Essays about: "Bayesian statistics"

Showing result 1 - 5 of 43 essays containing the words Bayesian statistics.

  1. 1. 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

  2. 2. 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

  3. 3. Sum-Product Network in the context of missing data

    University essay from KTH/Matematisk statistik

    Author : Pierre Clavier; [2020]
    Keywords : Statistics; Mixture model; Probabilistic Graphical Models; Statistik; Probabilistiska grafiska modeller;

    Abstract : In recent years, the interest in new Deep Learning methods has increased considerably due to their robustness and applications in many fields. However, the lack of interpretability of these models and the lack of theoretical knowledge about them raises many issues. It is in this context that sum product network models have emerged. READ MORE

  4. 4. 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

  5. 5. Overcoming a financial crisis : A study of which factors predicts the impact of a rapid economic change

    University essay from Uppsala universitet/Statistiska institutionen

    Author : Arvid Artman; [2020]
    Keywords : ;

    Abstract : This paper investigates which factors best predict the economic state of a Swedish municipality after the 2008 crisis by constructing a linear model that regresses the change in the unemployment rate on a set of variables. The variables used for the model were from a dataset put together using data from a government service and were selected for the model using Bayesian information criterion. READ MORE