Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Christopher F. Aitken"'
Autor:
Yawen Xiang, Kimberly Vilmenay, Adrienne N. Poon, Shant Ayanian, Christopher F. Aitken, Kit Yee Chan
Publikováno v:
Frontiers in Neurology, Vol 12 (2021)
Background: The global burden of dementia has increasingly shifted to low- and middle-income regions that lack essential data for monitoring epidemiological progression, and policy and planning support. Drawing upon data that have emerged since the l
Externí odkaz:
https://doaj.org/article/0b6d9c43295644b3938bdb2644eb6300
Publikováno v:
Data Science for Financial Econometrics ISBN: 9783030488529
We present two new lasso estimators, the HAC-lasso and AC-lasso, that are suitable for time-series applications. The estimators are variations of the theory-based or ‘rigorous’ lasso of Bickel et al. (2009), Belloni et al. (2011), Belloni and Che
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1344ee1fb7e18a8002a51fbda7b8457c
https://doi.org/10.1007/978-3-030-48853-6_1
https://doi.org/10.1007/978-3-030-48853-6_1
Autor:
Yelena Zavalishina, Andrew C Procter, Yawen Xiang, Adrienne N. Poon, Shant Ayanian, Kit Yee Chan, Christopher F. Aitken, Igor Rudan
Publikováno v:
Poon, A N, Xiang, Y, Zavalishina, Y, Ayanian, S, Aitken, C F, Procter, A C, Rudan, I & Chan, K Y 2020, ' Systematic review estimating the burden of dementia in the WHO Southeast Asia Region using Bayesian and frequentist approaches ', Journal of Global Health, vol. 10, no. 2 . https://doi.org/10.7189/jogh.10.020701
Journal of Global Health
Journal of Global Health
Background: Rapid increase in life expectancy in low- and middle-income countries including the World Health Organization's Southeast Asia Region (SEAR) has resulted in an increase in the global burden of dementia, which is expected to become a leadi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::33e9bb2fc2875939a91b84de85fc90f1
https://hdl.handle.net/20.500.11820/853a6369-0636-4ced-8e6f-024dcd606d32
https://hdl.handle.net/20.500.11820/853a6369-0636-4ced-8e6f-024dcd606d32
Publikováno v:
Studies in Computational Intelligence ISBN: 9783030497279
We provide an introduction to the use of machine learning methods in econometrics and how these methods can be employed to assist in causal inference. We begin with an extended presentation of the lasso (least absolute shrinkage and selection operato
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6766310dbcab120112b2fd2f054a1f4f
https://doi.org/10.1007/978-3-030-49728-6_2
https://doi.org/10.1007/978-3-030-49728-6_2
Autor:
Xiang, Yawen, Vilmenay, Kimberly, Poon, Adrienne N., Ayanian, Shant, Aitken, Christopher F., Chan, Kit Yee
Publikováno v:
Frontiers in Neurology; 7/28/2021, Vol. 12, p1-9, 9p