S. Muff

Bayesian marker-based principal component ridgeregression - a flexible multipurpose framework forquantitative genetics in wild study systems

This paper introduces a Bayesian marker-based principal component ridge regression framework for estimating quantitative genetic parameters in wild study systems, showing efficient estimation of additive genetic variance and accurate breeding value prediction.

Accounting for unobserved spatial variation in step selection analyses of animal movement via spatial random effects

This paper extends step selection analysis for animal movement by incorporating spatial random effects to account for spatial correlation, improving inference and prediction in wolverine tracking data.

Genomic estimation of quantitative genetic parameters in wild admixed populations

The paper introduces a genomic method to estimate quantitative genetic parameters in wild admixed populations without pedigrees, showing it works well in house sparrows.

The simulation extrapolation technique meets ecology and evolution: A general and intuitive method to account for measurement error

This paper introduces PSIMEX, a method to correct measurement error in pedigrees using simulation extrapolation, showing improved accuracy in estimating genetic parameters like inbreeding depression and heritability.

Accounting for individual-specific variation in habitat-selection studies: Efficient estimation of mixed-effects models using Bayesian or frequentist computation

This paper develops efficient methods for fitting mixed-effects models in habitat-selection studies using Bayesian and frequentist approaches, demonstrating their effectiveness with real and simulated data.

Animal models with group-specific additive genetic variances: extending genetic group models

This paper extends genetic group models in animal models to estimate group-specific additive genetic variances, showing segregation variances are negligible in empirical examples.

Heritability, selection, and the response to selection in the presence of phenotypic measurement error: effects, cures, and the role of repeated measurements

The paper examines how phenotypic measurement error affects quantitative genetic parameters and proposes using repeated measurements to correct biases in heritability and selection estimates.