Nalini Ravishanker

According to our database1, Nalini Ravishanker authored at least 19 papers between 2004 and 2024.

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Bibliography

2024
Supervised Dynamic Correlated Topic Model for Classifying Categorical Time Series.
Algorithms, July, 2024

Latent Autoregressive Student-t Prior Process Models to Assess Impact of Interventions in Time Series.
Future Internet, 2024

2023
Feature Construction Using Persistence Landscapes for Clustering Noisy IoT Time Series.
Future Internet, June, 2023

Bayesian analysis of spherically parameterized dynamic multivariate stochastic volatility models.
Comput. Stat., June, 2023

Understanding Insured Behavior through Causal Impact Analysis of IoT Streams.
Proceedings of the 7th International Symposium on Computer Science and Intelligent Control, 2023

2022
Biclustering high-frequency financial time series based on information theory.
Stat. Anal. Data Min., 2022

Characterizations and generalizations of the negative binomial distribution.
Comput. Stat., 2022

2021
A note on response mean confidence band for linear regression models.
Commun. Stat. Simul. Comput., 2021

A Custom Unsupervised Approach for Pipe-Freeze Online Anomaly Detection.
Proceedings of the 7th IEEE World Forum on Internet of Things, 2021

2020
Nonlinear Time Series Classification Using Bispectrum-based Deep Convolutional Neural Networks.
CoRR, 2020

2019
Modeling financial durations using penalized estimating functions.
Comput. Stat. Data Anal., 2019

Clustering Activity-Travel Behavior Time Series using Topological Data Analysis.
CoRR, 2019

Fuzzy Value-at-Risk Forecasts Using a Novel Data-Driven Neuro Volatility Predictive Model.
Proceedings of the 43rd IEEE Annual Computer Software and Applications Conference, 2019

Efficient Sequential and Parallel Algorithms for Estimating Higher Order Spectra.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2013
Bispectral-based methods for clustering time series.
Comput. Stat. Data Anal., 2013

2009
Maximum likelihood estimation in vector long memory processes via EM algorithm.
Comput. Stat. Data Anal., 2009

2008
NHPP models with Markov switching for software reliability.
Comput. Stat. Data Anal., 2008

2006
Dynamic Reliability Models for Software Using Time-Dependent Covariates.
Technometrics, 2006

2004
Survival Analysis.
Technometrics, 2004


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