Extending Bayesian analysis of circular data to comparison of multiple groups

Autor: Mulder, Kees Tim, Klugkist, Irene

Circular data are data measured in angles and occur in a variety of scientific disciplines. Bayesian methods promise to allow for flexible analysis of circular data. Three existing MCMC methods (Gibbs, Metropolis-Hastings, and Rejection) for a single

Externí odkaz: http://arxiv.org/abs/1505.02556

Ensuring anonymity in survey panel research

Autor: Mulder, Kees T.

In survey panel research, anonymity of the participants is of great importance, as it must be ensured to prevent negative effects of participation as well as to maintain trust that the sensitive data that respondents provide is handled with care. Mea

Externí odkaz: http://arxiv.org/abs/1404.1808

Circular interpretation of regression coefficients.

Autor: Cremers, Jolien¹ j.cremers@uu.nl, Mulder, Kees Tim¹, Klugkist, Irene^1,2

Publikováno v: British Journal of Mathematical & Statistical Psychology. Feb2018, Vol. 71 Issue 1, p75-95. 21p.

Bayesian inference for mixtures of von Mises distributions using reversible jump MCMC sampler

Autor: Mulder, Kees, Jongsma, Pieter, Klugkist, Irene, Leerstoel Klugkist, Methodology and statistics for the behavioural and social sciences

Publikováno v: Journal of Statistical Computation and Simulation, 90(9), 1539. Taylor and Francis Ltd.

Circular data are encountered in a variety of fields. A dataset on music listening behaviour throughout the day motivates development of models for multi-modal circular data where the number of modes is not known a priori. To fit a mixture model with

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0d9a8191ce687c7ee8bd7ac87084b8fd
https://dspace.library.uu.nl/handle/1874/409682

Circular interpretation of regression coefficients

Autor: Cremers, Jolien, Mulder, Kees Tim, Klugkist, Irene, Leerstoel Klugkist, Methodology and statistics for the behavioural and social sciences

Publikováno v: British Journal of Mathematical and Statistical Psychology, 71(1), 75. NLM (Medline)
The British Journal of Mathematical and Statistical Psychology
British journal of mathematical and statistical psychology, 71(1), 75-95. Wiley-Blackwell

The interpretation of the effect of predictors in projected normal regression models is not straight‐forward. The main aim of this paper is to make this interpretation easier such that these models can be employed more readily by social scientific

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::318f384a802963156c3ee2559c8d78b8
https://doi.org/10.1111/bmsp.12108