Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Heiko Strathmann"'
Publikováno v:
IEEE Access, Vol 9, Pp 76750-76758 (2021)
Kernel methods on discrete domains have shown great promise for many challenging data types, for instance, biological sequence data and molecular structure data. Scalable kernel methods like Support Vector Machines may offer good predictive performan
Externí odkaz:
https://doaj.org/article/17301ebe09ad40fcaa8ede50eda636c1
Publikováno v:
Stat. 6:271-281
We propose a determinant-free approach for simulation-based Bayesian inference in high-dimensional Gaussian models. We introduce auxiliary variables with covariance equal to the inverse covariance of the model. The joint probability of the auxiliary
Publikováno v:
Lyne, A-M, Girolami, M, Atchadé, Y, Strathmann, H & Simpson, D 2015, ' On Russian Roulette Estimates for Bayesian Inference with Doubly-Intractable Likelihoods ', Statistical Science, vol. 30, no. 4, pp. 443-467 . https://doi.org/10.1214/15-STS523
Statist. Sci. 30, no. 4 (2015), 443-467
Statist. Sci. 30, no. 4 (2015), 443-467
A large number of statistical models are "doubly-intractable": the likelihood normalising term, which is a function of the model parameters, is intractable, as well as the marginal likelihood (model evidence). This means that standard inference techn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e40d03891f004ba815a60c1fe4b59b50
https://purehost.bath.ac.uk/ws/files/146848896/Accepted_Version.pdf
https://purehost.bath.ac.uk/ws/files/146848896/Accepted_Version.pdf
Publikováno v:
Machine Learning and Knowledge Discovery in Databases ISBN: 9783319712482
ECML/PKDD (1)
ECML/PKDD (1)
We propose kernel sequential Monte Carlo (KSMC), a framework for sampling from static target densities. KSMC is a family of sequential Monte Carlo algorithms that are based on building emulator models of the current particle system in a reproducing k
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::91bde3ef256c9ac13ef82cdc11cc6819
Autor:
Dorothea Bankwitz, Jörg Timm, Falko M. Heinemann, Patrick Chhatwal, Peter A. Horn, M Ruhl, Andreas Walker, Daniel Hoffmann, Todd M. Allen, Heiko Strathmann, Kathrin Skibbe, Thomas Pietschmann, Thomas Kuntzen
Antiviral CD8 + T cells are a key component of the adaptive immune system against hepatitis C virus (HCV). For the development of immune therapies, it is essential to understand how CD8 + T cells contribute to clearance of infection and why they fail
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5586b0722b62cd5fde14caac5f0663e0
https://www.zora.uzh.ch/id/eprint/74094/
https://www.zora.uzh.ch/id/eprint/74094/