Liang, Zhongyao, Liu, Yong, Xu, Yaoyang, and Wagner, Tyler. Bayesian change point quantile regression approach to enhance the understanding of shifting phytoplankton-dimethyl sulfide relationships in aquatic ecosystems. Retrieved from https://par.nsf.gov/biblio/10296847. Water Research 201.C Web. doi:10.1016/j.watres.2021.117287.

Liang, Zhongyao, Liu, Yong, Xu, Yaoyang, & Wagner, Tyler. Bayesian change point quantile regression approach to enhance the understanding of shifting phytoplankton-dimethyl sulfide relationships in aquatic ecosystems. Water Research, 201 (C). Retrieved from https://par.nsf.gov/biblio/10296847. https://doi.org/10.1016/j.watres.2021.117287

Liang, Zhongyao, Liu, Yong, Xu, Yaoyang, and Wagner, Tyler. "Bayesian change point quantile regression approach to enhance the understanding of shifting phytoplankton-dimethyl sulfide relationships in aquatic ecosystems". Water Research 201 (C). Country unknown/Code not available. https://doi.org/10.1016/j.watres.2021.117287. https://par.nsf.gov/biblio/10296847.

@article{osti_10296847,
place = {Country unknown/Code not available}, title = {Bayesian change point quantile regression approach to enhance the understanding of shifting phytoplankton-dimethyl sulfide relationships in aquatic ecosystems}, url = {https://par.nsf.gov/biblio/10296847}, DOI = {10.1016/j.watres.2021.117287}, abstractNote = {}, journal = {Water Research}, volume = {201}, number = {C}, author = {Liang, Zhongyao and Liu, Yong and Xu, Yaoyang and Wagner, Tyler}, editor = {null} }