Blar i NTNU Open på forfatter "Bulso, Nicola"
-
Insights into the quantification and reporting of model-related uncertainty across different disciplines
Simmonds, Emily Grace; Dunn-Sigouin, Etienne; Adjei, Kwaku Peprah; Andersen, Christoffer Wold; Aspheim, Janne Cathrin Hetle; Battistin, Claudia; Bulso, Nicola; Christensen, Hannah M.; Cretois, Benjamin; Cubero, Ryan John Abat; Davidovich, Ivan Andres; Dickel, Lisa; Dunn, Benjamin Adric; Dyrstad, Karin; Einum, Sigurd; Giglio, Donata; Gjerløw, Haakon; Godefroidt, Amélie; González-Gil, Ricardo; Gonzalo Cogno, Soledad; Große, Fabian; Halloran, Paul; Jensen, Mari Fjalstad; Kennedy, John James; Langsæther, Peter Egge; Laverick, Jack H; Lederberger, Debora; Li, Camille; Mandeville, Elizabeth G; Mandeville, Caitlin; Moe, Espen; Schröder, Tobias Navarro; Nunan, David; Sicacha-Parada, Jorge; Simpson, Melanie Rae; Skarstein, Emma Sofie; Spensberger, Clemens; Stevens, Richard; Subramanian, Aneesh C.; Svendsen, Lea; Theisen, Ole Magnus; Watret, Connor; O'Hara, Robert B. (Peer reviewed; Journal article, 2022)Quantifying uncertainty associated with our models is the only way we can express how much we know about any phenomenon. Incomplete consideration of model-based uncertainties can lead to overstated conclusions with real-world ... -
Learning functional connectivity in the under-sampled regime
Bulso, Nicola (Doctoral theses at NTNU;2020:128, Doctoral thesis, 2020)Læring funksjonell tilkobling i under-samplet regime Siden de første dagene har nevrovitenskap forsker merket at den elektriske aktiviteten til noen nevroner i hjernen korrelerer med spesifikke trekk i den ekstern verden. ... -
Novel Model Selection Criterion for Inference of Ising Models
Tarlton, Michael (Master thesis, 2021)In this thesis we evaluate the performance of the novel Model Selection criteria proposed in Bulso et al. 2019, for inference of network topologies. To this purpose, we consider networks of binary nodes whose probability ... -
Sparse model selection in the highly under-sampled regime
Bulso, Nicola; Marsili, Matteo; Roudi, Yasser (Journal article, 2016)We propose a method for recovering the structure of a sparse undirected graphical model when very few samples are available. The method decides about the presence or absence of bonds between pairs of variable by considering ...