Essays about: "Bayesiansk Statistik"

Showing result 6 - 10 of 22 essays containing the words Bayesiansk Statistik.

  1. 6. Non-Intrusive Load Monitoring to Assess Retrofitting Work

    University essay from KTH/Matematisk statistik

    Author : Julien Zucchet; [2022]
    Keywords : NILM; retrofitting work assessment; hierarchical Bayesian mixture model; NILM; hierarkisk Bayesiansk blandningsmodell; utvärdering av renoveringsarbetens effektivitet;

    Abstract : Non-intrusive load monitoring (NILM) refers to a set of statistical methods for inferring information about a household from its electricity load curve, without adding any additional sensor. The aim of this master thesis is to adapt NILM techniques for the assessment of the efficiency of retrofitting work to provide a first version of a retrofitting assessment tool. READ MORE

  3. 7. 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

  4. 8. Calibration of Breast Cancer Natural History Models Using Approximate Bayesian Computation

    University essay from KTH/Matematisk statistik

    Author : Oscar Bergqvist; [2020]
    Keywords : Approximate Bayesian Computation; ABC; breast cancer natural history models; random effects; Bayesian statistics; likelihood-free inference; Approximate Bayesian computation; ABC; natural history models för bröstcancer; random effects; bayesiansk statistik; likelihood-fri inferens;

    Abstract : Natural history models for breast cancer describe the unobservable disease progression. These models can either be fitted using likelihood-based estimation to data on individual tumour characteristics, or calibrated to fit statistics at a population level. READ MORE

  5. 9. Optimal Time-Varying Cash Allocation

    University essay from KTH/Matematisk statistik

    Author : David Olanders; [2020]
    Keywords : Statistics; Applied Mathematics; Optimization; Cash Allocation; Network Theory; Mixed Integer Linear Program; Transaction Costs; Branch-and-Cut; Statistik; tillämpad matematik; optimering; kapitalallokering; nätverksteori; Mixed Integer Linear Program; transaktionskostnader; Branch-and-Cut;

    Abstract : A payment is the most fundamental aspect of a trade that involves funds. In recent years, the development of new payment services has accelerated significantly as the world has moved further into the digital era. This transition has led to an increased demand of digital payment solutions that can handle trades across the world. READ MORE

  6. 10. Particle-Based Online Bayesian Learning of Static Parameters with Application to Mixture Models

    University essay from KTH/Matematisk statistik

    Author : Rutger Fuglesang; [2020]
    Keywords : Statistics; applied mathematics; sequential monte carlo; SMC; Statistical inference; Statisk; sekventiell monte carlo; SMC; tillämpad matematik;

    Abstract : This thesis investigates the possibility of using Sequential Monte Carlo methods (SMC) to create an online algorithm to infer properties from a dataset, such as unknown model parameters. Statistical inference from data streams tends to be difficult, and this is particularly the case for parametric models, which will be the focus of this paper. READ MORE