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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:
Nanma Livingstone, Arya Jith
Publikováno v:
Kerala Journal of Psychiatry, Vol 37, Iss 1, Pp 55-58 (2024)
Disulfiram is an effective deterrent drug for alcohol use in patients who have undergone detoxification and who are motivated to remain abstinent. Disulfiram poisoning is not common; only a few cases have been reported in the literature. Although mos
Externí odkaz:
https://doaj.org/article/fe23e936e2714ab4bb2a989936d68d04
Publikováno v:
Open Access Emergency Medicine, Vol Volume 16, Pp 221-229 (2024)
Christopher Thom, Justin Yaworsky, Kevin Livingstone, David Han, Jakob Ottenhoff Department of Emergency Medicine, University of Virginia Health System, Charlottesville, Virginia, USACorrespondence: Christopher Thom, University of Virginia Health Sys
Externí odkaz:
https://doaj.org/article/8cf56934efe240cfa66aa7c364eff866