135 citations · 886 across the 57 of their papers we have counts for
59 papers
Quantifying the common genetic variability of bacterial traits
T. Tien Mai, Gerry Tonkin-Hill, John A. Lees +1
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 e…
Likelihood-free Model Choice for Simulator-based Models with the Jensen--Shannon Divergence
Jukka Corander, Ulpu Remes, Timo Koski
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 develop…
Accounting for stellar activity signals in radial-velocity data by using Change Point Detection techniques
U. Simola, A. Bonfanti, X. Dumusque +3
Active regions on the photosphere of a star have been the major obstacle for detecting Earth-like exoplanets using the radial velocity (RV) method. A commonly employed solution for…
Nonparametric likelihood-free inference with Jensen-Shannon divergence for simulator-based models with categorical output
Jukka Corander, Ulpu Remes, Ida Holopainen +1
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 fo…
On predictive inference for intractable models via approximate Bayesian computation
Marko Järvenpää, Jukka Corander
Approximate Bayesian computation (ABC) is commonly used for parameter estimation and model comparison for intractable simulator-based models whose likelihood function cannot be eva…
ABC of the Future
Henri Pesonen, Umberto Simola, Alvaro Köhn-Luque +8
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…