Zobrazeno 1 - 10
of 42
pro vyhledávání: '"Aslett, Louis J. M."'
Autor:
Aslett, Louis J. M., Christ, Ryan R.
Publikováno v:
BMC Bioinformatics. 25 (2024)
Approximating the recent phylogeny of $N$ phased haplotypes at a set of variants along the genome is a core problem in modern population genomics and central to performing genome-wide screens for association, selection, introgression, and other signa
Externí odkaz:
http://arxiv.org/abs/2212.11403
In complex settings, such as healthcare, predictive risk scores play an increasingly crucial role in guiding interventions. However, directly updating risk scores used to guide intervention can lead to biased risk estimates. To address this, we propo
Externí odkaz:
http://arxiv.org/abs/2202.06374
Autor:
Liley, James, Emerson, Samuel R, Mateen, Bilal A, Vallejos, Catalina A, Aslett, Louis J M, Vollmer, Sebastian J
Machine learning is increasingly being used to generate prediction models for use in a number of real-world settings, from credit risk assessment to clinical decision support. Recent discussions have highlighted potential problems in the updating of
Externí odkaz:
http://arxiv.org/abs/2010.11530
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
For a wide class of monotonic functions $f$, we develop a Chernoff-style concentration inequality for quadratic forms $Q_f \sim \sum\limits_{i=1}^n f(\eta_i) (Z_i + \delta_i)^2$, where $Z_i \sim N(0,1)$. The inequality is expressed in terms of traces
Externí odkaz:
http://arxiv.org/abs/1911.05720
Autor:
Aslett, Louis J. M.1 (AUTHOR) louis.aslett@durham.ac.uk, Christ, Ryan R.2 (AUTHOR)
Publikováno v:
BMC Bioinformatics. 2/28/2024, Vol. 25 Issue 1, p1-18. 18p.
Publikováno v:
Reliability Engineering & System Safety (2019), 189, pp.416-422
It is often difficult for a phased mission system (PMS) to be highly reliable, because this entails achieving high reliability in every phase of operation. Consequently, reliability analysis of such systems is of critical importance. However, efficie
Externí odkaz:
http://arxiv.org/abs/1807.09616
Information that is stored in an encrypted format is, by definition, usually not amenable to statistical analysis or machine learning methods. In this paper we present detailed analysis of coordinate and accelerated gradient descent algorithms which
Externí odkaz:
http://arxiv.org/abs/1703.00839
Autor:
Thoma, Ioanna, Rogers, Simon, Ireland, Jillian, Porteous, Rachel, Borland, Katie, Vallejos, Catalina A., Aslett, Louis J. M., Liley, James
Publikováno v:
PLoS Digital Health; 12/17/2024, Vol. 3 Issue 12, p1-16, 16p
As the size of engineered systems grows, problems in reliability theory can become computationally challenging, often due to the combinatorial growth in the cut sets. In this paper we demonstrate how Multilevel Monte Carlo (MLMC) - a simulation appro
Externí odkaz:
http://arxiv.org/abs/1609.00691