Optimisation of the core subset for the APY approximation of genomic relationships

Autor: Ivan Pocrnic, Finn Lindgren, Daniel Tolhurst, William O. Herring, Gregor Gorjanc

Publikováno v: Genetics Selection Evolution, Vol 54, Iss 1, Pp 1-17 (2022)

Abstract Background By entering the era of mega-scale genomics, we are facing many computational issues with standard genomic evaluation models due to their dense data structure and cubic computational complexity. Several scalable approaches have bee

Externí odkaz: https://doaj.org/article/5d8d8987f0274add9d3ad5013a53519d

Extending the R number by applying hyperparameters of Log Gaussian Cox process models in an epidemiological context to provide insights into COVID-19 positivity in the City of Edinburgh and in students residing at Edinburgh University.

Autor: Megan Ruth Laxton, Glenna Nightingale, Finn Lindgren, Arjuna Sivakumaran, Richard Othieno

Publikováno v: PLoS ONE, Vol 18, Iss 11, p e0291348 (2023)

The impact of the COVID-19 pandemic on University students has been a topic of fiery debate and of public health research. This study demonstrates the use of a combination of spatiotemporal epidemiological models to describe the trends in COVID-19 po

Externí odkaz: https://doaj.org/article/a0a785cd82994b94943086d5ea6086ba

Calculating Probabilistic Excursion Sets and Related Quantities Using excursions

Autor: David Bolin, Finn Lindgren

Publikováno v: Journal of Statistical Software, Vol 86, Iss 1, Pp 1-20 (2018)

The R software package excursions contains methods for calculating probabilistic excursion sets, contour credible regions, and simultaneous confidence bands for latent Gaussian stochastic processes and fields. It also contains methods for uncertainty

Externí odkaz: https://doaj.org/article/4573dceddcc34607a6fe26e8939ea2dc

Joint models of multivariate longitudinal outcomes and discrete survival data with INLA: An application to credit repayment behaviour

Autor: Victor Medina-Olivares, Finn Lindgren, Raffaella Calabrese, Jonathan Crook

Publikováno v: Medina Olivares, V, Lindgren, F, Calabrese, R & Crook, J 2023, ' Joint models of multivariate longitudinal outcomes and discrete survival data with INLA : An application to credit repayment behaviour ', European Journal of Operational Research, vol. 310, no. 2, pp. 860-873 . https://doi.org/10.1016/j.ejor.2023.03.012

Survival models with time-varying covariates (TVCs) are widely used in the literature on credit risk prediction. However, when these covariates are endogenous, the inclusion procedure has been limited to practices such as lagging these variables or t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::37f9b231971e0ba6f1c08d6dea229ed6
https://doi.org/10.1016/j.ejor.2023.03.012

Inference of population genetics parameters using discriminator neural networks: an adversarial Monte Carlo approach

Autor: Graham Gower, Pablo Iáñez Picazo, Finn Lindgren, Fernando Racimo

Accurately estimating biological variables of interest, such as parameters of demographic models, is a key problem in evolutionary genetics. Likelihood-based and likelihood-free methods both typically use only limited genetic information, such as car

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6063cd7b735237e49ecd212fb78693ae
https://doi.org/10.1101/2023.04.27.538386