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Journal Abstract Search
308 related items for PubMed ID: 30793299
1. Towards end-to-end likelihood-free inference with convolutional neural networks. Radev ST, Mertens UK, Voss A, Köthe U. Br J Math Stat Psychol; 2020 Feb; 73(1):23-43. PubMed ID: 30793299 [Abstract] [Full Text] [Related]
9. Approximate Bayesian computation scheme for parameter inference and model selection in dynamical systems. Toni T, Welch D, Strelkowa N, Ipsen A, Stumpf MP. J R Soc Interface; 2009 Feb 06; 6(31):187-202. PubMed ID: 19205079 [Abstract] [Full Text] [Related]
12. Neural networks enable efficient and accurate simulation-based inference of evolutionary parameters from adaptation dynamics. Avecilla G, Chuong JN, Li F, Sherlock G, Gresham D, Ram Y. PLoS Biol; 2022 May 06; 20(5):e3001633. PubMed ID: 35622868 [Abstract] [Full Text] [Related]
15. Bayesian parameter inference and model selection by population annealing in systems biology. Murakami Y. PLoS One; 2014 May 06; 9(8):e104057. PubMed ID: 25089832 [Abstract] [Full Text] [Related]
16. Likelihood-free nested sampling for parameter inference of biochemical reaction networks. Mikelson J, Khammash M. PLoS Comput Biol; 2020 Oct 06; 16(10):e1008264. PubMed ID: 33035218 [Abstract] [Full Text] [Related]
17. Bayesian inference based on stationary Fokker-Planck sampling. Berrones A. Neural Comput; 2010 Jun 06; 22(6):1573-96. PubMed ID: 20141472 [Abstract] [Full Text] [Related]