31 Nonparametric methods in directional data analysis. - S. Rao Jammalamadaka (Nonparametric Methods, 1984)

Generalized mixture models, semi-supervised learning, and unknown class inference. - Samuel J. Frame; Sreenivasa Rao Jammalamadaka (Adv. Data Anal. Classif., 2007)

Towards Reliable Reputations for Dynamic Networked Systems. - Gayatri Swamynathan; Ben Y. Zhao; Kevin C. Almeroth; S. Rao Jammalamadaka (SRDS, 2008)

Multivariate Bayesian Structural Time Series Model. - Jinwen Qiu; S. Rao Jammalamadaka; Ning Ning 003 (J. Mach. Learn. Res., 2018)

Semi-parametric estimation of the autoregressive parameter in non-Gaussian Ornstein-Uhlenbeck processes. - S. Rao Jammalamadaka; Emanuele Taufer (Commun. Stat. Simul. Comput., 2019)

Harmonic analysis and distribution-free inference for spherical distributions. - S. Rao Jammalamadaka; György H. Terdik (J. Multivar. Anal., 2019)

Multivariate time series analysis from a Bayesian machine learning perspective. - Jinwen Qiu; S. Rao Jammalamadaka; Ning Ning 003 (Ann. Math. Artif. Intell., 2020)

Cumulants of Multivariate Symmetric and Skew Symmetric Distributions. - Sreenivasa Rao Jammalamadaka; Emanuele Taufer; György H. Terdik (Symmetry, 2021)