Deep non-linear regression models in a Bayesian framework 2017. Lecture

Variable selection in binomial regression with latent Gaussian field models for analysis of epigenetic data 2017. Lecture

A novel GMJMCMC algorithm for Bayesian Logic Regression models 2017. Lecture

Variable selection in logistic regression with a latent Gaussian field models with an application in epigenomics 2016. Lecture

VARIABLE SELECTION IN BINOMIAL REGRESSION WITH LATENT GAUSSIAN FIELD MODELS FOR ANALYSIS OF EPIGENETIC DATA 2016. Lecture

On Mode Jumping in MCMC for Bayesian Variable Selection within GLMM 2016. Lecture

Variable selection in binomial regression with a latent Gaussian field models for analysis of epigenetic data 2015. Lecture

On model selection in Hidden Markov Models with covariates 2015. Lecture

Variable selection in binomial regression with a latent Gaussian field models for analysis of epigenetic data 2015. Lecture

Estimation of fish abundance and demography in the Barents sea 2015. Lecture

DNA som bevismateriale - Sannsynlighetsregning i rettsalen 2010. Lecture

DNA som bevismateriale - Sannsynlighetsregning i praksis 2009. Lecture

DNA som bevismateriale Sannsynlighetsregning i rettssalen 2007. Lecture

DNA som bevismateriale Sannsynlighetsregning i rettssalen 2007. Lecture

DNA som bevismateriale - Sannsynlighetsregning i rettssalen 2007. Lecture

DNA som bevismateriale - Sannsynlighetsregning i rettssalen 2007. Lecture

Hvorfor data + data = sant: Fra telling av fisk til DNA-profiler av voldsmenn 2007. Lecture

Kunstig intelligens som forklarer hva den tenker doi: https://doi.org/https://youtu.be/mZdGNQl_kqs?si=PAjttUxvmi5xvsYU , 2025. Lecture

Integrering av kunstig intelligens i pasientbehandling 2025. Lecture

True data and their synthetic versions. 2025. Lecture

True data and their synthetic versions. 2025. Lecture

What can we expect from AI in the next 5 years? 2025. Lecture

Synthetic data generation balancing privacy and utility, using vine copulas 2025. Lecture

Panels of intercorrelated time series: Linear and nonlinear models 1998. Lecture

Panels of intercorrelated time series 1998. Lecture

Nonparametric estimation for null recurrent time series 1998. Lecture

Panels of intercorrelated time series in linear and nonlinear models 1998. Lecture

Specification procedures for linear and nonlinear time series 1998. Lecture

Exploring time series using nonparametric methods 1997. Lecture

Panels of intercorrelated time series: Linear and nonlinear models 1997. Lecture

Panels of intercorrelated time series: Linear and nonlinear models 1997. Lecture

Panels of intercorrelated time series 1997. Lecture

Tests of Independence 1994. Lecture

Utover det virkelige: Rollen til syntetiske data i utviklingen av KI 2025. Lecture

Synthetic data generation balancing privacy and utility, using vine copulas doi: https://doi.org/https://nva.sikt.no/registration/0199812d9067-f1497889-e36d-4995-8686-7c68d1e99cdb/edit , 2024. Lecture

Hvorfor Data + Data = Sant - Fra telling av fisk til DNA-profiler av voldsmenn 2006. Lecture

Hvorfor Data + Data = Sant - Fra telling av fisk til DNA-profiler av voldsmenn 2005. Lecture

Bayes teorem i genetikk og miljøovervåkning 2003. Lecture

Simulering - hva, hvordan, hvorfor 1995. Lecture

Kunstig intelligens fra øst og vest 2025. Lecture

Maskinlæring versus statistisk modellering 2025. Lecture

ORIS; med handlekurven full av åpne data 2010. Lecture

Åpn opp dine data 2010. Lecture