Publications (30)
Statistical properties of interaction parameter estimates in direct coupling analysis
Yingying Xu, Erik Aurell, Jukka Corander +1
Labeled Directed Acyclic Graphs: a generalization of context-specific independence in directed graphical models
Johan Pensar, Henrik Nyman, Timo Koski +1
SEK: Sparsity exploiting $k$-mer-based estimation of bacterial community composition
Saikat Chatterjee, David Koslicki, Siyuan Dong +8
Bayesian semi-parametric forecasting of ultrafine particle number concentration with penalised splines and autoregressive errors
Sam Clifford, Bjarke Mølgaard, Sama Low Choy +4
Volume of Metric Balls in High-Dimensional Complex Grassmann Manifolds
Renaud-Alexandre Pitaval, Lu Wei, Olav Tirkkonen +1
Outage Capacity of Rayleigh Product Channels: a Free Probability Approach
Zhong Zheng, Lu Wei, Roland Speicher +3
Efficient Bayesian Inference of Atomistic Structure in Complex Functional Materials
Milica TodoroviÄ, Michael U. Gutmann, Jukka Corander +1
Fast k-NN search
Ville Hyvönen, Teemu Pitkänen, Sotiris Tasoulis +5
Asymptotic Matrix Variate von-Mises Fisher and Bingham Distributions with Applications
Lu Wei, Jukka Corander
Stratified Gaussian Graphical Models
Henrik Nyman, Johan Pensar, Jukka Corander
Computing Exact Clustering Posteriors with Subset Convolution
Jukka Kohonen, Jukka Corander
On the Outage Capacity of Orthogonal Space-time Block Codes Over Multi-cluster Scattering MIMO Channels
Lu Wei, Zhong Zheng, Jukka Corander +1
Stratified Graphical Models - Context-Specific Independence in Graphical Models
Henrik Nyman, Johan Pensar, Timo Koski +1
High-dimensional structure learning of binary pairwise Markov networks: A comparative numerical study
Johan Pensar, Yingying Xu, Santeri Puranen +3
Marginal and simultaneous predictive classification using stratified graphical models
Henrik Nyman, Jie Xiong, Johan Pensar +1
ELFI: Engine for Likelihood-Free Inference
Jarno Lintusaari, Henri Vuollekoski, Antti Kangasrääsiö +7
Bayesian Optimization for Likelihood-Free Inference of Simulator-Based Statistical Models
Michael U. Gutmann, Jukka Corander
Learning Gaussian Graphical Models With Fractional Marginal Pseudo-likelihood
Janne Leppä-aho, Johan Pensar, Teemu Roos +1
Learning Chordal Markov Networks by Constraint Satisfaction
Jukka Corander, Tomi Janhunen, Jussi Rintanen +2
Doubly Stochastic Neighbor Embedding on Spheres
Yao Lu, Jukka Corander, Zhirong Yang
Addition Chains Meet Postage Stamps: Reducing the Number of Multiplications
Jukka Kohonen, Jukka Corander
Context-specific independence in graphical log-linear models
Henrik Nyman, Johan Pensar, Timo Koski +1
Likelihood-free inference via classification
Michael U. Gutmann, Ritabrata Dutta, Samuel Kaski +1
On the inconsistency of $\ell_1$-penalised sparse precision matrix estimation
Otte Heinävaara, Janne Leppä-aho, Jukka Corander +1
Bayesian identification of bacterial strains from sequencing data
Aravind Sankar, Brandon Malone, Sion Bayliss +7
Genome-wide association studies with high-dimensional phenotypes
Pekka Marttinen, Jussi Gillberg, Aki Havulinna +2
Inferring Cognitive Models from Data using Approximate Bayesian Computation
Antti Kangasrääsiö, Kumaripaba Athukorala, Andrew Howes +3
From Random Matrix Theory to Coding Theory: Volume of a Metric Ball in Unitary Group
Lu Wei, Renaud-Alexandre Pitaval, Jukka Corander +1
Classification and Bayesian Optimization for Likelihood-Free Inference
Michael U. Gutmann, Jukka Corander, Ritabrata Dutta +1
Experiences in Bayesian Inference in Baltic Salmon Management
Sakari Kuikka, Jarno Vanhatalo, Henni Pulkkinen +2