Gjesteforelesninger og seminarer ved UiO

Department seminar. Maren Holthe Hedne is a PhD-Student at the Department of Economics, University of Oslo.

Lecture by Gao Xi, professor of History and Medical History at the Fudan University.

I anledning professor Espen Ytrebergs 60-?rsdag inviterer Institutt for medier og kommunikasjon til seminar om ? skrive om fag for alle. Espen f?r selskap av andre dyktige skrivere og vi ser frem til en interessant ettermiddag!

 Network models are useful tools for modelling complex associations in a vast number of areas, including statistical omics. If a Gaussian graphical model with independent and identically distributed samples is assumed, an association network can be estimated by determining the non-zero entries of the inverse covariance (precision) matrix of the data. This independence assumption is however violated in many applications. For example, observations from multivariate time series data will not be independent due to temporal correlations. Similarly, spatial data will exhibit spatial correlations. Additionally, the identical distribution assumption will often not hold due to heterogeneity in data; a common problem in many applications such as cancer omics, where large tumour heterogeneity in patients with the same cancer type is common due to various genetic and genomic factors. 

In this talk, I will present recent advances and challenges in our work with modelling covariate-dependent Gaussian graphical models through kernel smoothing and the graphical horseshoe prior. This work is a collaboration with Prof. Sylvia Richardson and Dr. H¨¦l¨¨ne Ruffieux.  

Agnieszka St?pkowska explores how bilingual couples use and maintain Esperanto as a lingua franca, and efforts to pass the language onto their children.