Now showing items 3414-3433 of 3780

  • Cetinoglu, Ece (Master thesis / Masteroppgave, 2023)
    The exploration of regression analysis based on text is understudied compared to other tasks, and there are limited literature on this topic, with very few studies delving into this specific task. This thesis aims to ...
  • Moe, Karoline; Maugesten, Paul Aleksander (Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2019)
    In an article from 1865, Arthur Cayley claims that given a plane algebraic curve there exists an associated 2-Hessian curve that intersects it in its sextactic points. In this paper we fix an error in Cayley's calculations ...
  • Lindstrøm, Tom Louis (Chapter / Bokkapittel / AcceptedVersion; Peer reviewed, 2023)
    I give a survey of Sergio Albeverio’s work in nonstandard analysis, covering applications to operator theory, stochastic analysis, Dirichlet forms, quantum mechanics, and quantum field theory, and making an attempt at ...
  • Enstad, Ulrik Bo Rufus (Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2019)
  • Helland, Inge Svein (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2022)
    The well known Bell experiment with two actors Alice and Bob is considered. First the simple deduction leading to the CHSH inequality under local realism is reviewed, and some arguments from the literature are recapitulated. ...
  • Brevig, Ole Fredrik (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2024)
  • Normann, Dag; Sanders, Sam (Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2023)
    The aim of Reverse Mathematics (RM for short) is to find the minimal axioms needed to prove a given theorem of ordinary mathematics. These minimal axioms are almost always equivalent to the theorem, working over the base ...
  • Lawrence, Graeme; Midtervoll, Ingvild; Samuelsen, Sven O.; Kristoffersen, Anne K.; Enersen, Morten; Håheim, Lise L. (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2022)
    Background Little is known about the association between bacterial DNA in human blood and the risk of cardiovascular disease (CVD) mortality. Methods ...
  • Ciardo, Lorenzo (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2020)
    Kemeny's constant κ(G) of a connected undirected graph G can be interpreted as the expected transit time between two randomly chosen vertices for the Markov chain associated with G. In certain cases, inserting a new edge ...
  • Kvamme, Håvard; Borgan, Ørnulf (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2023)
    The Brier score is commonly used for evaluating probability predictions. In survival analysis, with right-censored observations of the event times, this score can be weighted by the inverse probability of censoring (IPCW) ...
  • Falk, Richard S.; Winther, Ragnar (Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2022)
    The purpose of this paper is to discuss a generalization of the bubble transform to differential forms. The bubble transform was discussed in Falk and Winther (Found Comput Math 16(1):297–328, 2016) for scalar valued ...
  • Rognes, John (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2020)
  • Rauter, Matthias (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2021)
    The incompressible μ(I)-rheology has been used to study subaerial granular flows with remarkable success. For subaquatic granular flows, drag between grains and the pore fluid is substantially higher and the physical ...
  • Skauli, Bjørn (Master thesis / Masteroppgave, 2017)
    In this thesis we give an introduction to the Minimal Model Program and the Morrison-Kawamata cone conjecture. We then present some known results on anticanonical hypersurfaces building up to the result proven by Kollár ...
  • Boug, Pål; Cappelen, Ådne; Jansen, Eilev S; Swensen, Anders Rygh (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2020)
    We formulate a general cointegrated vector autoregressive (CVAR) model that nests both a class of consumption Euler equations and various Keynesian‐type consumption functions. Using likelihood‐based methods and Norwegian ...
  • Stoltenberg, Emil Aas; Nordeng, Hedvig Marie Egeland; Ystrøm, Eivind; Samuelsen, Sven Ove (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2020)
    In the statistical literature, the class of survival analysis models known as cure models has received much attention in recent years. Cure models seem not, however, to be part of the statistical toolbox of perinatal ...
  • Støle-Hentschel, Susanne; Nieto Borge, Jose Carlos; Trulsen, Karsten (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2021)
    This work introduces the deconvolution as a technique to reconstruct missing information in data. While the method was originally developed for ocean waves, it will be useful in a wider range of applications where gaps in ...
  • Enstad, Ulrik Bo Rufus (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2022)
    We consider converses to the density theorem for square-integrable, irreducible, projective, unitary group representations restricted to lattices using the dimension theory of Hilbert modules over twisted group von Neumann ...
  • 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 ...
  • Colbrook, Matthew J.; Antun, Vegard; Hansen, Anders Christian (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2022)
    Significance Instability is the Achilles’ heel of modern artificial intelligence (AI) and a paradox, with training algorithms finding unstable neural networks (NNs) despite the existence of stable ones. This foundational ...