Assessing a Bayesian Embedding Approach to Circular Regression Models
Research output: Contribution to journal › Journal article › Research › peer-review
Standard
Assessing a Bayesian Embedding Approach to Circular Regression Models. / Cremers, Jolien; Mainhard, Tim; Klugkist, Irene.
In: Methodology, Vol. 14, No. 2, 2018, p. 69-81.Research output: Contribution to journal › Journal article › Research › peer-review
Harvard
Cremers, J, Mainhard, T & Klugkist, I 2018, 'Assessing a Bayesian Embedding Approach to Circular Regression Models', Methodology, vol. 14, no. 2, pp. 69-81. https://doi.org/10.1027/1614-2241/a000147
APA
Cremers, J., Mainhard, T., & Klugkist, I. (2018). Assessing a Bayesian Embedding Approach to Circular Regression Models. Methodology, 14(2), 69-81. https://doi.org/10.1027/1614-2241/a000147
Vancouver
Cremers J, Mainhard T, Klugkist I. Assessing a Bayesian Embedding Approach to Circular Regression Models. Methodology. 2018;14(2):69-81. https://doi.org/10.1027/1614-2241/a000147
Author
Bibtex
@article{1646b8ad8b014043b0fe33afecfec2a1,
title = "Assessing a Bayesian Embedding Approach to Circular Regression Models",
keywords = "circular data, Bayesian methods, regression, interpersonal circumplex",
author = "Jolien Cremers and Tim Mainhard and Irene Klugkist",
year = "2018",
doi = "10.1027/1614-2241/a000147",
language = "English",
volume = "14",
pages = "69--81",
journal = "Methodology",
issn = "1614-1881",
publisher = "Hogrefe Publishing",
number = "2",
}
RIS
TY - JOUR
T1 - Assessing a Bayesian Embedding Approach to Circular Regression Models
AU - Cremers, Jolien
AU - Mainhard, Tim
AU - Klugkist, Irene
PY - 2018
Y1 - 2018
KW - circular data
KW - Bayesian methods
KW - regression
KW - interpersonal circumplex
U2 - 10.1027/1614-2241/a000147
DO - 10.1027/1614-2241/a000147
M3 - Journal article
VL - 14
SP - 69
EP - 81
JO - Methodology
JF - Methodology
SN - 1614-1881
IS - 2
ER -
ID: 235470945