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Mathematics

D-Index
36
Citations
5401
World Ranking
2645
National Ranking
1089

Research.com Recognitions

  • 2003 - Fellow of the American Statistical Association (ASA)

Overview

Hira L. Koul is affiliated with Michigan State University in the United States. Their research primarily focuses on the field of Mathematics, with a particular emphasis on Statistics and Probability. Koul's work spans various subfields including Finance, Artificial Intelligence, Statistics, Probability and Uncertainty, as well as Management Science and Operations Research.

Their research topics cover a breadth of statistical methods and inference techniques, advanced statistical models, Bayesian inference, financial risk and volatility modeling, statistical distribution estimation and applications, mixture models, and advanced statistical process monitoring.

Frequent publication venues for Koul's research include:

  • Journal of Time Series Analysis
  • Journal of the Indian Society for Probability and Statistics
  • Journal of Statistical Theory and Practice
  • Journal of Statistical Planning and Inference
  • Metrika

Koul has contributed to several recent papers, which highlight the range of their statistical research:

  • A Minimum Distance Lack-of-Fit Test in a Markovian Multiplicative Error Model (2021, Journal of Statistical Theory and Practice)
  • Weighted empirical minimum distance estimators in linear errors-in-variables regression models (2021, Journal of Statistical Planning and Inference)
  • An R-Estimator in the Errors in Variables Linear Regression Model (2022, Journal of the Indian Society for Probability and Statistics)
  • An analog of Bickel-Rosenblatt test for fitting an error density in the two phase linear regression model (2022, Metrika)
  • Lack-of-fit of a parametric measurement error AR(1) model (2020, Statistics & Probability Letters)

Koul frequently collaborates with several co-authors in their research projects, including:

  • Jiwoong Kim
  • Indeewara Perera
  • Pei Geng
  • N. Balakrishna
  • Fuxia Cheng

In recognition of their contributions to the field, Hira L. Koul was named Fellow of the American Statistical Association (ASA) in 2003.

Best Publications

  • Regression Analysis with Randomly Right-Censored Data

    H. Koul;V. Susarla;J. Van Ryzin

  • Large Sample Inference for Long Memory Processes

    Liudas Giraitis;Hira L. Koul;Donatas Surgailis

  • Weighted Empirical Processes in Dynamic Nonlinear Models

    Hira L. Koul

  • Nonparametric model checks for time series

    Hira L. Koul;Winfried Stute

  • Asymptotic Expansion of the Empirical Process of Long Memory Moving Averages

    Hira L. Koul;Donatas Surgailis

  • Weighted empiricals and linear models

    H. L. Koul

  • Martingale transforms goodness-of-fit tests in regression models

    Estate V. Khmaladze;Hira L. Koul

  • An Estimator of the Scale Parameter for the Rank Analysis of Linear Models under General Score Functions

    H. L. Koul;G. L. Sievers;J. Mckean

  • Asymptotic normality of regression estimators with long memory errors

    Liudas Giraitis;Hira L Koul;Donatas Surgailis

  • Efficient estimation in nonlinear autoregressive time-series models

    Hira L. Koul;Anton Schick

  • Autoregression Quantiles and Related Rank-Scores Processes

    Hira L. Koul;A. K. Md. E. Saleh

  • Weak Convergence of Randomly Weighted Dependent Residual Empiricals with Applications to Autoregression

    Hira L. Koul;Mina Ossiander

  • Asymptotic Behavior of Wilcoxon Type Confidence Regions in Multiple Linear Regression

    Hira Lal Koul

  • A test for new better than used

    Hira L. Koul

  • Asymptotics of R-, MD- and LAD-estimators in linear regression models with long range dependent errors

    Hira L. Koul;Kanchan Mukherjee

  • Minimum distance regression model checking

    Hira L. Koul;Pingping Ni

  • Fitting an Error Distribution in Some Heteroscedastic Time Series Models

    Hira L. Koul;Shiqing Ling

  • Asymptotics of some estimators and sequential residual empiricals in nonlinear time series

    Hira L. Koul

  • M-estimators in linear models with long range dependent errors

    Hira L. Koul

  • Asymptotic expansion of M-estimators with long-memory errors

    Hira L. Koul;Donatas Surgailis

Frequent Co-Authors

Donatas Surgailis
Donatas Surgailis Vilnius University
Liudas Giraitis
Liudas Giraitis Queen Mary University of London
Winfried Stute
Winfried Stute University of Giessen
Pranab Kumar Sen
Pranab Kumar Sen University of North Carolina at Chapel Hill
Lixing Zhu
Lixing Zhu Beijing Normal University
Richard T. Baillie
Richard T. Baillie King's College London
Marc G. Genton
Marc G. Genton King Abdullah University of Science and Technology
Marc Hallin
Marc Hallin Université Libre de Bruxelles
Jianqing Fan
Jianqing Fan Princeton University
Roger Koenker
Roger Koenker University College London

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