COVID-19 has brought about many changes in social dynamics. Stay-at-home...
In recent times machine learning methods have made significant advances ...
A particular direction of recent advance about stochastic deep-learning
...
Volatility forecasting plays an important role in the financial economet...
In this paper we propose some novel non-parametric prediction methods to...
Accurate forecasting is one of the fundamental focus in the literature o...
A general class of time-varying regression models is considered in this
...
Count-valued time series data are routinely collected in many applicatio...
Conditional heteroscedastic (CH) models are routinely used to analyze
fi...
COVID-19's impact has surpassed from personal and global health to our s...
Due to the outbreak of COVID-19, users are increasingly turning to onlin...
Recent outbreak of the novel corona virus COVID-19 has affected all of o...
We obtain an optimal bound for a Gaussian approximation of a large class...