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Mathematics

D-Index
40
Citations
7046
World Ranking
2045
National Ranking
865

Overview

David M. Mason is affiliated with the University of Delaware in the United States. Their research spans multiple disciplines with a focus on both Physics and Astronomy and Economics, Econometrics and Finance. Within these fields, Mason's work encompasses several specialized subfields including Nuclear and High Energy Physics, Finance, Management Science and Operations Research, Spectroscopy, and Mathematical Physics.

The scientist's primary topics of study include Quantum Chromodynamics and Particle Interactions, Particle physics theoretical and experimental studies, Stochastic processes and financial applications, Probability and Risk Models, High-Energy Particle Collisions Research, Advanced NMR Techniques and Applications, and Black Holes and Theoretical Physics.

Mason has contributed to several publication venues, notably:

  • Physical review. D/Physical review. D.
  • Zenodo (CERN European Organization for Nuclear Research)
  • Journal of Theoretical Probability
  • Electronic Journal of Probability
  • Latin American Journal of Probability and Mathematical Statistics

Their recent papers include:

  • First-order phase transitions in Yang-Mills theories and the density of state method, 2023, Physical review. D/Physical review. D.
  • First-order phase transitions in Yang-Mills theories and the density of state method-data and analysis code release, 2023, Zenodo (CERN European Organization for Nuclear Research)
  • Density of states method for symplectic gauge theories at finite temperature, 2025, Physical review. D/Physical review. D.
  • Self-Standardized Central Limit Theorems for Trimmed Lévy Processes, 2020, Journal of Theoretical Probability
  • Compactness and continuity properties for a Lévy process at a two-sided exit time, 2020, Electronic Journal of Probability

Mason frequently collaborates with a number of co-authors, including Biagio Lucini, Maurizio Piai, Enrico Rinaldi, Davide Vadacchino, and Ed Bennett.

The scientist was awarded the title of Fellow of the American Statistical Association (ASA) in 1968.

Best Publications

  • Laws of Large Numbers for Sums of Extreme Values

    David M. Mason

  • Kernel Estimates of the Tail Index of a Distribution

    Sandor Csorgo;Paul Deheuvels;David Mason

  • Uniform in bandwidth consistency of kernel-type function estimators

    Uwe Einmahl;David M. Mason

  • Weighted Empirical and Quantile Processes

    Miklos Csorgo;Sandor Csorgo;Lajos Horvath;David M. Mason

  • When is the Student $t$-statistic asymptotically standard normal?

    Evarist Giné;Friedrich Götze;David M. Mason

  • High Dimensional Probability Ii

    Evarist Giné;David M. Mason;Jon A. Wellner

  • An Empirical Process Approach to the Uniform Consistency of Kernel-Type Function Estimators

    Uwe Einmahl;David M. Mason

  • A Rank Statistics Approach to the Consistency of a General Bootstrap

    David M. Mason;Michael A. Newton

  • Almost sure convergence of the Hill estimator

    Paul Deheuvels;Erich Haeusler;David M. Mason

  • Central limit theorems for sums of extreme values

    Sándor Csörgoő;David M. Mason

  • Generalized quantile processes

    John Einmahl;D.M. Mason

  • A Modified Kolmogorov-Smirnov Test Sensitive to Tail Alternatives

    David M. Mason;John H. Schuenemeyer

  • Functional Laws of the Iterated Logarithm for the Increments of Empirical and Quantile Processes

    Paul Deheuvels;David M. Mason

  • A probabilistic approach to the asymptotic distribution of sums of independent, identically distributed random variables

    Sándor Csörgö;Erich Haeusler;David M Mason

  • What portion of the sample makes a partial sum asymptotically stable or normal

    Sándor Csörgő;Lajos Horváth;David M. Mason

  • On local U-statistic processes and the estimation of densities of functions of several sample variables

    Evarist Giné;David M. Mason

  • A strong invariance theorem for the tail empirical process

    David M. Mason

  • On the estimation of the gradient lines of a density and the consistency of the mean-shift algorithm

    Ery Arias-Castro;David Mason;Bruno Pelletier

  • General Asymptotic Confidence Bands Based on Kernel-type Function Estimators

    Paul Deheuvels;David M. Mason

  • Asymptotic normality of plug-in level set estimates.

    David M. Mason;Wolfgang Polonik

  • The Asymptotic Distribution of Trimmed Sums

    Sandor Csorgo;Erich Haeusler;David M. Mason

Frequent Co-Authors

Paul Deheuvels
Paul Deheuvels Sorbonne University
Lajos Horváth
Lajos Horváth University of Utah
Jon A. Wellner
Jon A. Wellner University of Washington
Jan Beirlant
Jan Beirlant KU Leuven
Friedrich Götze
Friedrich Götze Bielefeld University
Qi-Man Shao
Qi-Man Shao Chinese University of Hong Kong
Ery Arias-Castro
Ery Arias-Castro University of California, San Diego

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