Note: * indicates student/post-doctoral associate co-author


Chung HC*, Gaynanova I and Ni Y (2021+). Phylogenetically informed Bayesian truncated copula graphical models for microbial association networks. arXiv stat.ME [R code]

Yuan D* and Gaynanova I (2021+). Double-matched matrix decomposition for multi-view data. arXiv stat.ME [R code]

Lapanowski A* and Gaynanova I (2021+). Compressing Large Sample Data for Discriminant Analysis arXiv stat.ML



Huang M*, Müller C and Gaynanova I (2021). latentcor: An R package for estimating latent correlations from mixed data types. Journal of Open Source Software, Vol. 6, No. 65, 3634. [Github page] [Website]

Zhang Y* and Gaynanova I (2021+). Joint association and classification analysis of multi-view data. Biometrics, accepted. [R package]

Solhjoo S, Punjabi N, Ivanescu A, Crainiceanu C, Gaynanova I, Wicken C, Buckenmaier C, and Haigney M (2021) Methadone destabilizes cardiac repolarization during sleep. Clinical Pharmacology \& Therapeutics, Vol. 110, No. 4, 1066-1074.

Risk B and Gaynanova I (2021). Simultaneous Non-Gaussian Component Analysis (SING) for Data Integration in Neuroimaging Annals of Applied Statistics, Vol. 15, No. 3, 1431-1454. [R code]

Broll S*, Urbanek J, Buchanan D*, Chun E*, Muschelli J, Punjabi N and Gaynanova I (2021).Interpreting blood glucose data with R package iglu. PLoS One, Vol. 16, No. 4, e0248560. [R package]

Yoon G*, Müller C and Gaynanova I (2021+). Fast computation of latent correlations. Journal of Computational and Graphical Statistics, accepted. [R package] [R code to reproduce simulations]

Gaynanova I, Punjabi N and Crainiceanu C (2021+). Modeling continuous glucose monitoring (CGM) data during sleep. Biostatistics, accepted. [R code]


Taylor NJ, Gaynanova I, Eschrich SA, Welsh EA, Garrett TJ, Beecher C, Sharma R, Koomen JM, Smalley KSM, Messina JL, Kanetsky PA (2020). Metabolomics of primary cutaneous melanoma and matched adjacent extratumoral microenvironment. PLoS One, Vol. 15, No.10, e0240849.

Yoon G*, Carroll R and Gaynanova I (2020). Sparse semiparametric canonical correlation analysis for data of mixed types. Biometrika, Vol. 107, No. 3, 609-625. [R package]

Gaynanova I (2020). Prediction and estimation consistency of sparse multi-class penalized optimal scoring. Bernoulli, Vol. 26, No. 1, 286-322.


Gaynanova I and Li G (2019). Structural learning and integrative decomposition of multi-view data. Biometrics, Vol. 75, No. 4, 1121-1132. [R package]

Bien J, Gaynanova I, Lederer J and Müller C (2019). Prediction Error Bounds for Linear Regression With the TREX. TEST, Vol. 28, No. 2, 451-474.

Yoon G*, Gaynanova I and Müller C (2019). Microbial networks in SPRING - Semi-parametric rank-based correlation and partial correlation estimation for quantitative microbiome data. Frontiers in Genetics, Vol. 10, 516. [R package]

Lapanowski A* and Gaynanova I (2019). Sparse feature selection in kernel discriminant analysis via optimal scoring. Artificial Intelligence and Statistics (AISTATS). [R package]

Lederer J, Lu Y and Gaynanova I (2019). Oracle inequalities for high-dimensional prediction. Bernoulli, Vol. 25, No. 2, 1225-1255.

Gaynanova I and Wang T* (2019). Sparse quadratic classification rules via linear dimension reduction. Journal of Multivariate Analysis, Vol. 169, 278-299. [R package]


Hokamp J, Leidy S, Gaynanova I, Cianciolo R and Nabity M (2018). Correlation of electrophoretic urine protein banding patterns with severity of renal damage in dogs with proteinuric chronic kidney disease. Veterinary Clinical Pathology, Vol. 47, No. 3, 425-434.

Li G and Gaynanova I (2018). A general framework for association analysis of heterogeneous data. Annals of Applied Statistics, Vol 12, No. 3, 1700-1726. [MATLAB code]

Gaynanova I, Urbanek J and Punjabi N (2018). Letter to the Editor: Corrections of equations on glycemic variability and quality of glycemic control. Diabetes Technology & Therapeutics, Vol. 20, No. 4, 317.

Bien J, Gaynanova I, Lederer J and Müller C (2018). Non-convex global minimization and false discovery rate control for the TREX. Journal of Computational and Graphical Statistics, Vol. 27, No. 1, 23-33. [MATLAB code]

2017 and older

Gaynanova I, Booth GJ and Wells TM (2017). Penalized versus constrained generalized eigenvalue problems. Journal of Computational and Graphical Statistics, Vol. 26, No. 2, 379-387.

Gaynanova I, Booth GJ and Wells TM (2016). Simultaneous sparse estimation of canonical vectors in the p»N setting. Journal of the American Statistical Association, Vol. 111, No. 514, 696-706. [R package]

Gaynanova I and Kolar M (2015). Optimal variable selection in multi-group sparse discriminant analysis. Electronic Journal of Statistics, Vol. 9, No. 2, 2007-2034.