Essays about: "Bayesian approach"
Showing result 1 - 5 of 138 essays containing the words Bayesian approach.
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1. Modelling the Exchange Rate: Evidence from the Impacts of Quantitative Easing in Sweden
University essay from Handelshögskolan i Stockholm/Institutionen för nationalekonomiAbstract : Quantitative easing, the unconventional monetary policy measure used by many central banks to combat low inflation when interest rates are at the lower bound, has shown to be an effective tool for depreciating the domestic currency. Although the exchange rate is of particular importance in a small open economy as it directly impacts inflation dynamics,trade competitiveness and plays a substantial role in shaping monetary policy, few papers have investigated how the depreciating effect of QE to the exchange rate works. READ MORE
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2. NO TIME TO PLAY: THE EFFECT OF NEXT GENERATION EU FUNDS ON THE CITIZENS’ IMAGE OF THE EUROPEAN UNION A Bayesian approach
University essay from Göteborgs universitet/Statsvetenskapliga institutionenAbstract : The Covid-19 pandemic put the economic and political stability of the European Union to a tremendous test. Only a decade after the start of the Euro Crisis, the EU had to face a new challenge of unprecedented proportions and a wave of discontent potentially threatening its legitimacy. READ MORE
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3. Spatio-temporal analysis of COVID-19 in Västra Götaland, Sweden
University essay from Göteborgs universitet/Institutionen för matematiska vetenskaperAbstract : Spatio-temporal analysis of COVID-19 data with the two different statistical approaches is the main objective of this thesis. The first classical approach, the Endemic-Epidemic framework (Held et al., 2005) is a class of multivariate time-series models for the incidence counts, obtained from the surveillance systems. READ MORE
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4. Parameter Inference for Stochastic Models of Gene Expression in Eukaryotic Cells
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : Simulation models are often used to study a system or phenomenon. However, before a simulation model can be used, its parameter needs to be fit to mimic observed data. This is called the parameter inference problem. READ MORE
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5. Branching Out with Mixtures: Phylogenetic Inference That’s Not Afraid of a Little Uncertainty
University essay from KTH/Matematisk statistikAbstract : 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. READ MORE
