Bayesian inference for fitting cardiac models to experiments: estimating parameter distributions using Hamiltonian Monte Carlo and approximate Bayesian computation

被引:0
|
作者
Alejandro Nieto Ramos
Flavio H. Fenton
Elizabeth M. Cherry
机构
[1] Rochester Institute of Technology,School of Mathematical Sciences
[2] Cleveland Clinic,Epilepsy Center, Neurological Institute
[3] Georgia Institute of Technology,School of Physics
[4] Georgia Institute of Technology,School of Computational Science and Engineering
关键词
Cardiac action potential; Mitchell-Schaeffer model; Fenton-Karma model; Alternans; Statistical computing;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
页码:75 / 95
页数:20
相关论文
共 50 条
  • [41] Conditional density estimation using population Monte Carlo based approximate Bayesian computation
    Afzaal, Faiza
    Ilyas, Maryam
    [J]. HACETTEPE JOURNAL OF MATHEMATICS AND STATISTICS, 2023, 52 (04): : 1120 - 1134
  • [42] On sequential Monte Carlo, partial rejection control and approximate Bayesian computation
    G. W. Peters
    Y. Fan
    S. A. Sisson
    [J]. Statistics and Computing, 2012, 22 : 1209 - 1222
  • [43] Improving Approximate Bayesian Computation via Quasi-Monte Carlo
    Buchholz, Alexander
    Chopin, Nicolas
    [J]. JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS, 2019, 28 (01) : 205 - 219
  • [44] On sequential Monte Carlo, partial rejection control and approximate Bayesian computation
    Peters, G. W.
    Fan, Y.
    Sisson, S. A.
    [J]. STATISTICS AND COMPUTING, 2012, 22 (06) : 1209 - 1222
  • [45] Multifidelity multilevel Monte Carlo to accelerate approximate Bayesian parameter inference for partially observed stochastic processes
    Warne, David J.
    Prescott, Thomas P.
    Baker, Ruth E.
    Simpson, Matthew J.
    [J]. JOURNAL OF COMPUTATIONAL PHYSICS, 2022, 469
  • [46] Coupling stochastic EM and approximate Bayesian computation for parameter inference in state-space models
    Umberto Picchini
    Adeline Samson
    [J]. Computational Statistics, 2018, 33 : 179 - 212
  • [47] Coupling stochastic EM and approximate Bayesian computation for parameter inference in state-space models
    Picchini, Umberto
    Samson, Adeline
    [J]. COMPUTATIONAL STATISTICS, 2018, 33 (01) : 179 - 212
  • [48] Estimating species trees using approximate Bayesian computation
    Fan, Helen Hang
    Kubatko, Laura S.
    [J]. MOLECULAR PHYLOGENETICS AND EVOLUTION, 2011, 59 (02) : 354 - 363
  • [49] On fitting spatio-temporal disease mapping models using approximate Bayesian inference
    Dolores Ugarte, Maria
    Adin, Aritz
    Goicoa, Tomas
    Fernandez Militino, Ana
    [J]. STATISTICAL METHODS IN MEDICAL RESEARCH, 2014, 23 (06) : 507 - 530
  • [50] Bayesian parameter inference for individual-based models using a Particle Markov Chain Monte Carlo method
    Kattwinkel, Mira
    Reichert, Peter
    [J]. ENVIRONMENTAL MODELLING & SOFTWARE, 2017, 87 : 110 - 119