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Mathematics

D-Index
55
Citations
19413
World Ranking
771
National Ranking
376

Overview

David H. Bailey is affiliated with Lawrence Berkeley National Laboratory in the United States. Their work spans multiple fields, primarily focusing on Economics, Econometrics and Finance, as well as Social Sciences.

The main subfields of study covered by their research include Finance, Economics and Econometrics, Sociology and Political Science, Political Science and International Relations, and Computational Theory and Mathematics. Their research topics cover a range of areas such as Financial Markets and Investment Strategies, Financial Risk and Volatility Modeling, Social Media and Politics, Numerical Methods and Algorithms, Complex Systems and Time Series Analysis, History and Theory of Mathematics, and Social and Cultural Dynamics.

David H. Bailey has published papers in various scholarly venues, with frequent contributions to:

  • American Mathematical Monthly
  • Nature Human Behaviour
  • PNAS Nexus
  • The International Journal of High Performance Computing Applications
  • SSRN Electronic Journal

Some notable papers authored or co-authored by Bailey include:

  • "Homophily and acrophily as drivers of political segregation," 2022, Nature Human Behaviour
  • "Attraction to politically extreme users on social media," 2024, PNAS Nexus
  • "Finance is Not Excused: Why Finance Should Not Flout Basic Principles of Statistics," 2021, SSRN Electronic Journal
  • "Discovery of Novel Trypanosoma brucei Phosphodiesterase B1 Inhibitors by Virtual Screening against the Unliganded TbrPDEB1 Crystal Structure," 2020, OPAL (Open@LaTrobe) (La Trobe University)
  • "Reproducibility and variable precision computing," 2020, The International Journal of High Performance Computing Applications

In addition to journal articles, Bailey has contributed to book publications. These include titles published by Oxford University Press and Springer International Publishing, such as "Competition Law" (2024) and "From Analysis to Visualization" (2020).

Their frequent collaborators feature several researchers with whom they have co-authored multiple works, including:

  • Marcos López de Prado
  • Richard Whish
  • Amit Goldenberg
  • Jonas Schöne
  • Robb Willer

Best Publications

  • The NAS parallel benchmarks—summary and preliminary results

    D. H. Bailey;E. Barszcz;J. T. Barton;D. S. Browning

  • The Nas Parallel Benchmarks

    D.H. Bailey;E. Barszcz;J.T. Barton;D.S. Browning

  • IEEE Standard for Floating-Point Arithmetic

    Dan Zuras;Mike Cowlishaw;Alex Aiken;Matthew Applegate

  • On the rapid computation of various polylogarithmic constants

    David Bailey;Peter Borwein;Simon Plouffe

  • NAS parallel benchmark results

    D.H. Bailey;E. Barszcz;L. Dagum;H.D. Simon

  • FFTs in external or hierarchical memory

    D. H. Bailey

  • The fractional Fourier transform and applications

    David H. Bailey;Paul N. Swarztrauber

  • Enhancing reproducibility for computational methods.

    Victoria Stodden;Marcia McNutt;David H. Bailey;Ewa Deelman

  • Experimentation in mathematics : computational paths to discovery

    Jonathan M. Borwein;David H. Bailey;Roland Girgensohn

  • Algorithms for quad-double precision floating point arithmetic

    Y. Hida;X.S. Li;D.H. Bailey

  • Precimonious: tuning assistant for floating-point precision

    Cindy Rubio-González;Cuong Nguyen;Hong Diep Nguyen;James Demmel

  • Analysis of PSLQ, an integer relation finding algorithm

    Helaman R. P. Ferguson;David H. Bailey;Steve Arno

  • Design, implementation and testing of extended and mixed precision BLAS

    Xiaoye S. Li;James W. Demmel;David H. Bailey;Greg Henry

  • Experimental Mathematics in Action

    David H. Bailey

  • A Fortran 90-based multiprecision system

    David H. Bailey

  • THE SHARPE RATIO EFFICIENT FRONTIER

    David H. Bailey;Marcos M. López de Prado

  • Algorithm 719: Multiprecision translation and execution of FORTRAN programs

    David H. Bailey

  • PSEUDO-MATHEMATICS AND FINANCIAL CHARLATANISM: THE EFFECTS OF BACKTEST OVERFITTING ON OUT-OF-SAMPLE PERFORMANCE

    David H. Bailey;Jonathan M. Borwein;Marcos López de Prado;Qiji Jim Zhu

  • Ramanujan, modular equations, and approximations to Pi or how to compute one billion digits of Pi

    J. M. Borwein;P. B. Borwein;D. H. Bailey

  • Parallel integer relation detection: techniques and applications

    David H. Bailey;David J. Broadhurst

  • Elliptic integral evaluations of Bessel moments

    David H. Bailey;Jonathan M. Borwein;David Broadhurst;M. L. Glasser

  • ARPREC: An arbitrary precision computation package

    David H. Bailey;Hida Yozo;Xiaoye S. Li;Brandon Thompson

  • Design, implementation and testing of extended and mixed precision BLAS

    X.S. Li;J.W. Demmel;D.H. Bailey;G. Henry

Frequent Co-Authors

Jonathan M. Borwein
Jonathan M. Borwein University of Newcastle Australia
Horst D. Simon
Horst D. Simon Lawrence Berkeley National Laboratory
Xiaoye S. Li
Xiaoye S. Li Lawrence Berkeley National Laboratory
Jack Dongarra
Jack Dongarra University of Tennessee at Knoxville
Samuel Williams
Samuel Williams Lawrence Berkeley National Laboratory
Allan Snavely
Allan Snavely University of California, San Diego
Peter Borwein
Peter Borwein Simon Fraser University
James Demmel
James Demmel University of California, Berkeley
Leonid Oliker
Leonid Oliker Lawrence Berkeley National Laboratory
Katherine Yelick
Katherine Yelick University of California, Berkeley

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