Essays about: "Bayesiansk inferens"

Showing result 1 - 5 of 10 essays containing the words Bayesiansk inferens.

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

    University essay from KTH/Matematisk statistik

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

    Abstract : 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

  3. 2. Optimization and Bayesian Modeling of Road Distance for Inventory of Potholes in Gävle Municipality

    University essay from Stockholms universitet/Statistiska institutionen

    Author : Timothy Rafael Lindblom; Oskar Tollin; [2022]
    Keywords : Traveling salesman problem; Bayesian inference; Simulated annealing; Nearest neighbour algorithm; Markov Chain Monte Carlo; MCMC; Potholes; Haversine formula; Metropolis-Hastings; Posterior predictive distribution; Handelsresande problemet; bayesiansk inferens; simulerad anlöpning; nearest neighbour algorithm; Markov Chain Monte Carlo; MCMC; potthål; storcirkelavstånd; Metropolis-Hastings; posterior predictive distribution;

    Abstract : Time management and distance evaluation have long been a difficult task for workers and companies. This thesis studies 6712 pothole coordinates in Gävle municipality, and evaluates the minimal total road distance needed to visit each pothole once, and return to an initial pothole. READ MORE

  4. 3. Causal Inference on Tactical Simulations using Bayesian Structure Learning

    University essay from Linköpings universitet/Tillämpad matematik; Linköpings universitet/Tekniska fakulteten

    Author : Karl Lagerkvist Blomqvist; [2022]
    Keywords : Causal Inference; Bayesian Structure Learning; Do-Calculus; Tactical Simulations; Kausal Inferens; Bayesiansk Strukturinlärning; Do-Calculus; Taktiska Simuleringar;

    Abstract : This thesis explores the possibility of using Bayesian Structure Learning and Do-Calculus to perform causal inference on data from tactical combat simulations provided by Saab. A four-step approach is considered whose first step is to find a Bayesian Network from the data using Bayesian Structure Learning and Probability Distribution Fitting. READ MORE

  5. 4. Inverse Uncertainty Quantification for Sounding Rocket Dispersion

    University essay from KTH/Matematik (Avd.)

    Author : Tove Ågren; [2022]
    Keywords : Uncertainty quantification; Bayesian inference; Rocket dispersion; Neural networks; Markov Chain Monte Carlo.; Osäkerhetskvantifiering; Bayesiansk inferens; Raketspridning; Neurala nätverk; Markovkedje-Monte Carlo;

    Abstract : Sounding rocket impact points are subject to dispersion due to uncertainties in simulation model parameters and perturbations of the rocket trajectory during flight. Estimating the area of dispersion assumes that associated model uncertainties and magnitude of perturbations have already been inferred. READ MORE

  6. 5. Applying Model Selection on Ligand-Target Binding Kinetic Analysis

    University essay from KTH/Proteinvetenskap

    Author : Klara Djurberg; [2021]
    Keywords : LigandTracer; kinetic models; Rituximab; Bayesian inference; Bayesian model selection; LigandTracer; interaktionsmodeller; Rituximab; Bayesiansk inferens; modellval;

    Abstract : The time-course of interaction formation or breaking can be studied using LigandTracer, and the data obtained from an experiment can be analyzed using a model of ligand-target binding kinetics. There are different kinetic models, and the choice of model is currently motivated by knowledge about the interaction, which is problematic when the knowledge about the interaction is unsatisfactory. READ MORE