APA (7th ed.) Citation

Smirnova, A., Chowell-Puente, G., deCamp, L., Moghadas, S., & Jameson Sheppard, M. (2017). Improving epidemic size prediction through stable reconstruction of disease parameters by reduced iteratively regularized Gauss–Newton algorithm. Journal of Inverse & Ill-Posed Problems, 25(5), 653. https://doi.org/10.1515/jiip-2016-0053

Chicago Style (17th ed.) Citation

Smirnova, Alexandra, Gerardo Chowell-Puente, Linda deCamp, Seyed Moghadas, and Michael Jameson Sheppard. "Improving Epidemic Size Prediction Through Stable Reconstruction of Disease Parameters by Reduced Iteratively Regularized Gauss–Newton Algorithm." Journal of Inverse & Ill-Posed Problems 25, no. 5 (2017): 653. https://doi.org/10.1515/jiip-2016-0053.

MLA (9th ed.) Citation

Smirnova, Alexandra, et al. "Improving Epidemic Size Prediction Through Stable Reconstruction of Disease Parameters by Reduced Iteratively Regularized Gauss–Newton Algorithm." Journal of Inverse & Ill-Posed Problems, vol. 25, no. 5, 2017, p. 653, https://doi.org/10.1515/jiip-2016-0053.