Sökning: "Markov -modellering."

Visar resultat 1 - 5 av 409 uppsatser innehållade orden Markov -modellering..

  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. Risk-Averse Multi-Armed Bandit Problem with Multiple Plays

    Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

    Författare :Siri Dahlgren; Nicholas Marriott; [2023-10-23]
    Nyckelord :MAB; Gittins; Markovian bandit; risk-aversion; policy iteration; multiple plays;

    Sammanfattning : This study aims to construct an efficient heuristic, referred to as RA, for a riskaverse Markovian multi-armed bandit problem (MAB) with multiple plays. The RA incorporates risk-aversion and multiple plays by modifying the Gittins index strategy. LÄS MER

  4. 3. Branching Out with Mixtures: Phylogenetic Inference That’s Not Afraid of a Little Uncertainty

    Master-uppsats, KTH/Matematisk statistik

    Författare :Ricky Molén; [2023]
    Nyckelord :Phylogeny; Bayesian analysis; Markov chain Monte Carlo; Variational inference; Mixture of proposal distributions; Fylogeni; Bayesiansk analys; Markov Chain Monte Carlo; Variationsinferens; Mixturer av förslagsfördelningar;

    Sammanfattning : Phylogeny, the study of evolutionary relationships among species and other taxa, plays a crucial role in understanding the history of life. Bayesian analysis using Markov chain Monte Carlo (MCMC) is a widely used approach for inferring phylogenetic trees, but it suffers from slow convergence in higher dimensions and is slow to converge. LÄS MER

  5. 4. Paying the Piper : The Consequences of Including Generic Prices in Reimbursement Decisions for Prescription Pharmaceuticals

    Magister-uppsats, Linköpings universitet/Nationalekonomi; Linköpings universitet/Filosofiska fakulteten

    Författare :Anton Klockhoff; Wilmer Larsson; [2023]
    Nyckelord :pharmaceutical reimbursement; genericization; endogenous pricing; treatment displacement; cost-effectiveness analysis; R D incentives;

    Sammanfattning : Objectives: The Dental and Pharmaceutical Benefits Agency (TLV) is responsible for deciding which prescription pharmaceuticals should be subsidized in Sweden. Cost-effectiveness analyses are fundamental to its decision-making, but future price reductions following patent expiry are excluded from these analyses. LÄS MER

  7. 5. On Predicting Price Volatility from Limit Order Books

    Master-uppsats, Uppsala universitet/Matematiska institutionen

    Författare :Reza Dadfar; [2023]
    Nyckelord :General Compound Hawkes Process; Limit Order Book LOB ; High- Frequency Trading; Price Volatility; Markov Chain.;

    Sammanfattning : Accurate forecasting of stock price movements is crucial for optimizing trade execution and mitigating risk in automated trading environments, especially when leveraging Limit Order Book (LOB) data. However, developing predictive models from LOB data presents substantial challenges due to its inherent complexities and high-frequency nature. LÄS MER