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07/23/2022
An NLP-Assisted Bayesian Time Series Analysis for Prevalence of Twitter Cyberbullying During the COVID-19 Pandemic
COVID-19 has brought about many changes in social dynamics. Stay-at-home...
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05/23/2022
Capacity Bounds for the DeepONet Method of Solving Differential Equations
In recent times machine learning methods have made significant advances ...
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04/26/2022
An Empirical Study of the Occurrence of Heavy-Tails in Training a ReLU Gate
A particular direction of recent advance about stochastic deep-learning ...
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12/16/2021
A New Model-free Prediction Method: GA-NoVaS
Volatility forecasting plays an important role in the financial economet...
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01/06/2021
Boosting Model-free predictions for econometric datasets
In this paper we propose some novel non-parametric prediction methods to...
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12/15/2020
Long-term prediction intervals with many covariates
Accurate forecasting is one of the fundamental focus in the literature o...
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11/26/2020
Simultaneous inference for time-varying models
A general class of time-varying regression models is considered in this ...
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09/13/2020
Time-varying auto-regressive models for count time-series
Count-valued time series data are routinely collected in many applicatio...
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09/13/2020
Bayesian modelling of time-varying conditional heteroscedasticity
Conditional heteroscedastic (CH) models are routinely used to analyze fi...
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08/08/2020
Evaluating the Impact of COVID-19 on Cyberbullying through Bayesian Trend Analysis
COVID-19's impact has surpassed from personal and global health to our s...
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08/07/2020
Change-Point Analysis of Cyberbullying-Related Twitter Discussions During COVID-19
Due to the outbreak of COVID-19, users are increasingly turning to onlin...
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04/05/2020
Bayesian semiparametric time varying model for count data to study the spread of the COVID-19 cases
Recent outbreak of the novel corona virus COVID-19 has affected all of o...
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01/28/2020
