• Weishampel, A. ,Staicu, A.M.,  and Rand, W.(2021) Classification of social media users using a generalized functional data analysis. Under review.
• Park, S.Y., Xiao, L., Wilbur, J.D., Staicu, A.M.,  and Jumbe, N.L.(2016) Optimal design for sampling functional data. Under review.
• 2016 ICSA Student Paper Award
• 2017 ENAR Distinguished Student Paper Award
• Islam, M., Staicu, A.M.,  and van Heugten, E. (2016) Longitudinal Functional Regression with Time-varying Functional Coefficient.
• 2017 ENAR Distinguished Student Paper Award
• Gruen, M.E., Alfaro-C\’ordoba, M., Thompson, A.E., Worth, A.,Staicu*, A.M., and Lascelles, B.D. (2016) The use of functional data analysis to evaluate activity in a spontaneous model of degenerative joint disease associated pain in cats. PLOS ONE, To Appear
• Park, S.Y., Li,C., Mendoza, S.M., van Heugten, E., and Staicu, A.M. (2016) Conditional analysis for mixed covariates, with application to feed intake of lactating sows. Under review.
• Kim, J., Maity, A., and Staicu, A.M. (2016) Generalized Functional Concurrent Model. Under review
• Kang, J., Reich, B.J., and Staicu, A.M. (2016) Scalar-on-Image Regression via Soft-Thresholded Gaussian Processes. Under review.
• Li, M., Wang, K., Maity, A., and Staicu, A.-M. (2016) Inference in Functional Linear Quantile Regression. Under review.
• Park, S.Y., Staicu, A.M.,  Xiao, L., and Crainiceanu, C.M. (2017+) Simple fixed-effects inference for complex functional models. Biostatistics, to appear.
• Kim, J., Staicu, A.-M., Maity., A., Carroll, R.J., and Ruppert, D. (2017+) Additive Function-on-Function Regression.Journal  of Computational and Graphical Statistics,
• Laber, E.B. and Staicu, A.M. (2017+) Functional feature construction for individualized treatment regimes. Journal of the American Statistical Association To appear.
• Pomann G.-M., Staicu, A.-M., Lobaton, E., Mejia, A., Dewey, B., Reich, D.S., Sweeney ,E., and Shinohara, R. (2016) A lag functional linear model for prediction of magnetization transfer ratio in multiple sclerosis. Annals of Aplied Statistics, 10 2325-48.
• Gertheiss, J., Goldsmith, J., and Staicu A.-M. (2016) A note on modeling sparse exponential-family functional response curves. Computational Statistics and Data Analysis 105, 46-52.
• Kong, D., Staicu, A.M. and Maity, A. (2016) Classical testing in functional linear models. Journal of Nonparametric Statistics 28 813-838.
• Zhang, Y., Staicu, A.M., and Maity, A. (2016) Testing for additivity in nonparametric regression. The Canadian Journal of Statistics 44, 445-462.
• Wrobel, J., Park S.Y., Staicu, A.M., and Godsmith, J. (2016) Interactive graphics for functional data analyses Stat 5 108-118.
• Usset, J., Staicu, A.M., and Maity, A. (2016) Interaction models for functional regression. Computational Statistics and Data Analysis 94 317-329.
• Pomann, G.-M., Staicu, A.M., and Ghosh, S. (2015) A Two Sample Distribution-Free Test for Functional Data with Application to a Diffusion Tensor Imaging Study of Multiple Sclerosis. Journal of the Royal Statistical Society Series C 65, 395-414.
• Park, S.Y. and Staicu, A.M. (2015) Longitudinal functional data analysis. Stat 4 212-226.
• Gertheiss, J. , Maier, V., Hessel, E.F., and Staicu, A.M. (2015) Marginal functional regression models for analyzing the feeding behavior of pigs.Journal of Agricultural, Biological, and Environmental Statistics 20, 353-370.
• Usset, J., Maity, A., Staicu, A.M., and Schwartzman, A. (2015) Glacier terminus estimation from LandSat images. Journal of Agricultural, Biological, and Environmental Statistics 20, 279-298.
• Pomann, G.-M., Sweeney, E.M., Reich, D.S., Staicu*, A.M., and Shinohara*, R.T. (2015) Scan stratified case-control sampling for modeling blood-brain barrier integrity in Multiple Sclerosis. Statistics in Medicine 34, 2872-2880.
