Browsing Matematisk institutt by Author "Frigessi, Arnoldo"

Now showing items 1-13 of 13

  • A sequential Monte Carlo approach to estimate a time varying reproduction number in infectious disease models: the Covid-19 case 
    Storvik, Geir Olve; Palomares, Alfonso Diz-Louis; Engebretsen, Solveig; Rø, Gunnar Øyvind Isaksson; Engø-Monsen, Kenth; Kristoffersen, AB; De Blasio, Birgitte Freiesleben; Frigessi, Arnoldo (Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2023)
    Abstract The Covid-19 pandemic has required most countries to implement complex sequences of non-pharmaceutical interventions, with the aim of controlling the transmission of the virus in the population. To be ...
  • An agent-based model with social interactions for scalable probabilistic prediction of performance of a new product 
    Parviero, Riccardo; Hellton, Kristoffer Herland; Haug, Ola; Engø-Monsen, Kenth; Rognebakke, Hanne Therese Wist; Canright, Geoffrey; Frigessi, Arnoldo; Scheel, Ida (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2022)
    Understanding the spreading process of new products provides valuable knowledge that can be used for effective marketing. The ability to make early prediction of success or failure is a great advantage in innovation ...
  • A Bayesian hierarchical model with spatial variable selection: the effect of weather on insurance claims. Derivation of distributions and MCMC sampling schemes 
    Scheel, Ida; Ferkingstad, Egil; Frigessi, Arnoldo; Haug, Ola; Hinnerichsen, Mikkel; Meze-Hausken, Elisabeth (Research report / Forskningsrapport, 2011)
    Climate change will affect the insurance industry. We develop a Bayesian hierarchical statistical approach to explain and predict insurance losses due to weather events at a local geographical scale. The number of ...
  • A Bayesian hierarchical model with spatial variable selection: the effect of weather on insurance claims. Derivation of distributions and MCMC sampling schemes 
    Scheel, Ida; Ferkingstad, Egil; Frigessi, Arnoldo; Haug, Ola; Hinnerichsen, Mikkel; Meze-Hausken, Elisabeth (Research report / Forskningsrapport, 2010)
    Climate change will affect the insurance industry. We develop a Bayesian hierarchical statistical approach to explain and predict insurance losses due to weather events at a local geographical scale. The number of ...
  • Calibrating regionally downscaled precipitation over Norway through quantile-based approaches 
    Bolin, David; Frigessi, Arnoldo; Guttorp, Peter; Haug, Ola; Orskaug, Elisabeth; Scheel, Ida; Wallin, Jonas (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2016)
    Dynamical downscaling of earth system models is intended to produce high-resolution climate information at regional to local scales. Current models, while adequate for describing temperature distributions at relatively ...
  • Dynamic slate recommendation with gated recurrent units and Thompson sampling 
    Eide, Simen; Leslie, David S.; Frigessi, Arnoldo (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2022)
    Abstract We consider the problem of recommending relevant content to users of an internet platform in the form of lists of items, called slates. We introduce a variational Bayesian Recurrent Neural Net recommender system ...
  • The Genomic HyperBrowser: an analysis web server for genome-scale data 
    Sandve, Geir Kjetil; Gundersen, Sveinung; Johansen, Morten; Glad, Ingrid Kristine; Gunathasan, Krishanthi; Holden, Lars; Holden, Marit; Liestøl, Knut; Nygård, Ståle; Nygaard, Vegard; Paulsen, Jonas; Rydbeck, Halfdan; Trengereid, Kai; Clancy, Trevor; Drabløs, Finn; Ferkingstad, Egil; Kalaš, Matúš; Lien, Tonje Gulbrandsen; Rye, Morten Beck; Frigessi, Arnoldo; Hovig, Johannes Eivind (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2013)
    The immense increase in availability of genomic scale datasets, such as those provided by the ENCODE and Roadmap Epigenomics projects, presents unprecedented opportunities for individual researchers to pose novel falsifiable ...
  • The Genomic HyperBrowser: inferential genomics at the sequence level 
    Sandve, Geir Kjetil; Gundersen, Sveinung; Rydbeck, Halfdan; Glad, Ingrid Kristine; Holden, Lars; Holden, Marit; Liestøl, Knut; Clancy, Trevor; Ferkingstad, Egil; Johansen, Morten; Nygaard, Vegard; Tøstesen, Eivind; Frigessi, Arnoldo; Hovig, Eivind (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2010)
    The immense increase in the generation of genomic scale data poses an unmet analytical challenge, due to a lack of established methodology with the required flexibility and power. We propose a first principled approach to ...
  • Hierarchical Bayesian premium rating with latent structure 
    Dimakos, Xeni Kristine; Frigessi, Arnoldo (Research report / Forskningsrapport, 2000)
  • Model-based estimation of transcript concentrations from spotted microarray data 
    Frigessi, Arnoldo; van de Wiel, Mark A.; Holden, Marit; Glad, Ingrid K.; Lyng, Heidi (Research report / Forskningsrapport, 2004)
    In this paper a bootstrap algorithm Much data from spotted microarrays remain unused because obtained with different protocols, platforms or designs, making comparisons across experiments impossible. We have developed a ...
  • Pre-diagnostic DNA methylation in blood leucocytes in cutaneous melanoma; a nested case–control study within the Norwegian Women and Cancer cohort 
    Page, Christian Magnus; Nøst, Therese Haugdahl; Djordjilović, Vera; Thoresen, Magne; Frigessi, Arnoldo; Sandanger, Torkjel M; Veierød, Marit Bragelien (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2022)
    Abstract The prognosis of cutaneous melanoma depends on early detection, and good biomarkers for melanoma risk may provide a valuable tool to detect melanoma development at a pre-clinical stage. By studying the epigenetic ...
  • Stationary space time Gaussian fields and their time autoregressive representation 
    Storvik, Geir; Frigessi, Arnoldo; Hirst, David (Research report / Forskningsrapport, 2001)
  • The differential disease regulome 
    Sandve, Geir K; Gundersen, Sveinung; Rydbeck, Halfdan; Glad, Ingrid K; Holden, Lars; Holden, Marit; Liestøl, Knut; Clancy, Trevor; Drabløs, Finn; Ferkingstad, Egil; Johansen, Morten; Nygaard, Vegard; Tøstesen, Eivind; Frigessi, Arnoldo; Hovig, Eivind (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2011)
    Background Transcription factors in disease-relevant pathways represent potential drug targets, by impacting a distinct set of pathways that may be modulated through gene regulation. The influence of ...