Ding, Yanna, Gao, Jianxi, and Magdon-Ismail, Malik. Efficient parameter inference in networked dynamical systems via steady states: A surrogate objective function approach integrating mean-field and nonlinear least squares. Physical Review E 109.3 Web. doi:10.1103/PhysRevE.109.034301.

Ding, Yanna, Gao, Jianxi, & Magdon-Ismail, Malik. Efficient parameter inference in networked dynamical systems via steady states: A surrogate objective function approach integrating mean-field and nonlinear least squares. Physical Review E, 109 (3). https://doi.org/10.1103/PhysRevE.109.034301

Ding, Yanna, Gao, Jianxi, and Magdon-Ismail, Malik. "Efficient parameter inference in networked dynamical systems via steady states: A surrogate objective function approach integrating mean-field and nonlinear least squares". Physical Review E 109 (3). Country unknown/Code not available: American Physical Society. https://doi.org/10.1103/PhysRevE.109.034301. https://par.nsf.gov/biblio/10551215.

@article{osti_10551215,
place = {Country unknown/Code not available}, title = {Efficient parameter inference in networked dynamical systems via steady states: A surrogate objective function approach integrating mean-field and nonlinear least squares}, url = {https://par.nsf.gov/biblio/10551215}, DOI = {10.1103/PhysRevE.109.034301}, abstractNote = {Not Available}, journal = {Physical Review E}, volume = {109}, number = {3}, publisher = {American Physical Society}, author = {Ding, Yanna and Gao, Jianxi and Magdon-Ismail, Malik}, }