Zobrazeno 1 - 10
of 165
pro vyhledávání: '"Sahu, Sujit K"'
Autor:
Utazi, C. Edson, Jochem, Warren C., Gacic-Dobo, Marta, Murphy, Padraic, Sahu, Sujit K., Danovaro-Holliday, Carolina M., Tatem, Andrew J.
Estimates of national immunization coverage are crucial for guiding policy and decision-making in national immunization programs and setting the global immunization agenda. WHO and UNICEF estimates of national immunization coverage (WUENIC) are produ
Externí odkaz:
http://arxiv.org/abs/2211.14919
Statistical Machine Learning (SML) refers to a body of algorithms and methods by which computers are allowed to discover important features of input data sets which are often very large in size. The very task of feature discovery from data is essenti
Externí odkaz:
http://arxiv.org/abs/1811.04788
Autor:
Sahu, Sujit K., Böhning, Dankmar
Publikováno v:
In Spatial Statistics June 2022 49
Publikováno v:
In Climate Risk Management 2022 36
Estimation of the long-term health effects of air pollution is a challenging task, especially when modelling small-area disease incidence data in an ecological study design. The challenge comes from the unobserved underlying spatial correlation struc
Externí odkaz:
http://arxiv.org/abs/1305.5445
Publikováno v:
Journal of the Royal Statistical Society. Series A (Statistics in Society), 2018 Feb 01. 181(2), 465-486.
Externí odkaz:
https://www.jstor.org/stable/44682177
Autor:
Sahu, Sujit K., Mardia, Kanti V.
Publikováno v:
Journal of the Royal Statistical Society. Series C (Applied Statistics), 2005 Jan 01. 54(1), 223-244.
Externí odkaz:
https://www.jstor.org/stable/3592609
Publikováno v:
The Canadian Journal of Statistics / La Revue Canadienne de Statistique, 2003 Jun 01. 31(2), 129-150.
Externí odkaz:
https://www.jstor.org/stable/3316064
Publikováno v:
Bernoulli, 2003 Jun 01. 9(3), 395-422.
Externí odkaz:
https://www.jstor.org/stable/3318916
Autor:
Sahu, Sujit K.
Publikováno v:
The Canadian Journal of Statistics / La Revue Canadienne de Statistique, 2003 Mar 01. 31(1), 3-22.
Externí odkaz:
https://www.jstor.org/stable/3315900