Assessing a Bayesian Embedding Approach to Circular Regression Models

Jolien Cremers, Tim Mainhard, Irene Klugkist

Research output: Contribution to journal › Journal article › Research › peer-review

4 Citations (Scopus)

52 Downloads (Pure)

Keywords

@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",

}

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

SN - 1614-1881

VL - 14

SP - 69

EP - 81

JO - Methodology

JF - Methodology

IS - 2

ER -