Efficient Implementation of Bayesian Hierarchical Model to Study Space Time Variability of Latent Heat Flux

Manoj Kumar Singh, Parvatham Venkatachalam. Efficient Implementation of Bayesian Hierarchical Model to Study Space Time Variability of Latent Heat Flux. In Beniamino Murgante, Sanjay Misra, Maurizio Carlini, Carmelo Mario Torre, Hong-Quang Nguyen, David Taniar, Bernady O. Apduhan, Osvaldo Gervasi, editors, Computational Science and Its Applications - ICCSA 2013 - 13th International Conference, Ho Chi Minh City, Vietnam, June 24-27, 2013, Proceedings, Part IV. Volume 7974 of Lecture Notes in Computer Science, pages 33-44, Springer, 2013. [doi]

@inproceedings{SinghV13-0,
  title = {Efficient Implementation of Bayesian Hierarchical Model to Study Space Time Variability of Latent Heat Flux},
  author = {Manoj Kumar Singh and Parvatham Venkatachalam},
  year = {2013},
  doi = {10.1007/978-3-642-39649-6_3},
  url = {http://dx.doi.org/10.1007/978-3-642-39649-6_3},
  researchr = {https://researchr.org/publication/SinghV13-0},
  cites = {0},
  citedby = {0},
  pages = {33-44},
  booktitle = {Computational Science and Its Applications - ICCSA 2013 - 13th International Conference, Ho Chi Minh City, Vietnam, June 24-27, 2013, Proceedings, Part IV},
  editor = {Beniamino Murgante and Sanjay Misra and Maurizio Carlini and Carmelo Mario Torre and Hong-Quang Nguyen and David Taniar and Bernady O. Apduhan and Osvaldo Gervasi},
  volume = {7974},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-642-39648-9},
}