2022
DOI: 10.1007/s00362-022-01333-9
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On the circular correlation coefficients for bivariate von Mises distributions on a torus

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Cited by 2 publications
(2 citation statements)
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“…In particular, ρJS,ρFL[1,1]$\rho _{\text{JS}}, \rho _{\text{FL}} \in [-1, 1]$; they are equal to 1 (−1) under perfect positive (negative) toroidal‐linear ( T‐linear ) relationship, and they are 0 under independence, although the reverse implication may not necessarily hold. For the von Mises cosine distribution, both ρJS$\rho _{\text{JS}}$ and ρFL$\rho _{\text{FL}}$ can be written as functions of κ 1 , κ 2 , and κ 3 using partial derivatives of the normalizing constant (Chakraborty and Wong, 2018).…”
Section: Modeling Bivariate Angular Datamentioning
confidence: 99%
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“…In particular, ρJS,ρFL[1,1]$\rho _{\text{JS}}, \rho _{\text{FL}} \in [-1, 1]$; they are equal to 1 (−1) under perfect positive (negative) toroidal‐linear ( T‐linear ) relationship, and they are 0 under independence, although the reverse implication may not necessarily hold. For the von Mises cosine distribution, both ρJS$\rho _{\text{JS}}$ and ρFL$\rho _{\text{FL}}$ can be written as functions of κ 1 , κ 2 , and κ 3 using partial derivatives of the normalizing constant (Chakraborty and Wong, 2018).…”
Section: Modeling Bivariate Angular Datamentioning
confidence: 99%
“…Remark If κ30$\kappa _3 \ge 0$ in (1), then the random angle pair false(θ1,θ2false)$(\theta _1, \theta _2)$ has a nonnegative T‐linear association as measured through ρJS(θ1,θ2)$\rho _{\text{JS}}(\theta _1, \theta _2)$ (Chakraborty and Wong, 2018). …”
Section: Modeling Bivariate Angular Datamentioning
confidence: 99%