Survival Analysis. - Nalini Ravishanker (Technometrics, 2004)

Dynamic Reliability Models for Software Using Time-Dependent Covariates. - Bonnie K. Ray; Zhaohui Liu; Nalini Ravishanker (Technometrics, 2006)

NHPP models with Markov switching for software reliability. - Nalini Ravishanker; Zhaohui Liu; Bonnie K. Ray (Comput. Stat. Data Anal., 2008)

Maximum likelihood estimation in vector long memory processes via EM algorithm. - Jeffrey Pai; Nalini Ravishanker (Comput. Stat. Data Anal., 2009)

Bispectral-based methods for clustering time series. - Jane L. Harvill; Nalini Ravishanker; Bonnie K. Ray (Comput. Stat. Data Anal., 2013)

Efficient Sequential and Parallel Algorithms for Estimating Higher Order Spectra. - Zigeng Wang; Abdullah-Al Mamun 002; Xingyu Cai; Nalini Ravishanker; Sanguthevar Rajasekaran (CIKM, 2019)

Fuzzy Value-at-Risk Forecasts Using a Novel Data-Driven Neuro Volatility Predictive Model. - Aerambamoorthy Thavaneswaran; Ruppa K. Thulasiram; Zimo Zhu; Mohammed Erfanul Hoque; Nalini Ravishanker (COMPSAC (2), 2019)

Clustering Activity-Travel Behavior Time Series using Topological Data Analysis. - Renjie Chen; Jingyue Zhang; Nalini Ravishanker; Karthik Konduri (CoRR, 2019)

Modeling financial durations using penalized estimating functions. - Yaohua Zhang; Jian Zou; Nalini Ravishanker; Aerambamoorthy Thavaneswaran (Comput. Stat. Data Anal., 2019)

Nonlinear Time Series Classification Using Bispectrum-based Deep Convolutional Neural Networks. - Paul A. Parker; Scott H. Holan; Nalini Ravishanker (CoRR, 2020)

A Custom Unsupervised Approach for Pipe-Freeze Online Anomaly Detection. - Ahmed Soliman 003; Sanguthevar Rajasekaran; Patrick Toman; Nalini Ravishanker; Nathan Lally; Hunter D'Addeo (WF-IoT, 2021)

A note on response mean confidence band for linear regression models. - Dipak K. Dey; Junfeng Liu; Nalini Ravishanker; Edwards Qiang Zhang (Commun. Stat. Simul. Comput., 2021)

Characterizations and generalizations of the negative binomial distribution. - Katiane S. Conceição; Marinho Gomes Andrade; Francisco Louzada 001; Nalini Ravishanker (Comput. Stat., 2022)

Biclustering high-frequency financial time series based on information theory. - Haitao Liu; Jian Zou; Nalini Ravishanker (Stat. Anal. Data Min., 2022)

Repeated Measures Latent Dirichlet Allocation for Longitudinal Microbiome Analysis. - Namitha Pais; Nalini Ravishanker; Sanguthevar Rajasekaran; George Weinstock (ICCABS, 2023)

Understanding Insured Behavior through Causal Impact Analysis of IoT Streams. - Patrick Toman; Ahmed Soliman 003; Nalini Ravishanker; Sanguthevar Rajasekaran; Nathan Lally; Hunter D'Addeo (ISCSIC, 2023)

Bayesian analysis of spherically parameterized dynamic multivariate stochastic volatility models. - Guanyu Hu 002; Ming-Hui Chen; Nalini Ravishanker (Comput. Stat., 2023)

Feature Construction Using Persistence Landscapes for Clustering Noisy IoT Time Series. - Renjie Chen; Nalini Ravishanker (Future Internet, 2023)

Latent Autoregressive Student-t Prior Process Models to Assess Impact of Interventions in Time Series. - Patrick Toman; Nalini Ravishanker; Nathan Lally; Sanguthevar Rajasekaran (Future Internet, 2024)

Supervised Dynamic Correlated Topic Model for Classifying Categorical Time Series. - Namitha Pais; Nalini Ravishanker; Sanguthevar Rajasekaran (Algorithms, 2024)

Online structural break detection in financial durations. - Yanzhao Wang; Yaohua Zhang; Jian Zou; Nalini Ravishanker (Stat. Comput., 2025)