Nalini Ravishanker

According to our database, Nalini Ravishanker authored at least 19 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2024

Supervised Dynamic Correlated Topic Model for Classifying Categorical Time Series.

Namitha Pais, Nalini Ravishanker, Sanguthevar Rajasekaran

Algorithms, July, 2024

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

2023

Feature Construction Using Persistence Landscapes for Clustering Noisy IoT Time Series.

Renjie Chen, Nalini Ravishanker

Future Internet, June, 2023

Bayesian analysis of spherically parameterized dynamic multivariate stochastic volatility models.

Guanyu Hu, Ming-Hui Chen, Nalini Ravishanker

Comput. Stat., June, 2023

Understanding Insured Behavior through Causal Impact Analysis of IoT Streams.

Patrick Toman, Ahmed Soliman, Nalini Ravishanker, Sanguthevar Rajasekaran, Nathan Lally, Hunter D'Addeo

Proceedings of the 7th International Symposium on Computer Science and Intelligent Control, 2023

2022

Biclustering high-frequency financial time series based on information theory.

Haitao Liu, Jian Zou, Nalini Ravishanker

Stat. Anal. Data Min., 2022

Characterizations and generalizations of the negative binomial distribution.

Katiane S. Conceição, Marinho Gomes Andrade, Francisco Louzada, Nalini Ravishanker

Comput. Stat., 2022

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

A Custom Unsupervised Approach for Pipe-Freeze Online Anomaly Detection.

Ahmed Soliman, Sanguthevar Rajasekaran, Patrick Toman, Nalini Ravishanker, Nathan Lally, Hunter D'Addeo

Proceedings of the 7th IEEE World Forum on Internet of Things, 2021

2020

Nonlinear Time Series Classification Using Bispectrum-based Deep Convolutional Neural Networks.

Paul A. Parker, Scott H. Holan, Nalini Ravishanker

CoRR, 2020

2019

Modeling financial durations using penalized estimating functions.

Yaohua Zhang, Jian Zou, Nalini Ravishanker, Aerambamoorthy Thavaneswaran

Comput. Stat. Data Anal., 2019

Clustering Activity-Travel Behavior Time Series using Topological Data Analysis.

Renjie Chen, Jingyue Zhang, Nalini Ravishanker, Karthik Konduri

CoRR, 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

Proceedings of the 43rd IEEE Annual Computer Software and Applications Conference, 2019

Efficient Sequential and Parallel Algorithms for Estimating Higher Order Spectra.

Zigeng Wang, Abdullah-Al Mamun, Xingyu Cai, Nalini Ravishanker, Sanguthevar Rajasekaran

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2013

Bispectral-based methods for clustering time series.

Jane L. Harvill, Nalini Ravishanker, Bonnie K. Ray

Comput. Stat. Data Anal., 2013

2009

Maximum likelihood estimation in vector long memory processes via EM algorithm.

Jeffrey Pai, Nalini Ravishanker

Comput. Stat. Data Anal., 2009

2008

NHPP models with Markov switching for software reliability.

Nalini Ravishanker, Zhaohui Liu, Bonnie K. Ray

Comput. Stat. Data Anal., 2008

2006

Dynamic Reliability Models for Software Using Time-Dependent Covariates.

Bonnie K. Ray, Zhaohui Liu, Nalini Ravishanker

Technometrics, 2006

2004

Survival Analysis.

Nalini Ravishanker

Technometrics, 2004