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Mathematics

D-Index
45
Citations
17149
World Ranking
1416
National Ranking
35

Overview

C. C. Heyde was affiliated with the Australian National University in Australia. Their research output included contributions to contemporary scientific literature, with recent publications in recognized academic venues.

Their most recent paper was titled "Table of Content," published in 2022 in the IEEE Electrification Magazine. This publication did not accrue citations at the time of record.

Throughout their career, C. C. Heyde collaborated frequently with several co-authors. These include:

  • Andrew C Halley
  • Andrew Groom
  • Mark Davies
  • Ulrich Muenz
  • Xue Nan

The scientist's work was predominantly published in the IEEE Electrification Magazine, marking it as a recurring venue for dissemination of their research findings.

Best Publications

  • Martingale Limit Theory and its Application

    R. M. Loynes;P. Hall;C. C. Heyde

  • Martingale Limit Theory and Its Application

    P Hall;E Lukacs;Z W Birnbaum;C C Heyde

  • Quasi-likelihood and Optimal Estimation

    V. P. Godambe;C. C. Heyde

  • Quasi-likelihood and its application : a general approach to optimal parameter estimation

    C. C Heyde

  • Quasi-likelihood and its application

    Christopher C. Heyde

  • Quasi-Likelihood and Optimal Estimation, Correspondent Paper

    Unknown

  • On Limit Theorems for Quadratic Functions of Discrete Time Series

    E. J. Hannan;C. C. Heyde

  • On a Property of the Lognormal Distribution

    C. C. Heyde

  • EXTENSION OF A RESULT OF SENETA FOR THE SUPER-CRITICAL GALTON-WATSON PROCESS

    C. C. Heyde

  • Confidence intervals for demographic projections based on products of random matrices

    C.C. Heyde;Joel E. Cohen

  • ESTIMATION THEORY FOR GROWTH AND IMMIGRATION RATES IN A MULTIPLICATIVE PROCESS

    C. C. Heyde;E. Seneta

  • On the Departure from Normality of a Certain Class of Martingales

    C. C. Heyde;C. C. Heyde;B. M. Brown;B. M. Brown

  • On the Central Limit Theorem for Stationary Processes.

    C. C. Heyde

  • A supplement to the strong law of large numbers

    Unknown

  • A RISKY ASSET MODEL WITH STRONG DEPENDENCE THROUGH FRACTAL ACTIVITY TIME

    C. C. Heyde

  • Smoothed periodogram asymptotics and estimation for processes and fields with possible long-range dependence

    C.C. Heyde

  • On Asymptotic Posterior Normality for Stochastic Processes

    C. C. Heyde;I. M. Johnstone

  • Dynamic models of long-memory processes driven by Lévy noise

    Vo Anh;Chris Heyde;Nikolai Leonenko

  • On Defining Long-Range Dependence

    C. C. Heyde;Y. Yang

  • On Large Deviation Problems for Sums of Random Variables which are not Attracted to the Normal Law

    C. C. Heyde

  • I. J. Bienayme Statistical Theory Anticipated.

    C. C. Heyde;Eugene Seneta

  • A contribution to the theory of large deviations for sums of independent random variables

    C. C. Heyde

  • Remarks on efficiency in estimation for branching processes

    C. C. Heyde

Frequent Co-Authors

Eugene Seneta
Eugene Seneta University of Sydney
Jiti Gao
Jiti Gao Monash University
Vo Anh
Vo Anh Queensland University of Technology
E. J. Hannan
E. J. Hannan Australian National University
Luigi Accardi
Luigi Accardi University of Rome Tor Vergata

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