Change-point analysis of cyberbullying-related twitter discussions during covid-19

S Das, A Kim, S Karmakar - arXiv preprint arXiv:2008.13613, 2020 - arxiv.org
Due to the outbreak of COVID-19, users are increasingly turning to online services. An
increase in social media usage has also been observed, leading to the suspicion that this …

Evaluating the impact of covid-19 on cyberbullying through bayesian trend analysis

S Karmakar, S Das - Proceedings of the 2020 European Interdisciplinary …, 2020 - dl.acm.org
COVID-19's impact has surpassed from personal and global health to our social life. In terms
of digital presence, it is speculated that during pandemic, there has been a significant rise in …

Simultaneous inference for time-varying models

S Karmakar, S Richter, WB Wu - Journal of Econometrics, 2022 - Elsevier
A general class of non-stationary time series is considered in this paper. We estimate the
time-varying coefficients by using local linear M-estimation. For these estimators, weak …

Bayesian modelling of time-varying conditional heteroscedasticity

S Karmakar, A Roy - Bayesian Analysis, 2021 - projecteuclid.org
Bayesian Modelling of Time-Varying Conditional Heteroscedasticity Page 1 Bayesian
Analysis (2021) 16, Number 4, pp. 1157–1185 Bayesian Modelling of Time-Varying …

Time-varying auto-regressive models for count time-series

A Roy, S Karmakar - Electronic Journal of Statistics, 2021 - projecteuclid.org
Count-valued time series data are routinely collected in many application areas. We are
particularly motivated to study the count time series of daily new cases, arising from the …

Analyzing initial stage of COVID-19 transmission through Bayesian time-varying model

A Roy, S Karmakar - arXiv preprint arXiv:2004.02281, 2020 - arxiv.org
Recent outbreak of the novel coronavirus COVID-19 has affected all of our lives in one way
or the other. While medical researchers are working hard to find a cure and doctors/nurses …