• Best Paper Award at the International Conference on Advances in Interdisciplinary Statistics and Combinatorics held at UNC Greensboro, October 2014
• Li, M., Staicu, A.M., and Bondell, H. (2015) Incorporating covariates in skewed functional data models. Biostatistics 16, 413-426.
• Zhao, N., Bell, D.A., Maity, A., Staicu, A.M., Joubert, B.R. London, S.J., Wu, M.C. (2015) Global Analysis of Methylation Profiles from High Resolution CpG Data. Genetic Epidemiology 39, 53-64.
• Ivanescu, A.E., Staicu, A.M., Scheipl, F., and Greven, S. (2015) Penalized function-on-function regression. Computational Statistics 30, 539-568.
• Staicu, A.M., Lahiri S.N, Carroll, R.J (2015) Significance tests for functional data with complex dependence structure. Journal of Statistical Planning and Inference 156, 1-13.
• Scheipl, F., Staicu, A.M., and Greven S. (2015) Functional additive mixed models, Journal  of Computational and Graphical Statistics 24, 477-501. Supplementary material.
• Staicu, A.M. and Lu, X. (2014) Analysis of AneuRisk65 Data: Classification and curve registration. Electronic Journal of Statistics, 8,1914-1919.
• Staicu, A.M., Li, Y.,  Crainiceanu C.M. and Ruppert, D. (2014) Likelihood ratio tests for dependent data with applications to longitudinal and functional data analysis. Scandinavian Journal of Statistics, 41, 932-949.  Supplementary material.
• McLean, M., Hooker, G., Staicu, A.M., Scheipl, F., and Ruppert, D. (2014) Functional generalized additive models, Journal  of Computational and Graphical Statistics, 23, 249-269.
• Serban N., Staicu, A.M., and Carroll, R.J. (2013) Multilevel cross-dependent binary longitudinal data. Biometrics 69, 903-913. Supplementary material.
• Gertheiss, J., Maity, A. and Staicu, A.M. (2013) Variable selection in generalized functional linear model, Stat, 2, 86 – 101.
• Crainiceanu, C.M., Staicu, A.M., Ray, S., Punjabi, N.M. (2012) Bootstrap-based inference on the difference in the means of two correlated functional processes, Statistics in Medicine, 31, 3223-3240.
• Crainiceanu, C.M., Staicu, A.M. (2012) Comments on “Clustering random curves under spatial interdepen-dence with application to service accessibility” by H. Jiang and N. Serban, Technometrics, 54, 120-122.
• Staicu, A.M., Crainiceanu, C.M., Reich, D.S., and Ruppert, D. (2012) Modeling functional data with spatially heterogeneous shape characteristics, Biometrics, 68, 331-343.
• Staicu, A.M. (2010) On the equivalence of the prospective and retrospective likelihood methods in case- control studies. Biometrika 97, 990-996.
• Fraser, A.M., Fraser, D.A.S. and Staicu, A.M. (2010) Second order ancillary: A differential view from continuity. Bernoulli 16, 1208-1223.
• Staicu, A.M., Crainiceanu C.M. and Carroll, R.J. (2010) Fast analysis of spatially correlated multilevel functional data. Biostatistics 11, 177-194.
• Staicu, A.M. and Fraser, D.A.S. (2010) The second order ancillary is rotation based. Journal of Statistical Planning and Inference 140, 831-836.
• Crainiceanu C.M., Staicu, A.M. and Di, C. (2009)  Generalized multilevel functional regression. Journal of the American Statistical Association 104, 1550-1561.
• Staicu, A.M. (2009) Higher order approximations for interval estimation in binomial settings. Journal of Statistical Planning and Inference 139, 3393-3404.
• Staicu, A.M. and Reid, N. (2008) On probability matching priors. The Canadian Journal of Statistics 36, 613–622.
• Staicu, A.M (2007) On Some Aspects of Likelihood Methods with Applications in Biostatistics. Ph.D. Thesis. Department of Statistics, University of Toronto, CA.
• Staicu, A.M. (2000) Perfect Graphs. BSc. Thesis. Department of Mathematics, Univerisity of Bucharest, Romania.