen, Linda Tan, Tun Tao Tsai

IEEE Signal Process. Lett., 2005

Bayesian blocks: Wavelets and beyond.

Jeffrey D. Scargle

Integr. Comput. Aided Eng., 2005

2004

An Introduction to the Theory of Point Processes, Vol. I: Elementary Theory and Methods.

Jeffrey D. Scargle

Technometrics, 2004

2002

Nonlinear and Nonstationary Signal Processing.

Jeffrey D. Scargle

Technometrics, 2002

Instantaneous Spectrum Estimation from Event-Based Densities.

Lorenzo Galleani, Leon Cohen, Douglas J. Nelson, Jeffrey D. Scargle

EURASIP J. Adv. Signal Process., 2002

1989

An introduction to chaotic and random time series analysis.

Jeffrey D. Scargle

Int. J. Imaging Syst. Technol., 1989

1977

Absolute value optimization to estimate phase properties of stochastic time series (Corresp.).

Jeffrey D. Scargle

IEEE Trans. Inf. Theory, 1977