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Fast Bayesian inference using Laplace approximations in a flexible promotion time cure model based on P-splines

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  • Gressani, Oswaldo
  • Lambert, Philippe

Abstract

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Suggested Citation

  • Gressani, Oswaldo & Lambert, Philippe, 2018. "Fast Bayesian inference using Laplace approximations in a flexible promotion time cure model based on P-splines," LIDAM Reprints ISBA 2018013, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    • Handle: RePEc:aiz:louvar:2018013
    Note: In : Computational Statistics & Data Analysis, vol. 124, no.August 2018, p. 151-167 (2018)
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    Cited by:

    1. Lambert, Philippe, 2021. "Fast Bayesian inference using Laplace approximations in nonparametric double additive location-scale models with right- and interval-censored data," Computational Statistics & Data Analysis, Elsevier, vol. 161(C).
    2. Romero, Eva, 2024. "Fitting complex stochastic volatility models using Laplace approximation," DES - Working Papers. Statistics and Econometrics. WS 43947, Universidad Carlos III de Madrid. Departamento de Estadística.
    3. Philippe Lambert, 2023. "Comments on: Nonparametric estimation in mixture cure models with covariates," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 32(2), pages 506-509, June.
    4. Lambert, Philippe & Gressani, Oswaldo, 2022. "Penalty parameter selection and asymmetry corrections to Laplace approximations in Bayesian P-splines models," LIDAM Discussion Papers ISBA 2022030, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    5. Gressani, Oswaldo & Lambert, Philippe, 2021. "Laplace approximations for fast Bayesian inference in generalized additive models based on P-splines," Computational Statistics & Data Analysis, Elsevier, vol. 154(C).

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