Das, Kunal, Yu, Shan, Wang, Guannan, and Wang, Li. Nonparametric density estimation for scattered spatial data on irregular domains: a likelihood-based approach using bivariate penalised spline smoothing. Retrieved from https://par.nsf.gov/biblio/10608232. Journal of Nonparametric Statistics . Web. doi:10.1080/10485252.2025.2497541.

Das, Kunal, Yu, Shan, Wang, Guannan, & Wang, Li. Nonparametric density estimation for scattered spatial data on irregular domains: a likelihood-based approach using bivariate penalised spline smoothing. Journal of Nonparametric Statistics, (). Retrieved from https://par.nsf.gov/biblio/10608232. https://doi.org/10.1080/10485252.2025.2497541

Das, Kunal, Yu, Shan, Wang, Guannan, and Wang, Li. "Nonparametric density estimation for scattered spatial data on irregular domains: a likelihood-based approach using bivariate penalised spline smoothing". Journal of Nonparametric Statistics (). Country unknown/Code not available: Taylor & Francis. https://doi.org/10.1080/10485252.2025.2497541. https://par.nsf.gov/biblio/10608232.

@article{osti_10608232,
place = {Country unknown/Code not available}, title = {Nonparametric density estimation for scattered spatial data on irregular domains: a likelihood-based approach using bivariate penalised spline smoothing}, url = {https://par.nsf.gov/biblio/10608232}, DOI = {10.1080/10485252.2025.2497541}, abstractNote = {}, journal = {Journal of Nonparametric Statistics}, publisher = {Taylor & Francis}, author = {Das, Kunal and Yu, Shan and Wang, Guannan and Wang, Li}, }