Michael Levine
Mathematics · Purdue University West Lafayette
Publications
117
Citations
956
Est. group size
—
Recurring co-author estimate
Active years
39
Publishing since 1987
Michael Levine works in statistics, focusing on semiparametric and nonparametric methods for analyzing data with complex structure, such as mixture models, time-varying trends, and dependent errors. His work develops mathematical techniques for estimation and inference in situations where the underlying data patterns are not fully known in advance, with applications spanning pharmaceutical statistics, medical imaging, and marine science measurement.
Publication output peaked around 2019 with several papers per year but has slowed over the past five years to roughly one to three publications annually.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Rates of Convergence of Maximum Smoothed Log-Likelihood Estimators for Semi-Parametric Multivariate Mixtures
arXiv (Cornell University) · 2025
- Autocovariance function estimation via difference schemes for a semiparametric change point model with m$$ m $$‐dependent errors
Australian & New Zealand Journal of Statistics · 2025
- A smoothed semiparametric likelihood for estimation of nonparametric finite mixture models with a copula-based dependence structure
Computational Statistics · 2024
- A smoothed semiparametric likelihood for estimation of nonparametric finite mixture models with a copula-based dependence structure
arXiv (Cornell University) · 2022
- Estimation and inference of time-varying auto-covariance under complex trend: A difference-based approach
Electronic Journal of Statistics · 2021
- Estimation and Inference of Time-Varying Auto-Covariance under Complex Trend: A Difference-based Approach
arXiv (Cornell University) · 2020
- Estimation of group means in generalized linear mixed models
Pharmaceutical Statistics · 2020
- Evaluating Children with Fractures for Child Physical Abuse
American Academy of Pediatrics eBooks · 2020
- ACF estimation via difference schemes for a semiparametric model with\n m-dependent errors
arXiv (Cornell University) · 2019
- Estimation of group means in generalized linear mixed models
arXiv (Cornell University) · 2019
- ACF estimation via difference schemes for a semiparametric model with m-dependent errors
arXiv (Cornell University) · 2019
- Minimax optimal estimation in partially linear additive models under high dimension
Bernoulli · 2019
- Amplifier linearity accounts for discrepancies in echo-integration measurements from two widely used echosounders
ICES Journal of Marine Science · 2019
- An MM algorithm for estimation of a two component semiparametric density mixture with a known component
Author eBooks · 2018
- Robust functional estimation in the multivariate partial linear model
Annals of the Institute of Statistical Mathematics · 2018
- arXiv (Cornell University)×12
- Electronic Journal of Statistics×2
- American Academy of Pediatrics eBooks×1
- Physics in Medicine and Biology×1
- ICES Journal of Marine Science×1
- Anirban Dasgupta
Mathematics · Purdue University West Lafayette
- Steven N. MacEachern
Mathematics · The Ohio State University
- Jayanta K. Ghosh
Mathematics · Purdue University West Lafayette
- Chong Gu
Mathematics · Purdue University West Lafayette
- Xinyi Xu
Mathematics · The Ohio State University
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
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