Nalini Ravishanker

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 15

Top Topics

Feature Construction

Financial Time Series

Convolutional Neural Networks

Linear Regression Models

Top Venues

Future Internet

Stat. Anal. Data Min.

Publications

Namitha Pais, Nalini Ravishanker, Sanguthevar Rajasekaran
Supervised Dynamic Correlated Topic Model for Classifying Categorical Time Series. Algorithms 17 (7) (2024)
Patrick Toman, Nalini Ravishanker, Nathan Lally, Sanguthevar Rajasekaran
Latent Autoregressive Student-t Prior Process Models to Assess Impact of Interventions in Time Series. Future Internet 16 (1) (2024)
Guanyu Hu, Ming-Hui Chen, Nalini Ravishanker
Bayesian analysis of spherically parameterized dynamic multivariate stochastic volatility models. Comput. Stat. 38 (2) (2023)
Patrick Toman, Ahmed Soliman, Nalini Ravishanker, Sanguthevar Rajasekaran, Nathan Lally, Hunter D'Addeo
Understanding Insured Behavior through Causal Impact Analysis of IoT Streams. ISCSIC (2023)
Renjie Chen, Nalini Ravishanker
Feature Construction Using Persistence Landscapes for Clustering Noisy IoT Time Series. Future Internet 15 (6) (2023)
Katiane S. Conceição, Marinho G. Andrade, Francisco Louzada, Nalini Ravishanker
Characterizations and generalizations of the negative binomial distribution. Comput. Stat. 37 (3) (2022)
Haitao Liu, Jian Zou, Nalini Ravishanker
Biclustering high-frequency financial time series based on information theory. Stat. Anal. Data Min. 15 (4) (2022)
Dipak K. Dey, Junfeng Liu, Nalini Ravishanker, Edwards Qiang Zhang
A note on response mean confidence band for linear regression models. Commun. Stat. Simul. Comput. 50 (3) (2021)
Ahmed Soliman, Sanguthevar Rajasekaran, Patrick Toman, Nalini Ravishanker, Nathan Lally, Hunter D'Addeo
A Custom Unsupervised Approach for Pipe-Freeze Online Anomaly Detection. WF-IoT (2021)
Paul A. Parker, Scott H. Holan, Nalini Ravishanker
Nonlinear Time Series Classification Using Bispectrum-based Deep Convolutional Neural Networks. CoRR (2020)
Yaohua Zhang, Jian Zou, Nalini Ravishanker, Aerambamoorthy Thavaneswaran
Modeling financial durations using penalized estimating functions. Comput. Stat. Data Anal. 131 (2019)
Renjie Chen, Jingyue Zhang, Nalini Ravishanker, Karthik Konduri
Clustering Activity-Travel Behavior Time Series using Topological Data Analysis. CoRR (2019)
Zigeng Wang, Abdullah-Al Mamun, Xingyu Cai, Nalini Ravishanker, Sanguthevar Rajasekaran
Efficient Sequential and Parallel Algorithms for Estimating Higher Order Spectra. CIKM (2019)
Aerambamoorthy Thavaneswaran, Ruppa K. Thulasiram, Zimo Zhu, Mohammed Erfanul Hoque, Nalini Ravishanker
Fuzzy Value-at-Risk Forecasts Using a Novel Data-Driven Neuro Volatility Predictive Model. COMPSAC (2) (2019)
Abdullah-Al Mamun, Zigeng Wang, Xingyu Cai, Nalini Ravishanker, Sanguthevar Rajasekaran
Efficient Sequential and Parallel Algorithms for Estimating Higher Order Spectra. CoRR (2018)
Jane L. Harvill, Nalini Ravishanker, Bonnie K. Ray
Bispectral-based methods for clustering time series. Comput. Stat. Data Anal. 64 (2013)
Jeffrey Pai, Nalini Ravishanker
Maximum likelihood estimation in vector long memory processes via EM algorithm. Comput. Stat. Data Anal. 53 (12) (2009)
Nalini Ravishanker, Zhaohui Liu, Bonnie K. Ray
NHPP models with Markov switching for software reliability. Comput. Stat. Data Anal. 52 (8) (2008)
Bonnie K. Ray, Zhaohui Liu, Nalini Ravishanker
Dynamic Reliability Models for Software Using Time-Dependent Covariates. Technometrics 48 (1) (2006)
Nalini Ravishanker
Survival Analysis. Technometrics 46 (1) (2004)