Browsing NTNU Open by Author "Schielzeth, Holger"

Now showing items 1-4 of 4

    • Challenges and prospects in genome wide QTL mapping of standing genetic variation in natural populations. 

      Schielzeth, Holger; Husby, Arild (Journal article, 2014)
      A considerable challenge in evolutionary genetics is to understand the genetic mechanisms that facilitate or impede evolutionary adaptation in natural populations. For this, we must understand the genetic loci contributing ...

    • Describing posterior distributions of variance components: Problems and the use of null distributions to aid interpretation 

      Pick, Joel; Kasper, Claudia; Allegue, Hassen; Dingemanse, Niels J.; Dochtermann, Ned A.; Laskowski, Kate L.; Lima, Marcos R.; Schielzeth, Holger; Westneat, David F.; Wright, Jonathan; Araya Ajoy, Yimen Gerardo (Peer reviewed; Journal article, 2023)
      1. Assessing the biological relevance of variance components estimated using Markov chain Monte Carlo (MCMC)-based mixed-effects models is not straightforward. Variance estimates are constrained to be greater than zero and ...

    • Non-autosomal genetic variation in carotenoid coloration 

      Evans, SR; Schielzeth, Holger; Forstmeier, W.; Sheldon, Ben C; Husby, Arild (Journal article; Peer reviewed, 2014)
      Carotenoid-based coloration plays an important role in signaling, is often sexually dimorphic, and is potentially subject to directional and/or sex-specific selection. To understand the evolutionary dynamics of such color ...

    • Robustness of linear mixed-effects models to violations of distributional assumptions 

      Schielzeth, Holger; Dingemanse, Niels J.; Nakagawa, Shinichi; Westneat, David F.; Allegue, Hassen; Teplitsky, Céline; Réale, Denis; Dochtermann, Ned A.; Garamszegi, László Zsolt; Araya-Ajoy, Yimen (Peer reviewed; Journal article, 2020)
      Linear mixed-effects models are powerful tools for analysing complex datasets with repeated or clustered observations, a common data structure in ecology and evolution. Mixed-effects models involve complex fitting procedures ...