Skip to main content
Log in

Comments on: Modular regression - a Lego system for building structured additive distributional regression models with tensor product interactions

  • Discussion
  • Published:
TEST Aims and scope Submit manuscript

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1

References

  • Henn L, Hodges JS (2014) Multiple local maxima in restricted likelihoods and posterior distributions for mixed linear models. Int Stat Rev 82(1):90–105

    Article  MathSciNet  Google Scholar 

  • McCulloch CE, Searle SR (2001) Generalized, linear, and mixed models, 1st edn. Wiley, New York

    MATH  Google Scholar 

  • Welham SJ, Thompson R (2009) A note on bimodality in the log-likelihood function for penalized spline mixed models. Comput Stat Data Anal 53(4):920–931

    Article  MathSciNet  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Patrick Schnell.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

This comment refers to the invited paper available at: https://doi.org/10.1007/s11749-019-00631-z.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Schnell, P. Comments on: Modular regression - a Lego system for building structured additive distributional regression models with tensor product interactions. TEST 28, 46–51 (2019). https://doi.org/10.1007/s11749-019-00632-y

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11749-019-00632-y

Navigation