56 citations · 79 across the 5 of their papers we have counts for
5 papers
High-dimensional structure learning of binary pairwise Markov networks: A comparative numerical study
Johan Pensar, Yingying Xu, Santeri Puranen +3
Learning the undirected graph structure of a Markov network from data is a problem that has received a lot of attention during the last few decades. As a result of the general appl…
Inferring Cognitive Models from Data using Approximate Bayesian Computation
Antti Kangasrääsiö, Kumaripaba Athukorala, Andrew Howes +3
An important problem for HCI researchers is to estimate the parameter values of a cognitive model from behavioral data. This is a difficult problem, because of the substantial comp…
Stratified Gaussian Graphical Models
Henrik Nyman, Johan Pensar, Jukka Corander
Gaussian graphical models represent the backbone of the statistical toolbox for analyzing continuous multivariate systems. However, due to the intrinsic properties of the multivari…
SEK: Sparsity exploiting -mer-based estimation of bacterial community composition
Saikat Chatterjee, David Koslicki, Siyuan Dong +8
Motivation: Estimation of bacterial community composition from a high-throughput sequenced sample is an important task in metagenomics applications. Since the sample sequence data…
On the Outage Capacity of Orthogonal Space-time Block Codes Over Multi-cluster Scattering MIMO Channels
Lu Wei, Zhong Zheng, Jukka Corander +1
Multiple cluster scattering MIMO channel is a useful model for pico-cellular MIMO networks. In this paper, orthogonal space-time block coded transmission over such a channel is con…