World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
43
Citations
32536
World Ranking
1636
National Ranking
111

Research.com Recognitions

  • 1960 - Fellow of the American Statistical Association (ASA)

Overview

James Durbin was affiliated with the London School of Economics and Political Science in the United Kingdom. Their research primarily spanned the field of Biochemistry, Genetics and Molecular Biology, with particular contributions to the subfields of Molecular Biology, Cancer Research, Genetics, Information Systems, and Immunology.

The scientist published extensively on topics including Cancer Genomics and Diagnostics, Genomics and Chromatin Dynamics, Genomic Variations and Chromosomal Abnormalities, Education and Learning Interventions, Advanced Thermodynamics and Statistical Mechanics, Thermal Radiation and Cooling Technologies, and Advanced Thermoelectric Materials and Devices.

Among the recent papers authored or co-authored by James Durbin were:

  • Tracing cancer evolution and heterogeneity using Hi-C, 2023, Nature Communications
  • Freestanding graphene heat engine analyzed using stochastic thermodynamics, 2023, AIP Advances
  • Tracing cancer evolution and heterogeneity using Hi-C, 2023, bioRxiv (Cold Spring Harbor Laboratory)
  • Effects of Principals' Perceived School Climate and Job Satisfaction on School Climate, 2020, Proceedings of the 2020 AERA Annual Meeting
  • An Examination of Effects of Student Math Extracurricular Participation on Math Self-Efficacy and Proficiency, 2020, Proceedings of the 2020 AERA Annual Meeting

James Durbin frequently collaborated with other researchers, including Dan D. Erdmann-Pham, Sanjit Singh Batra, Timothy K. Turkalo, Marco Blanchette, and Iwei Yeh.

The scientist's work was published in various venues, with multiple contributions to the Proceedings of the 2020 AERA Annual Meeting, Nature Communications, AIP Advances, bioRxiv (Cold Spring Harbor Laboratory), and Human Immunology.

James Durbin received the award of Fellow of the American Statistical Association in 1960.

Best Publications

  • Techniques for Testing the Constancy of Regression Relationships Over Time

    Robert L. Brown;J. Durbin;J. M. Evans

  • Time Series analysis by state space methods

    James Durbin;Siem Jan Koopman

  • Testing for serial correlation in least squares regression. II.

    J. Durbin;G. S. Watson

  • The fitting of time series models

    J. Durbin

  • Testing for Serial Correlation in Least-Squares Regression When Some of the Regressors are Lagged Dependent Variables

    Unknown

  • A Simple and Efficient Simulation Smoother for State Space Time Series Analysis

    J. Durbin;S. J. Koopman

  • Monte Carlo maximum likelihood estimation for non-Gaussian state space models

    J. Durbin;S.J.M. Koopman

  • Estimation of Parameters in Time-Series Regression Models

    J. Durbin

  • Distribution theory for tests based on the sample distribution function

    J. Durbin

  • Time series analysis of non‐Gaussian observations based on state space models from both classical and Bayesian perspectives

    J. Durbin;S.J.M. Koopman

  • EFFICIENT ESTIMATION OF PARAMETERS IN MOVING-AVERAGE MODELS

    J. Durbin

  • Weak convergence of the sample distribution function when parameters are estimated

    J. Durbin

  • Tests for serial correlation in regression analysis based on the periodogram of least-squares residuals

    J. Durbin

  • The first-passage density of a continuous gaussian process to a general boundary

    J. Durbin

  • Components of Cramer-von Mises statistics. I

    J. Durbin;M. Knott

  • Boundary-crossing probabilities for the Brownian motion and Poisson processes and techniques for computing the power of the Kolmogorov-Smirnov test

    Unknown

  • Fast filtering and smoothing for multivariate state space models

    S.J.M. Koopman;J. Durbin

  • INCOMPLETE BLOCKS IN RANKING EXPERIMENTS

    J. Durbin

  • Kolmogorov-Smirnov tests when parameters are estimated with applications to tests of exponentiality and tests on spacings

    J. Durbin

  • Some methods of constructing exact tests

    J. Durbin

  • Time Series Analysis by State Space Methods: Second Edition

    Siem Jan Koopman;James Durbin

  • Introduction to state space time series analysis

    James Durbin

  • THE FIRST-PASSAGE DENSITY OF A CONTINUOUS GAUSSIAN PROCESS

    J. Durbin

Frequent Co-Authors

Siem Jan Koopman
Siem Jan Koopman Vrije Universiteit Amsterdam
David R. Cox
David R. Cox University of Oxford
Walter F. Bodmer
Walter F. Bodmer University of Oxford
Robin A. Weiss
Robin A. Weiss University College London
Julian Peto
Julian Peto London School of Hygiene & Tropical Medicine
Richard Doll
Richard Doll University of Oxford
Maurice G. Kendall
Maurice G. Kendall Queensland University of Technology

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