Publicações

Gamerman, Dani, Marcos O Prates, Thais Paiva, & Vinicius D Mayrink. 2021. Building a Platform for Data-Driven Pandemic Prediction: From Data Modelling to Visualisation – the CovidLP Project. CRC Press. https://www.routledge.com/9780367709976.

Paiva, Thais, & Jerome P. Reiter. 2017. “Stop or Continue Data Collection: A Nonignorable Missing Data Approach for Continuous Variables.” Journal of Official Statistics 33 (3): 579–99. https://doi.org/10.1515/jos-2017-0028.

Paiva, Thais, Renato Assunção, & Taynãna Simões. 2015. “Prospective Space–Time Surveillance with Cumulative Surfaces for Geographical Identification of the Emerging Cluster.” Computational Statistics 30 (2): 419–40. https://doi.org/10.1007/s00180-014-0541-y.

Feldblum, Joseph T., Emily E. Wroblewski, Rebecca S. Rudicell, Beatrice H. Hahn, Thais Paiva, Mine Cetinkaya-Rundel, Anne E. Pusey, & Ian C. Gilby. 2014. “Sexually Coercive Male Chimpanzees Sire More Offspring.” Current Biology 24 (23): 2855–60. https://doi.org/http://dx.doi.org/10.1016/j.cub.2014.10.039.

Paiva, Thais, Avishek Chakraborty, Jerry Reiter, & Alan Gelfand. 2014. “Imputation of Confidential Data Sets with Spatial Locations Using Disease Mapping Models.” Statistics in Medicine 33 (11): 1928–45. https://doi.org/10.1002/sim.6078.

Piroutek, Aline, Renato Assunção, & Thais Paiva. 2014. “Space–Time Prospective Surveillance Based on Knox Local Statistics.” Statistics in Medicine 33 (16): 2758–73. https://doi.org/10.1002/sim.6118.