Jukka Corander
Visitor
Visitor
T313 Dept. Computer Science
Full researcher profile
https://research.aalto.fi/...
E-post
ext-jukka.corander@aalto.fi
Forskningsgrupp
- Myllymäki Petri group (HIIT), Visitor (Faculty)
- Helsinki Institute for Information Technology (HIIT), Visitor (Faculty)
Publikationer
Basic reproduction number varies markedly between closely related pandemic Escherichia coli clones
Fanni Ojala, Henri Pesonen, Rebecca A. Gladstone, Tommi Mäklin, Gerry Tonkin-Hill, Pekka Marttinen, Jukka Corander
2025
Nature Communications
Misspecification-robust likelihood-free inference in high dimensions
Owen Thomas, Raquel Sá-Leão, Hermínia de Lencastre, Samuel Kaski, Jukka Corander, Henri Pesonen
2025
Computational Statistics
Past, Present and Future of Software for Bayesian Inference
Erik Štrumbelj, Alexandre Bouchard-Côté, Jukka Corander, Andrew Gelman, Håvard Rue, Lawrence Murray, Henri Pesonen, Martyn Plummer, Aki Vehtari
2024
Statistical Science
ABC of the future
Henri Pesonen, Umberto Simola, Alvaro Köhn-Luque, Henri Vuollekoski, Xiaoran Lai, Arnoldo Frigessi, Samuel Kaski, David T. Frazier, Worapree Maneesoonthorn, Gael M. Martin, Jukka Corander
2023
International Statistical Review
Stochastic cluster embedding
Zhirong Yang, Yuwei Chen, Denis Sedov, Samuel Kaski, Jukka Corander
2023
STATISTICS AND COMPUTING
Identification of multiplicatively acting modulatory mutational signatures in cancer
Dovydas Kičiatovas, Qingli Guo, Miika Kailas, Henri Pesonen, Jukka Corander, Samuel Kaski, Esa Pitkänen, Ville Mustonen
2022
BMC Bioinformatics
Mandrake: visualizing microbial population structure by embedding millions of genomes into a low-dimensional representation
John A. Lees, Gerry Tonkin-Hill, Zhirong Yang, Jukka Corander
2022
Philosophical Transactions of the Royal Society B: Biological Sciences
Accounting for stellar activity signals in radial-velocity data by using change point detection techniques star
U. Simola, A. Bonfanti, X. Dumusque, J. Cisewski-Kehe, S. Kaski, J. Corander
2022
Astronomy & Astrophysics
Likelihood-free inference by ratio estimation
Owen M. Thomas, Ritabrata Dutta, Jukka Corander, Samuel Kaski, Michael Gutmann
2022
Bayesian Analysis
High-dimensional structure learning of sparse vector autoregressive models using fractional marginal pseudo-likelihood
Kimmo Suotsalo, Yingying Xu, Jukka Corander, Johan Pensar
2021
STATISTICS AND COMPUTING