Nalini Ravishanker

23 papers A 1Journal 18Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
Online structural break detection in financial durations.
Stat. Comput.
Yanzhao Wang, Yaohua Zhang, Jian Zou, Nalini Ravishanker
2024 J jnl
Latent Autoregressive Student-t Prior Process Models to Assess Impact of Interventions in Time Series.
Future Internet
Patrick Toman, Nalini Ravishanker, Nathan Lally, Sanguthevar Rajasekaran
2024 J jnl
Subsampling Algorithms for Irregularly Spaced Autoregressive Models.
Algorithms
Jiaqi Liu, Ziyang Wang, HaiYing Wang, Nalini Ravishanker
2024 J jnl
Supervised Dynamic Correlated Topic Model for Classifying Categorical Time Series.
Algorithms
Namitha Pais, Nalini Ravishanker, Sanguthevar Rajasekaran
2023 J jnl
Bayesian analysis of spherically parameterized dynamic multivariate stochastic volatility models.
Comput. Stat.
Guanyu Hu, Ming-Hui Chen, Nalini Ravishanker
2023 J jnl
Feature Construction Using Persistence Landscapes for Clustering Noisy IoT Time Series.
Future Internet
Renjie Chen, Nalini Ravishanker
2023 — conf
Repeated Measures Latent Dirichlet Allocation for Longitudinal Microbiome Analysis.
ICCABS
Namitha Pais, Nalini Ravishanker, Sanguthevar Rajasekaran, George Weinstock
2023 — conf
Understanding Insured Behavior through Causal Impact Analysis of IoT Streams.
ISCSIC
Patrick Toman, Ahmed Soliman, Nalini Ravishanker, Sanguthevar Rajasekaran, Nathan Lally, Hunter D'Addeo
2022 J jnl
Biclustering high-frequency financial time series based on information theory.
Stat. Anal. Data Min.
Haitao Liu, Jian Zou, Nalini Ravishanker
2022 J jnl
Characterizations and generalizations of the negative binomial distribution.
Comput. Stat.
Katiane S. Conceição, Marinho Gomes Andrade, Francisco Louzada, Nalini Ravishanker
2021 — conf
A Custom Unsupervised Approach for Pipe-Freeze Online Anomaly Detection.
WF-IoT
Ahmed Soliman, Sanguthevar Rajasekaran, Patrick Toman, Nalini Ravishanker, Nathan Lally, Hunter D'Addeo
2021 J jnl
A note on response mean confidence band for linear regression models.
Commun. Stat. Simul. Comput.
Dipak K. Dey, Junfeng Liu, Nalini Ravishanker, Edwards Qiang Zhang
2020 J jnl
Nonlinear Time Series Classification Using Bispectrum-based Deep Convolutional Neural Networks.
CoRR
Paul A. Parker, Scott H. Holan, Nalini Ravishanker
2019 J jnl
Clustering Activity-Travel Behavior Time Series using Topological Data Analysis.
CoRR
Renjie Chen, Jingyue Zhang, Nalini Ravishanker, Karthik Konduri
2019 A conf
Efficient Sequential and Parallel Algorithms for Estimating Higher Order Spectra.
CIKM
Zigeng Wang, Abdullah-Al Mamun, Xingyu Cai, Nalini Ravishanker, Sanguthevar Rajasekaran
2019 — conf
Fuzzy Value-at-Risk Forecasts Using a Novel Data-Driven Neuro Volatility Predictive Model.
COMPSAC (2)
Aerambamoorthy Thavaneswaran, Ruppa K. Thulasiram, Zimo Zhu, Md. Erfanul Hoque, Nalini Ravishanker
2019 J jnl
Modeling financial durations using penalized estimating functions.
Comput. Stat. Data Anal.
Yaohua Zhang, Jian Zou, Nalini Ravishanker, Aerambamoorthy Thavaneswaran
2018 J jnl
Efficient Sequential and Parallel Algorithms for Estimating Higher Order Spectra.
CoRR
Abdullah-Al Mamun, Zigeng Wang, Xingyu Cai, Nalini Ravishanker, Sanguthevar Rajasekaran
2013 J jnl
Bispectral-based methods for clustering time series.
Comput. Stat. Data Anal.
Jane L. Harvill, Nalini Ravishanker, Bonnie K. Ray
2009 J jnl
Maximum likelihood estimation in vector long memory processes via EM algorithm.
Comput. Stat. Data Anal.
Jeffrey Pai, Nalini Ravishanker
2008 J jnl
NHPP models with Markov switching for software reliability.
Comput. Stat. Data Anal.
Nalini Ravishanker, Zhaohui Liu, Bonnie K. Ray
2006 J jnl
Dynamic Reliability Models for Software Using Time-Dependent Covariates.
Technometrics
Bonnie K. Ray, Zhaohui Liu, Nalini Ravishanker
2004 J jnl
Survival Analysis.
Technometrics
Nalini Ravishanker