Jeffrey D. Scargle

15 papers Journal 12Unranked 2
YearRankTypeTitle / Venue / Authors
2010 — conf
Optimal Partitions of Data In Higher Dimensions.
CIDU
Bradley W. Jackson, Jeffrey D. Scargle, Chris Cusanza, David Barnes, Dennis Kanygin, Russell Sarmiento, Sowmya Subramaniam, Tzu-Wang Chuang
2009 — ch.
Astronomical Time Series, Complexity in.
Encyclopedia of Complexity and Systems Science
Jeffrey D. Scargle
2008 J jnl
Using Bayesian Blocks to Partition Self-Organizing Maps
CoRR
Paul R. Gazis, Jeffrey D. Scargle
2007 J jnl
Fractal-Based Point Processes.
Technometrics
Jeffrey D. Scargle
2007 J jnl
Joint Segmentation of Multivariate Astronomical Time Series: Bayesian Sampling With a Hierarchical Model.
IEEE Trans. Signal Process.
Nicolas Dobigeon, Jean-Yves Tourneret, Jeffrey D. Scargle
2006 — conf
Joint segmentation of multivariate Poissonian time series. Application to burst and transient source experiments.
EUSIPCO
Nicolas Dobigeon, Jean-Yves Tourneret, Jeffrey D. Scargle
2005 J jnl
An algorithm for optimal partitioning of data on an interval.
IEEE Signal Process. Lett.
Bradley W. Jackson, Jeffrey D. Scargle, David Barnes, Sundararajan Arabhi, Alina Alt, Peter Gioumousis, Elyus Gwin, Paungkaew Sangtrakulcharoen, Linda Tan, Tun Tao Tsai
2005 J jnl
Bayesian blocks: Wavelets and beyond.
Integr. Comput. Aided Eng.
Jeffrey D. Scargle
2005 J jnl
Chaos and Time-Series Analysis.
Technometrics
Jeffrey D. Scargle
2004 J jnl
An Introduction to the Theory of Point Processes, Vol. I: Elementary Theory and Methods.
Technometrics
Jeffrey D. Scargle
2003 J jnl
An Algorithm for Optimal Partitioning of Data on an Interval
CoRR
Bradley W. Jackson, Jeffrey D. Scargle, David Barnes, Sundararajan Arabhi, Alina Alt, Peter Gioumousis, Elyus Gwin, Paungkaew Sangtrakulcharoen, Linda Tan, Tun Tao Tsai
2002 J jnl
Instantaneous Spectrum Estimation from Event-Based Densities.
EURASIP J. Adv. Signal Process.
Lorenzo Galleani, Leon Cohen, Douglas J. Nelson, Jeffrey D. Scargle
2002 J jnl
Nonlinear and Nonstationary Signal Processing.
Technometrics
Jeffrey D. Scargle
1989 J jnl
An introduction to chaotic and random time series analysis.
Int. J. Imaging Syst. Technol.
Jeffrey D. Scargle
1977 J jnl
Absolute value optimization to estimate phase properties of stochastic time series (Corresp.).
IEEE Trans. Inf. Theory
Jeffrey D. Scargle