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

Jeffrey S. Simonoff

D-Index & Metrics

Computer Science

D-Index
30
Citations
8805
World Ranking
13838
National Ranking
5500

Mathematics

D-Index
33
Citations
10478
World Ranking
2974
National Ranking
1196

Research.com Recognitions

  • 1996 - Fellow of the American Statistical Association (ASA)

Overview

Jeffrey S. Simonoff is affiliated with New York University in the United States. Their research spans primarily the fields of Mathematics and Computer Science, with a notable focus on Statistics and Probability, as well as Artificial Intelligence. Additional areas of study include Sociology and Political Science, Economics and Econometrics, and Genetics.

The scientist's main research topics encompass Statistical Methods and Inference, Statistical Methods and Bayesian Inference, Bayesian Methods and Mixture Models, Advanced Statistical Methods and Models, Data Analysis with R, Bayesian Modeling and Causal Inference, and Genetic Associations and Epidemiology.

Recent papers authored or co-authored by Simonoff include the following:

  • "Ensemble methods for survival function estimation with time-varying covariates," 2022, Statistical Methods in Medical Research
  • "Using Conditional Inference Trees to (Re)Explore Nonprofit Board Composition," 2022, Nonprofit and Voluntary Sector Quarterly
  • "Dynamic estimation with random forests for discrete-time survival data," 2021, Canadian Journal of Statistics
  • "Ensemble methods for survival function estimation with time-varying covariates," 2020, arXiv (Cornell University)
  • "Joint latent class trees: A tree-based approach to modeling time-to-event and longitudinal data," 2022, Statistical Methods in Medical Research

Simonoff has collaborated frequently with several co-authors, including:

  • Samprit Chatterjee
  • Weichi Yao
  • Halina Frydman
  • Denis Larocque
  • Ningshan Zhang

The scientist has published in various venues, with repeated contributions to:

  • arXiv (Cornell University)
  • Wiley series in probability and statistics
  • Statistical Methods in Medical Research
  • Nonprofit and Voluntary Sector Quarterly
  • Canadian Journal of Statistics

Among their scholarly contributions, Simonoff is the author of a book titled Handbook of Regression Analysis With Applications in R, published by Wiley in 2020.

The scientist has been recognized as a Fellow of the American Statistical Association since 1996.

Best Publications

  • Smoothing Methods in Statistics

    Jeffrey S. Simonoff

  • Smoothing parameter selection in nonparametric regression using an improved Akaike information criterion

    Clifford M. Hurvich;Jeffrey S. Simonoff;Chih‐Ling Tsai

  • Smoothing Methods in Statistics

    Unknown

  • Procedures for the Identification of Multiple Outliers in Linear Models

    Ali S. Hadi;Jeffrey S. Simonoff

  • Tree induction vs. logistic regression: a learning-curve analysis

    Claudia Perlich;Foster Provost;Jeffrey S. Simonoff

  • Analyzing categorical data

    Jeffrey S. Simonoff

  • Handbook of Regression Analysis

    Samprit Chatterjee;Jeffrey S. Simonoff

  • RE-EM trees: a data mining approach for longitudinal and clustered data

    Rebecca J. Sela;Jeffrey S. Simonoff

  • Causes, cost consequences, and risk implications of accidents in US hazardous liquid pipeline infrastructure

    Carlos E. Restrepo;Jeffrey S. Simonoff;Rae Zimmerman

  • An Investigation of Missing Data Methods for Classification Trees Applied to Binary Response Data

    Yufeng Ding;Jeffrey S. Simonoff

  • Non-White, No More: Effect Coding as an Alternative to Dummy Coding With Implications for Higher Education Researchers

    Matthew J. Mayhew;Jeffrey S. Simonoff

  • An Introduction to the Bootstrap.@@@Computer-Intensive Statistical Methods: Validation Model Selection and Bookstrap.

    Jeffrey S. Simonoff;Bradley Efron;Robert J. Tibshirani;J. S. Urban Hjorth

  • Smoothing Methods in Statistics.

    Unknown

  • A casebook for a first course in statistics and data analysis

    Alan Agresti;S. Chatterjee;M. S. Handcock;J. S. Simonoff

  • A Penalty Function Approach to Smoothing Large Sparse Contingency Tables

    Jeffrey S. Simonoff

  • The Yale Survey: A Large-Scale Study of Book Deterioration in the Yale University Library

    Jane Greenfield;John Fox;Jeffrey S. Simonoff

  • Procedures for the Identification of Multiple Outliers in Linear Models

    Unknown

  • Alternative estimation procedures for Pr(X less than Y) in categorized data.

    Jeffrey S. Simonoff;Yosef Hochberg;Benjamin Reiser

  • Risk-management and risk-analysis-based decision tools for attacks on electric power

    Jeffrey S. Simonoff;Carlos E. Restrepo;Rae Zimmerman

  • The Sage Handbook of Multilevel Modeling

    Marc A Scott;Jeffrey S Simonoff;Brian D Marx

  • Smoothing categorical data

    Jeffrey S. Simonoff

  • Robust weighted LAD regression

    Avi Giloni;Jeffrey S. Simonoff;Bhaskar Sengupta

  • Semiparametric and Additive Model Selection Using an Improved Akaike Information Criterion

    Jeffrey S. Simonoff;Chih-Ling Tsai

  • Tree Induction Vs. Logistic Regression: a Learning-Curve Analysis

    Claudia Perlich;Foster Provost;Jeffrey S. Simonoff

  • Multivariate Density Estimation

    Jeffrey S. Simonoff

Frequent Co-Authors

Chih-Ling Tsai
Chih-Ling Tsai University of California, Davis
Clifford M. Hurvich
Clifford M. Hurvich New York University
George D. Thurston
George D. Thurston New York University
Mark S. Handcock
Mark S. Handcock University of California, Los Angeles
Niel Hens
Niel Hens Hasselt University
Glenn Heller
Glenn Heller Memorial Sloan Kettering Cancer Center
Lester B. Lave
Lester B. Lave Carnegie Mellon University
Ali S. Hadi
Ali S. Hadi American University in Cairo
William J. Baumol
William J. Baumol New York University
Foster Provost
Foster Provost New York University

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