The Information Cut and Graph Spectral Clustering 2004. Scientific lecture

Cauchy-Schwartz pdf Divergence Measure for non-Parametric Clustering 2003. Scientific lecture

Information Force Clustering using Directed Trees 2003. Scientific lecture

Information Cut and Information Forces for Clustering 2003. Scientific lecture

Clustering using Renyi's Entropy 2003. Scientific lecture

Sparse code shrinkage based on the normal inverse Gaussian density model 2001. Scientific lecture

Sparse code shrinkage based on the normal inverse Gaussian density model 2001. Scientific lecture

A Low Complexity Adaptive Beamformer for Active Sonar Imaging 2011. Scientific lecture

Robust ultrasonic indoor positioning using transmitter arrays 2010. Scientific lecture

Implementing uncrewed surface vehicles in existing acoustic trawl surveys: data infrastructure, remote operating centre, edge computing, data compression and transfer, data quality monitoring, and automated target classification 2025. Scientific lecture

Robot Companions for Older People – Ethical Concerns 2018. Scientific lecture

Privacy at Home: An Inquiry into Sensors and Robots for the Stay at Home Elderly 2018. Scientific lecture

Moving with Style: Classifying movement with Humans & Robots 2018. Scientific lecture

Facilitating Robots at Home: A Framework for Understanding Robot Facilitation 2018. Scientific lecture

Making Robots Move Using Animation Techniques 2018. Scientific lecture

Introducing a Robotic Multimodal Elderly Care system (MECS) 2018. Scientific lecture

Presentation: Walking Away from the Robot: Negotiating Privacy with a Robot 2017. Scientific lecture

Probabilistic Dialogue Models with Prior Domain Knowledge , 2012. Scientific lecture

Dialogue Management with Probabilistic Rules , 2012. Scientific lecture

An Introduction to Machine Learning , 2012. Scientific lecture

Towards relational POMDPS for adaptive dialogue management 2010. Scientific lecture

Bayesian approaches to neural networks 2019. Scientific lecture

Specification of mutation probabilities through Metropolis-Hastings steps 2018. Scientific lecture

Deep Bayesian regression models 2018. Scientific lecture

A novel algorithmic approach to Bayesian Logic Regression 2017. Scientific lecture

Dynamical Linear Models for Condition Monitoring with Multivariate Sensor Data 2016. Scientific lecture

Estimation of static parameters using particle filters and a block independence approximation 2014. Scientific lecture

Computational tools for analysis of models with latent structures 2013. Scientific lecture

Bayesian approaches to neural networks 2012. Scientific lecture

On the flexibility of acceptance probabilities in auxiliary variable Metropolis-Hastings algorithms 2010. Scientific lecture

Bayesian analysis of plague in Kazakhstan 2010. Scientific lecture

Bayesian analysis of plague in Kazakhstan 2010. Scientific lecture

On the flexibility of acceptance probabilities in auxiliary variable Metropolis-Hastings algorithms 2009. Scientific lecture

Plague in Kazakhstan - A case study 2009. Scientific lecture

Factors affecting year-to-year and within river variability of one-sea-winter Atlantic salmon in Norwegian rivers 2009. Scientific lecture

Sekvensiell Monte Carlo (eller Partikkelfiltre) 2009. Scientific lecture

Sekvensiell Monte Carlo (eller Partikkelfiltre) 2009. Scientific lecture

Quantification of evidence when suspects are found by searches through DNA databases 2009. Scientific lecture

Quantification of evidence when suspects are found by searches through DNA databases 2009. Scientific lecture

Modelling Pollock egg counts from the western Gulf of Alaska by a zero-inflated Bayesian hierarchical space-time model 2008. Scientific lecture

Modelling Pollock egg counts from the western Gulf of Alaska by a zero-inflated Bayesian hierarchical space-time model 2008. Scientific lecture

On the flexibility of importance weights in importance sampling and Markov chain Monte Carlo 2008. Scientific lecture

On the flexibility of importance weights in importance sampling and Markov chain Monte Carlo 2008. Scientific lecture

Intro til Bayesiansk Statistikk 2007. Scientific lecture

Intro til Bayesiansk Statistikk 2007. Scientific lecture

Posterior and Prior Predictive p-values in Bayesian Hierarchical models 2007. Scientific lecture

Posterior and Prior Predictive p-values in Bayesian Hierarchical models 2007. Scientific lecture

The DNA database search controversy revisited: Bridging the Bayesian - Frequentist gap 2007. Scientific lecture

The DNA database search controversy revisited: Bridging the Bayesian - Frequentist gap 2007. Scientific lecture

Modelling Pollock egg counts from the western Gulf of Alaska by a zero-inflated Bayesian hierarchical space-time model 2007. Scientific lecture