
Kevin Ryan
· Professor of LinguisticsHarvard University · Linguistics
Active 1953–2025
Academic metrics are sourced from OpenAlex and public funding records; values may differ from Google Scholar.
About
Kevin M. Ryan is a phonologist focusing on the prosodic systems of words and phrases, with additional interests in phonology's roles in morphology, word order, and verbal arts. His research on weight demonstrates ways in which weight across phonological systems is gradient and richly informed, and his work on generative metrics investigates the theory and typology of poetic meters.
Research topics
- Medicine
- Medical emergency
- Waste management
- Environmental health
- Materials science
- Composite material
- Immunology
- Internal medicine
- Forensic engineering
- Combinatorics
Selected publications
Sequential Bayesian assurance tests for degradation data
Figshare · 2023-01-01
datasetOpen access1st authorCorrespondingMeasuring degradation of items in a reliability context may be all that is feasible. There may simply be neither enough time nor resources to produce a sufficient number of item failures to characterize the underlying time-until-failure distribution. In such contexts, degradation data-based assurance testing can be tuned to strike a compromise between consumer and producer risk when deciding whether to accept or reject a product. A one-stage assurance test counts the number of items in a sample…
Analysis of overlapping count data
Figshare · 2022-01-01
datasetOpen access1st authorCorrespondingCounts of a specific characteristic were obtained within regions defined on an object that was manufactured in a proprietary setting. The count regions were altered during production and resulted in misaligned or overlapping count data. A closed-formula maximum likelihood estimator (MLE) of the new region means is derived using all of the available count data and an independent Poisson model. The MLE is shown to be preferable to estimators constructed using generalized linear models for the over…
SUPP MATERIAL: Analysis of Repeatability and Reproducibility Studies With Ordinal Measurements
Technometrics · 2018-12-04
articleSupplemental material for Analysis of Repeatability and Reproducibility Studies With Ordinal Measurements...
On Data Integration Problems With Manifolds
Figshare · 2018-01-01
datasetOpen accessThis article focuses on data integration problems where the predictor variables for some response variable partition into known subsets. This type of data is often referred to as multi-view data, and each subset of the predictors is called a data view. Accounting for data views can add practical value in terms of both interpretation and predictive performance. Many existing approaches for multi-view data rely on view-agreement principles, strong smoothness assumptions, or regularization penaltie…
Analysis of Repeatability and Reproducibility Studies With Ordinal Measurements
Figshare · 2018-01-01
datasetOpen accessA Bayesian inferential approach with a noninformative prior is introduced to analyze ordinal repeatability and reproducibility (R&R) data using the De Mast–Van Wieringen model. This approach is extended with a weakly informative prior and random effects to allow for the consideration of a population of raters and prediction of a new rater. This random-effects approach is also shown to result in partial pooling of estimates across raters. In addition, match-probability-based measures to decom…
Recent grants
NIH · $859k · 1990
Frequent coauthors
- 105 shared
Robert L. Barbieri
- 102 shared
Dan Tulchinsky
- 100 shared
Anastasia Makris
National and Kapodistrian University of Athens
- 66 shared
Frederick Naftolin
- 50 shared
Isaac Schiff
North American Menopause Society
- 48 shared
Rapin Osathanondh
Harvard University
- 43 shared
Zoltan Petro
University of California, San Diego
- 40 shared
Richard R. Monson
Labs
Education
B.A.
UC Berkeley
- 2011
Ph.D.
UCLA
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