Zobrazeno 1 - 10
of 1 206
pro vyhledávání: '"Corander, Jukka"'
Autor:
Pesonen, Henri, Corander, Jukka
Approximate Bayesian computation (ABC) methods are standard tools for inferring parameters of complex models when the likelihood function is analytically intractable. A popular approach to improving the poor acceptance rate of the basic rejection sam
Externí odkaz:
http://arxiv.org/abs/2401.00324
The study of common heritability, or co-heritability, among multiple traits has been widely established in quantitative and molecular genetics. However, in bacteria, genome-based estimation of heritability has only been considered very recently and n
Externí odkaz:
http://arxiv.org/abs/2302.11378
Publikováno v:
Bioinformatics Advances 2023
Quantification of heritability is a fundamental desideratum in genetics, which allows an assessment of the contribution of additive genetic variation to the variability of a trait of interest. The traditional computational approaches for assessing th
Externí odkaz:
http://arxiv.org/abs/2208.04797
Choice of appropriate structure and parametric dimension of a model in the light of data has a rich history in statistical research, where the first seminal approaches were developed in 1970s, such as the Akaike's and Schwarz's model scoring criteria
Externí odkaz:
http://arxiv.org/abs/2206.04110
Likelihood-free inference for simulator-based statistical models has recently attracted a surge of interest, both in the machine learning and statistics communities. The primary focus of these research fields has been to approximate the posterior dis
Externí odkaz:
http://arxiv.org/abs/2205.10890
Autor:
Järvenpää, Marko, Corander, Jukka
Approximate Bayesian computation (ABC) is commonly used for parameter estimation and model comparison for intractable simulator-based models whose likelihood function cannot be evaluated. In this paper we instead investigate the feasibility of ABC as
Externí odkaz:
http://arxiv.org/abs/2203.12495
Autor:
Pesonen, Henri, Simola, Umberto, Köhn-Luque, Alvaro, Vuollekoski, Henri, Lai, Xiaoran, Frigessi, Arnoldo, Kaski, Samuel, Frazier, David T., Maneesoonthorn, Worapree, Martin, Gael M., Corander, Jukka
Approximate Bayesian computation (ABC) has advanced in two decades from a seminal idea to a practically applicable inference tool for simulator-based statistical models, which are becoming increasingly popular in many research domains. The computatio
Externí odkaz:
http://arxiv.org/abs/2112.12841
Autor:
Mikkola, Petrus, Martin, Osvaldo A., Chandramouli, Suyog, Hartmann, Marcelo, Pla, Oriol Abril, Thomas, Owen, Pesonen, Henri, Corander, Jukka, Vehtari, Aki, Kaski, Samuel, Bürkner, Paul-Christian, Klami, Arto
Specification of the prior distribution for a Bayesian model is a central part of the Bayesian workflow for data analysis, but it is often difficult even for statistical experts. In principle, prior elicitation transforms domain knowledge of various
Externí odkaz:
http://arxiv.org/abs/2112.01380
Autor:
Chisholm, Rebecca H., Lacey, Jake A., Kokko, Jan, Campbell, Patricia T., McDonald, Malcolm I., Corander, Jukka, Davies, Mark R., Tong, Steven Y. C., McVernon, Jodie, Geard, Nicholas
The bacterium Group A Streptococcus (Streptococcus pyogenes, GAS) is a human-specific pathogen and a major cause of global morbidity and mortality. Despite decades of research our knowledge of GAS infection and immunity is incomplete, hampering vacci
Externí odkaz:
http://arxiv.org/abs/2111.06498