Zobrazeno 1 - 10
of 40 320
pro vyhledávání: '"A Livingstone"'
Polyhazard models are a class of flexible parametric models for modelling survival over extended time horizons. Their additive hazard structure allows for flexible, non-proportional hazards whose characteristics can change over time while retaining a
Externí odkaz:
http://arxiv.org/abs/2406.14182
Autor:
Madan, Spandan, Xiao, Will, Cao, Mingran, Pfister, Hanspeter, Livingstone, Margaret, Kreiman, Gabriel
We characterized the generalization capabilities of DNN-based encoding models when predicting neuronal responses from the visual cortex. We collected \textit{MacaqueITBench}, a large-scale dataset of neural population responses from the macaque infer
Externí odkaz:
http://arxiv.org/abs/2406.16935
We propose a new simple and explicit numerical scheme for time-homogeneous stochastic differential equations. The scheme is based on sampling increments at each time step from a skew-symmetric probability distribution, with the level of skewness dete
Externí odkaz:
http://arxiv.org/abs/2405.14373
Publikováno v:
The Electronic Journal of Information Systems in Developing Countries, e12314
The HIV/AIDS pandemic is a global issue that has unequally affected several countries. Due to the complexity of this condition and the human drama it represents to those most affected by it, several fields have contributed to solving or at least alle
Externí odkaz:
http://arxiv.org/abs/2403.06076
Autor:
Hird, Max, Livingstone, Samuel
Linear transformation of the state variable (linear preconditioning) is a common technique that often drastically improves the practical performance of a Markov chain Monte Carlo algorithm. Despite this, however, the benefits of linear preconditionin
Externí odkaz:
http://arxiv.org/abs/2312.04898
In this paper, we introduce a novel MCMC sampler, PARNI-DAG, for a fully-Bayesian approach to the problem of structure learning under observational data. Under the assumption of causal sufficiency, the algorithm allows for approximate sampling direct
Externí odkaz:
http://arxiv.org/abs/2311.00599
Autor:
Hettiachchi, Danula, Holcombe-James, Indigo, Livingstone, Stephanie, de Silva, Anjalee, Lease, Matthew, Salim, Flora D., Sanderson, Mark
Crowdsourced annotation is vital to both collecting labelled data to train and test automated content moderation systems and to support human-in-the-loop review of system decisions. However, annotation tasks such as judging hate speech are subjective
Externí odkaz:
http://arxiv.org/abs/2309.01288
Developing an efficient computational scheme for high-dimensional Bayesian variable selection in generalised linear models and survival models has always been a challenging problem due to the absence of closed-form solutions for the marginal likeliho
Externí odkaz:
http://arxiv.org/abs/2308.00869
Autor:
Livingstone Asem, Geoffrey Adebayo Asalu, Shaibu Seidu, Blessing Yayra Amable, Gifty Emefa Kpordze, Wisdom Kwami Takramah, Emmanuel Amaglo, Senanu Kwesi Dzokoto
Publikováno v:
BMC Health Services Research, Vol 24, Iss 1, Pp 1-7 (2024)
Abstract Introduction In Ghana, access to health care is impeded mostly by financial capital. The National Health Insurance (NHIS) rolled out in 2003 was an attempt to remove cost as a barrier and help bridge this gap in health access. Despite the be
Externí odkaz:
https://doaj.org/article/7b00cd87d05c40e89fecf1011af1face
Autor:
Ashley R. Sutherland, Brijesh Parlekar, David W. Livingstone, Andrés X. Medina, Wendy Bernhard, Tays Hernández García, John DeCoteau, C. Ronald Geyer
Publikováno v:
Journal of Nanobiotechnology, Vol 22, Iss 1, Pp 1-13 (2024)
Abstract Background Adoptive cell cancer therapies aim to re-engineer a patient’s immune cells to mount an anti-cancer response. Chimeric antigen receptor T and natural killer cells have been engineered and proved successful in treating some cancer
Externí odkaz:
https://doaj.org/article/cb8f4f0df89549488e5fbe56f8fd5d8c