PUBLICATIONS

Manuscripts in Progress

  • Kofi Placid Adragni. "Covariates-Contributed Sufficient Dimension Reduction of Features in the Presence of Dependent Observations".

Articles Submitted for Publication

  • Kofi Placid Adragni, Andrew M Raim, Elias Al-Najjar. "Minimum Average Deviance Estimation for Sufficient Dimension Reduction". unpublished draft on arxiv

  • Sean Martin, Andrew M. Raim, Wen Huang, Kofi P. Adragni. "ManifoldOptim: An R Package for Riemannian Manifold Optimization".

Software Packages

Peer-Reviewed Articles

  • Elias Al-Najjar, Kofi P. Adragni (2017). "Sufficient dimension reduction constrained through sub-populations", Computational Statistics & Data Analysis , Volume 111, Pages 131-144, ISSN 0167-9473

  • Kofi P. Adragni and Mingyu Xi (2016), "Pruning a sufficient dimension reduction with a p-value guided hard-thresholding." Statistics: A Journal of Theoretical and Applied Statistics 50(2), 254-270. reprint

  • Kofi P. Adragni, Elias Al-Najjar, Sean Martin and Sai Kumar Popuri (2015), “Groupwise Sufficient Dimension Reduction with Principal Fitted Components“, Journal of Computational Statistics , 1-19. reprint

  • Kofi P. Adragni, Moumita Karmakar (2015). A Sequential Test for Variable Selection in High Dimensional Complex Data, Computational Statistics & Data Analysis , Vol. 81, pp. 107–120. reprint

  • Kofi P Adragni (2014). Independent screening in high-dimensional exponential family predictors’ space, Journal of Applied Statistics , 42(2), 347-359. reprint

  • Kofi P. Adragni and Andrew M. Raim (2014). LDR: An R Software Package for Likelihood-Based Sufficient Dimension Reduction, Journal of Statistical Software, Vol. 61, (3). reprint

  • Richard E Kennedy, Kofi P Adragni, Hemant K Tiwari, Jenifer H Voeks, Thomas G Brott, and George Howard (2013). Risk-stratified imputation in survival analysis, Clinical Trials, 0: 1-10. doi: 10.1177/1740774513493150. reprint

  • Kofi P. Adragni, R. Dennis Cook and Seongho Wu (2012). GrassmannOptim: An R Package for Grassmann Manifold Optimization, Journal of Statistical Software, Vol. 50, (5), pp 1-18, http://www.jstatsoft.org/v50/i05. reprint

  • Kofi P. Adragni and R. Dennis Cook (2009). Sufficient Dimension Reduction and Prediction in Regressions, Phil. Trans. Royal Soc. A, November 13, 2009; 367(1906): 4385 - 4405. reprint

  • Kofi P. Adragni and R. Dennis Cook (2008). Discussion on the Sure Independence Screening for Ultrahigh Dimensional Feature Space of Jianqing Fan and Jinchi Lv (2007), Journal of the Royal Statistical Society Series B, 70, Part5, pp1-35. reprint

PhD Thesis

Undergraduate Research (Non-Refereed Tech Reports)

Research Experience for Undergraduates
Interdisciplinary Program in High Performance Computing
UMBC High Performance Computing Facility

  • Ephraim Alfa, Huiyi Chen, Kristen Hansen, Mathew Prindle, Sai Popuri, Nadeesri Wijekoon, Kofi Adragni (2016). Using Historical Data for Retrospective Prediction of Rainfall In the Midwest. Technical Report HPCF

  • Ely Biggs, Tessa Helble, George Jeffreys, Amit Nayak, Elias Al-Najjar, Kofi P. Adragni, and Andrew Raim (2015). Numerical evaluation of minimum average deviance estimation in ultra high dimensional Poisson regression. Technical Report HPCF.

  • Trevor V. Adriaanse, Meshach Hopkins, Rebecca Rachan, Subodh R. Selukar, Elias Al-Najjar, Kofi P. Adragni, and Nusrat Jahan (2015). Statistical analysis of a case-control Alzheimer’s disease: a retrospective approach with sufficient dimension reduction. Technical Report HPCF.

  • Nancy Hong, Emily Jasien, Christopher Pagan, Daniel Xie, Zana Coulibaly, Kofi P. Adragni, and Ian F. Thorpe (2014). Nonlinear measurers of correlation and dimensionality reduction with application to protein motion. Technical Report HPCF.

  • Matthew G. Bachmann, Ashley D. Dyas, Shelby C. Kilmer, Julian Sass, Andrew Raim, Nagaraj K. Neerchal, Kofi P. Adragni, George Ostrouchov, and Ian F. Thorpe (2013). Block cyclic distribution of data in pbdR and its effects on computational efficiency. Technical Report HPCF.

  • William J. Bailey, Claire A. Chambless, Brandynne M. Cho, Jesse D. Smith, Andrew M. Raim, Kofi P. Adragni, and Ian F. Thorpe (2013). Identifying nonlinear correlations in high dimensional data with application to protein molecular dynamics simulations. Technical Report HPCF.

  • Jeremy Bejarano, Koushiki Bose, Tyler Brannan, Anita Thomas, Kofi Adragni, Nagaraj K. Neerchal, and George Ostrouchov (2011). Sampling within k-means algorithm to cluster large datasets. Technical Report HPCF.




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This page was last modified on July 25, 2017