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Gaussian Process-Based Bayesian Nonparametric Inference of Population Size Trajectories from Gene Genealogies

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  • Julia A. Palacios
  • Vladimir N. Minin

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  • Julia A. Palacios & Vladimir N. Minin, 2013. "Gaussian Process-Based Bayesian Nonparametric Inference of Population Size Trajectories from Gene Genealogies," Biometrics, The International Biometric Society, vol. 69(1), pages 8-18, March.
    • Handle: RePEc:bla:biomet:v:69:y:2013:i:1:p:8-18
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    File URL: http://hdl.handle.net/10.1111/biom.12003
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    References listed on IDEAS

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    1. Peter Diggle, 1985. "A Kernel Method for Smoothing Point Process Data," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 34(2), pages 138-147, June.
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    Cited by:

    1. Lorenzo Cappello & Swarnadip Ghosh & Julia A. Palacios, 2020. "Discussion on “Horseshoe‐based Bayesian nonparametric estimation of effective population size trajectories” by James R. Faulkner, Andrew F. Magee, Beth Shapiro, and Vladimir N. Minin," Biometrics, The International Biometric Society, vol. 76(3), pages 691-694, September.
    2. James R. Faulkner & Andrew F. Magee & Beth Shapiro & Vladimir N. Minin, 2020. "Horseshoe‐based Bayesian nonparametric estimation of effective population size trajectories," Biometrics, The International Biometric Society, vol. 76(3), pages 677-690, September.
    3. Michael D Karcher & Julia A Palacios & Trevor Bedford & Marc A Suchard & Vladimir N Minin, 2016. "Quantifying and Mitigating the Effect of Preferential Sampling on Phylodynamic Inference," PLOS Computational Biology, Public Library of Science, vol. 12(3), pages 1-19, March.
    4. Ponciano, José Miguel, 2018. "A parametric interpretation of Bayesian Nonparametric Inference from Gene Genealogies: Linking ecological, population genetics and evolutionary processes," Theoretical Population Biology, Elsevier, vol. 122(C), pages 128-136.

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