Sökning: "Carlo Andersson"

Visar resultat 1 - 5 av 21 uppsatser innehållade orden Carlo Andersson.

  1. 1. Simuleringsdriven inferens av stokastiska dynamiska system

    Kandidat-uppsats, Göteborgs universitet/Institutionen för matematiska vetenskaper

    Författare :Alfred Andersson; Vilgot Jansson; Noah Trädgårdh; Jacob Welander; Victor Wellsmo; [2023-11-28]
    Nyckelord :;

    Sammanfattning : Stokastiska modeller, som ger tillförlitlig och användbar information om ett systems beteende, består ofta av stokastiska differentialekvationer (SDE) vars likelihoodfunktion inte är analytiskt tillgänglig. Mer traditionella Markov Chain Monte Carlo-metoder (MCMC) samt relativt nyligen utvecklade likelihood-fria Approximate Bayesian Computation-metoder (ABC) utgör populära angrepssätt för att utföra inferens på dessa typer av problem. LÄS MER

  3. 2. Sequential Good-Turing and the Missing Species Problem

    Master-uppsats, Lunds universitet/Matematisk statistik

    Författare :Oskar Andersson; [2022]
    Nyckelord :Good Turing; The missing Species problem; Good Toulmin; unseen species; Mathematics and Statistics;

    Sammanfattning : This essay introduces the sequential Good-Turing estimator and reviews the Good-Turing, Good-Toulmin and smoothed Good-Toulmin estimators. Some theoretical properties and drawbacks of the estimators are described. LÄS MER

  4. 3. Markov Chain Monte Carlo (MCMC) and Bayesian Inference for Gravitational Waves

    Kandidat-uppsats, Lunds universitet/Astronomi - Genomgår omorganisation

    Författare :Christine Andersson; [2021]
    Nyckelord :Gravitational Waves; LISA; LISA mission; Bayesian Inference; Markov Chain Monte Carlo; MCMC; Bayes’ Theorem; stochastic sampling; Metropolis Hastings; histograms; Physics and Astronomy;

    Sammanfattning : The Laser Interferometer Space Antenna (LISA) is a space borne gravitational wave detec- tor set to launch in 2034, with the objective of detecting and studying the Gravitational Waves (GWs) of our universe. So far, ground-based detectors such as the Laser Interferometer Gravitational-Wave Observatory (LIGO) have been successful in detecting GWs, but the limitations of ground based detectors is what makes LISA so special. LÄS MER

  5. 4. Inverse Uncertainty Quantification using deterministic sampling : An intercomparison between different IUQ methods

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Tillämpad kärnfysik

    Författare :Hjalmar Andersson; [2021]
    Nyckelord :Inverse Uncertainty Quantification; Model calibration; Unscented transform; Deterministic sampling;

    Sammanfattning : In this thesis, two novel methods for Inverse Uncertainty Quantification are benchmarked against the more established methods of Monte Carlo sampling of output parameters(MC) and Maximum Likelihood Estimation (MLE). Inverse Uncertainty Quantification (IUQ) is the process of how to best estimate the values of the input parameters in a simulation, and the uncertainty of said estimation, given a measurement of the output parameters. LÄS MER

  7. 5. Stochastic Settlement Model Including Creep Effects : Simulation of Groundwater Induced Subsidence

    Master-uppsats, KTH/Hållbar utveckling, miljövetenskap och teknik

    Författare :Pierre Wikby; Ragnar Andersson; [2020]
    Nyckelord :creep settlement; secondary compression; geotechnical uncertainty; EMBANKCO; groundwater drawdown; time-dependent settlement model; krypsättningar; Sekundärkompression; geoteknisk osäkerhet; EMBANKCO; grundvattensänkning; tidsberoende sättningsmodell;

    Sammanfattning : When underground openings are constructed, groundwater inflow can occur, which might lead to ground settlements, namely in clay. In these types of construction projects, it is beneficial to be able to quantify risks related to these settlements. A framework developed by Sundell et al. (2019, Risk Analysis, Vol. LÄS MER