World's Best Scientists 2026 revealed!
Jeffrey S. Racine

Jeffrey S. Racine

D-Index & Metrics

Mathematics

D-Index
41
Citations
12315
World Ranking
1860
National Ranking
66

Overview

Jeffrey S. Racine is affiliated with McMaster University in Canada. Their research spans multiple domains within mathematics and computer science, focusing primarily on statistical methods and inference.

The scientist has contributed to various fields of study including:

  • Mathematics
  • Computer Science

Notable subfields of their work include:

  • Statistics and Probability
  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Economics and Econometrics
  • Management Science and Operations Research

Central topics addressed in their research are:

  • Statistical Methods and Inference
  • Statistical Methods and Bayesian Inference
  • Advanced Statistical Methods and Models
  • Bayesian Methods and Mixture Models
  • Fiscal Policy and Economic Growth
  • Spatial and Panel Data Analysis
  • Efficiency Analysis Using DEA

Jeffrey S. Racine's recent publications illustrate varied contributions to statistical methodology and econometrics. Key papers include:

  • Optimal Model Averaging of Mixed-Data Kernel-Weighted Spline Regressions, 2022, Journal of Business and Economic Statistics
  • Kernel smoothed probability mass functions for ordered datatypes, 2020, Journal of nonparametric statistics
  • Nonparametric estimation of marginal effects in regression-spline random effects models, 2020, Econometric Reviews
  • Boundary-adaptive kernel density estimation: the case of (near) uniform density, 2023, Journal of nonparametric statistics
  • A Smooth Nonparametric, Multivariate, Mixed-Data Location-Scale Test, 2020, RePEc: Research Papers in Economics

Their frequent publishing venues reflect a focus on econometrics and nonparametric statistics:

  • Journal of nonparametric statistics
  • Econometric Reviews
  • RePEc: Research Papers in Economics
  • Journal of Business and Economic Statistics
  • Statistica Sinica

Collaboration features prominently in Racine's research, with multiple coauthors appearing regularly. Frequent collaborators include:

  • Qi Li
  • Karen X. Yan
  • Qiaoyu Wang
  • Pang Du
  • Christopher F. Parmeter

Best Publications

  • Nonparametric Econometrics : Theory and Practice

    Qi Li;Jeffrey Scott Racine

  • Nonparametric Econometrics: The np Package

    Tristen Hayfield;Jeffrey S. Racine

  • Nonparametric estimation of regression functions with both categorical and continuous data

    Jeff Racine;Qi Li

  • Cross-validation and the estimation of conditional probability densities

    Peter Hall;Jeff Racine;Qi Li

  • RStudio: A Platform-Independent IDE for R and Sweave

    Jeffrey S. Racine

  • Jackknife model averaging

    Bruce E. Hansen;Jeffrey S. Racine

  • CROSS-VALIDATED LOCAL LINEAR NONPARAMETRIC REGRESSION

    Qi Li;Jeff Racine

  • Entropy and predictability of stock market returns

    Esfandiar Maasoumi;Jeff Racine

  • A Dependence Metric for Possibly Nonlinear Processes

    C. W. Granger;E. Maasoumi;J. Racine

  • Nonparametric Estimation of Conditional CDF and Quantile Functions With Mixed Categorical and Continuous Data

    Qi Li;Jeffrey S Racine

  • Nonparametric estimation of distributions with categorical and continuous data

    Qi Li;Jeff Racine

  • Consistent cross-validatory model-selection for dependent data: hv-block cross-validation

    Jeff Racine

  • A consistent model specification test with mixed discrete and continuous data

    Cheng Hsiao;Cheng Hsiao;Qi Li;Jeffrey S. Racine

  • Nonparametric Estimation of Regression Functions in the Presence of Irrelevant Regressors

    Peter Hall;Qi Li;Jeffrey S. Racine

  • Consistent Significance Testing for Nonparametric Regression

    Jeff Racine

  • Growth and convergence : A profile of distribution dynamics and mobility

    Esfandiar Maasoumi;Jeff Racine;Thanasis Stengos

  • A nonparametric test for equality of distributions with mixed categorical and continuous data

    Qi Li;Qi Li;Esfandiar Maasoumi;Jeffrey S. Racine

  • gnuplot 4.0: a portable interactive plotting utility

    Jeff Racine

  • Nonparametric Econometrics: A Primer

    Jeffrey Scott Racine

  • Semiparametric ARX neural-network models with an application to forecasting inflation

    Xiaohong Chen;J. Racine;N.R. Swanson

  • A Consistent Model Specification Test with Mixed Discrete and Continuous Data

    Cheng Hsiao;Cheng Hsiao;Cheng Hsiao;Jeffrey Racine;Qi Li

Frequent Co-Authors

Esfandiar Maasoumi
Esfandiar Maasoumi Emory University
Aman Ullah
Aman Ullah University of California, Riverside
Cheng Hsiao
Cheng Hsiao University of Southern California
Nicholas M. Kiefer
Nicholas M. Kiefer Cornell University
Clive W. J. Granger
Clive W. J. Granger University of California, San Diego
Iain Fraser
Iain Fraser University of Kent
Thanasis Stengos
Thanasis Stengos University of Guelph
Halbert White
Halbert White University of California, San Diego
Liangjun Su
Liangjun Su Tsinghua University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Studying Mathematics in the USA opens doors to a variety of online degree options that complement and expand career opportunities. For those interested in harnessing big data, pursuing data analytics masters programs can provide essential skills in statistical analysis and data interpretation, which are highly valued across industries.

For mathematics graduates looking to combine technical expertise with business acumen, exploring an easiest mba programs to get into offers a manageable pathway to leadership roles without compromising educational quality. Additionally, many students prefer the flexibility of easy online mba programs, which allow them to balance studies with professional commitments while advancing their careers.

For experienced professionals aiming to further develop their strategic insights, the best 1 year dba program online represents an accelerated route to doctoral-level expertise, blending rigorous research with practical business applications. These related online programs demonstrate the versatility of a mathematics background in both technical and managerial fields.

Best Scientists Citing Jeffrey S. Racine

Trending Scientists