Dubey, P., Chen, Y., Gajardo, A., Bhattacharjee, S., Carroll, C., Zhou, Y., Chen, H., and Müller, H.G. Learning delay dynamics for multivariate stochastic processes, with application to the prediction of the growth rate of COVID-19 cases in the United States. Retrieved from https://par.nsf.gov/biblio/10324510. Journal of Mathematical Analysis . Web. doi:https://doi.org/10.106/j.jmaa.2021.125677.

Dubey, P., Chen, Y., Gajardo, A., Bhattacharjee, S., Carroll, C., Zhou, Y., Chen, H., & Müller, H.G. Learning delay dynamics for multivariate stochastic processes, with application to the prediction of the growth rate of COVID-19 cases in the United States. Journal of Mathematical Analysis, (). Retrieved from https://par.nsf.gov/biblio/10324510. https://doi.org/https://doi.org/10.106/j.jmaa.2021.125677

Dubey, P., Chen, Y., Gajardo, A., Bhattacharjee, S., Carroll, C., Zhou, Y., Chen, H., and Müller, H.G. "Learning delay dynamics for multivariate stochastic processes, with application to the prediction of the growth rate of COVID-19 cases in the United States". Journal of Mathematical Analysis (). Country unknown/Code not available. https://doi.org/https://doi.org/10.106/j.jmaa.2021.125677. https://par.nsf.gov/biblio/10324510.

@article{osti_10324510,
place = {Country unknown/Code not available}, title = {Learning delay dynamics for multivariate stochastic processes, with application to the prediction of the growth rate of COVID-19 cases in the United States}, url = {https://par.nsf.gov/biblio/10324510}, DOI = {https://doi.org/10.106/j.jmaa.2021.125677}, abstractNote = {}, journal = {Journal of Mathematical Analysis}, author = {Dubey, P. and Chen, Y. and Gajardo, A. and Bhattacharjee, S. and Carroll, C. and Zhou, Y. and Chen, H. and Müller, H.G.}, }