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  1. Book Series

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    Chapter

    Reminiscences of Steve

    I first met Steve in June, 1979, at the Fist International Bayesian Conference. At that time, Steve was the head of the Department of Applied Statistics at the University of Minnesota. We were both invited to ...

    William F. Eddy in Statistics in the Public Interest (2022)

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    Book

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    Article

    Parallel Algorithm for SWFFT Using 3D Data Structure

    Sliding-Window Fast Fourier Transform (SWFFT) is a very important and widely used time-frequency representation of a signal. In the paper, we mainly focus on the problem of how to implement non-recursive SWFFT...

    Jian-Ming Wang, William F. Eddy in Circuits, Systems, and Signal Processing (2012)

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    Chapter

    Functional Magnetic Resonance Imaging

    The 2003 Nobel Prize in Medicine went to Paul Lauterbur and Sir Peter Mansfield for the invention of magnetic resonance imaging (MRI) in the 1970s. Since its invention MRI has rapidly changed the world of medi...

    William F. Eddy, Rebecca L. McNamee in Handbook of Computational Statistics (2012)

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    Chapter and Conference Paper

    Functional Imaging Analysis Software — Computational Olio

    Magnetic resonance imaging (MRI) is a modern technique for producing pictures of the internals of the human body. An MR scanner subjects its contents to carefully modulated electro-magnetic fields and records ...

    William F. Eddy, Mark Fitzgerald, Christopher Genovese, Audris Mockus in COMPSTAT (1996)

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    Chapter

    Dynamic Visualization in Modelling and Optimization of Ill Defined Problems

    We consider visualization as a decision optimization tool in problems where the model and/or the objectives are not well defined. We investigate four specific problems representing different degrees of determi...

    William F. Eddy, Audris Mockus in State of the Art in Global Optimization (1996)

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    Chapter and Conference Paper

    Statistical Computing: What’s Past is Prologue

    We sketch an outline of statistical computation, an arena of increasing importance in statistics. Its roots are in the numerical analysis of statistical techniques, and its leaves are nearly everywhere that st...

    William F. Eddy, James E. Gentle in A Celebration of Statistics (1985)

  9. Article

    The asymptotic distributions of kernel estimators of the mode

    In a decreasing sequence of intervals centered on the true mode the normalized kernel estimate of the density converges weakly to a nonstationary Gaussian random process. The expected value of this process is ...

    William F. Eddy in Zeitschrift für Wahrscheinlichkeitstheorie und Verwandte Gebiete (1982)

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    Book and Conference Proceedings