Sökning: "likelihood-free inference"

Hittade 4 uppsatser innehållade orden likelihood-free inference.

  1. 1. Autoencoder-Based Likelihood-Free Parameter Inference of Gene Regulatory Network

    Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Liang Cheng; [2023]
    Nyckelord :;

    Sammanfattning : Likelihood-free parameter inference is a well-known statistical methodology that estimates the posterior distribution of model parameters even in cases where the likelihood function is intractable. The performance of this method is highly correlated with the learning of summary statistics, which capture the key features from the high dimensional data such as time series. LÄS MER

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

    Master-uppsats, KTH/Matematisk statistik

    Författare :Oscar Bergqvist; [2020]
    Nyckelord :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;

    Sammanfattning : 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. LÄS MER

  3. 3. Bayesian Parameterization in the spread of Diseases

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för beräkningsvetenskap

    Författare :Robin Eriksson; [2017]
    Nyckelord :Bayesian Inference; likelihood-free; Markov chain Monte Carlo; Approximate Bayesian Computations; Synthetic likelihood; Epidemiology; disease modeling;

    Sammanfattning : Mathematical and computational epidemiological models are important tools in efforts to combat the spread of infectious diseases. The models can be used to predict further progression of an epidemic and for assessing potential countermeasures to control disease spread. LÄS MER

  4. 4. Likelihood-free inference and approximate Bayesian computation for stochastic modelling

    Master-uppsats, Lunds universitet/Matematisk statistik

    Författare :Oskar Nilsson; [2013]
    Nyckelord :Mathematics and Statistics;

    Sammanfattning : With increasing model complexity, sampling from the posterior distribution in a Bayesian context becomes challenging. The reason might be that the likelihood function is analytically unavailable or computationally costly to evaluate. LÄS MER