Zobrazeno 1 - 10
of 33 613
pro vyhledávání: '"Wakefield, A"'
Accurate and precise estimates of under-5 mortality rates (U5MR) are an important health summary for countries. Full survival curves are additionally of interest to better understand the pattern of mortality in children under 5. Modern demographic me
Externí odkaz:
http://arxiv.org/abs/2310.11357
Publikováno v:
Appl. Phys. Lett. 124, 201103 (2024)
Over the past decade classical optical systems with gain or loss, modelled by non-Hermitian parity-time symmetric Hamiltonians, have been deeply investigated. Yet, their applicability to the quantum domain with number-resolved photonic states is fund
Externí odkaz:
http://arxiv.org/abs/2310.04523
Autor:
Jiang, Alex Ziyu, Wakefield, Jon
Prediction is a classic challenge in spatial statistics and the inclusion of spatial covariates can greatly improve predictive performance when incorporated into a model with latent spatial effects. It is desirable to develop flexible regression mode
Externí odkaz:
http://arxiv.org/abs/2309.13270
Autor:
Gao, Peter A., Wakefield, Jon
When mapping subnational health and demographic indicators, direct weighted estimators of small area means based on household survey data can be unreliable when data are limited. If survey microdata are available, unit level models can relate individ
Externí odkaz:
http://arxiv.org/abs/2309.12119
Producing subnational estimates of the under-five mortality rate (U5MR) is a vital goal for the United Nations to reduce inequalities in mortality and well-being across the globe. There is a great disparity in U5MR between high-income and Low-and-Mid
Externí odkaz:
http://arxiv.org/abs/2309.02093
Autor:
Aleshin-Guendel, Serge, Wakefield, Jon
The under-5 mortality rate (U5MR), a critical health indicator, is typically estimated from household surveys in lower and middle income countries. Spatio-temporal disaggregation of household survey data can lead to highly variable estimates of U5MR,
Externí odkaz:
http://arxiv.org/abs/2309.00724
Autor:
Michal, Victoire, Wakefield, Jon, Schmidt, Alexandra M., Cavanaugh, Alicia, Robinson, Brian, Baumgartner, Jill
We consider random forests and LASSO methods for model-based small area estimation when the number of areas with sampled data is a small fraction of the total areas for which estimates are required. Abundant auxiliary information is available for the
Externí odkaz:
http://arxiv.org/abs/2308.15180
Doubly-stochastic point processes model the occurrence of events over a spatial domain as an inhomogeneous Poisson process conditioned on the realization of a random intensity function. They are flexible tools for capturing spatial heterogeneity and
Externí odkaz:
http://arxiv.org/abs/2306.06756
Autor:
Wakefield, Max
The Tutte polynomial and Derksen's $\mathcal{G}$-invariant are the universal deletion/contraction and valuative matroid and polymatroid invariants, respectively. There are only a handful of well known invariants (like the matroid Kazhdan-Lusztig poly
Externí odkaz:
http://arxiv.org/abs/2305.02874
Autor:
Emma Foster, Zhibin Chen, Claire E Wakefield, Zanfina Ademi, Elspeth Hutton, Timothy J Steiner, Alessandro S Zagami
Publikováno v:
The Journal of Headache and Pain, Vol 25, Iss 1, Pp 1-9 (2024)
Abstract Background There are no robust population-based Australian data on prevalence and attributed burden of migraine and medication-overuse headache (MOH) data. In this pilot cross-sectional study, we aimed to capture the participation rate, pref
Externí odkaz:
https://doaj.org/article/79bfd885b84d428187396ddebf870b94