From: An improved approximate-Bayesian model-choice method for estimating shared evolutionary history
Model | Priors |
---|---|
M _{ m s B a y e s } | t∼D U{1,…,Y} τ∼U(0,34.64 [ 17.3 M G A]) θ_{ A }∼U(0,0.01) θ_{D1},θ_{D2}∼B e t a(1,1)×2×U(0,0.01) ζ_{D1}∼U(0,1) ζ_{D2}∼U(0,1) |
M _{ U n i f o r m } | t∼D U{a(Y)} τ∼E x p(m e a n=10 [ 5 M G A]) θ_{ A }∼E x p(m e a n=0.005) θ_{D1}∼E x p(m e a n=0.005) θ_{D2}∼E x p(m e a n=0.005) |
ζ_{D1}∼B e t a(5,1) ζ_{D2}∼B e t a(5,1) | |
M _{ D P P } | t∼D P(χ∼G a m m a(1.5,18.1)) τ∼E x p(m e a n=10 [ 5 M G A]) θ_{ A }∼E x p(m e a n=0.005) θ_{D1}∼E x p(m e a n=0.005) |
θ_{D2}∼E x p(m e a n=0.005) ζ_{D1}∼B e t a(5,1) ζ_{D2}∼B e t a(5,1) | |
{\mathbf{M}}_{\mathit{\text{DPP}}}^{\mathit{\text{inform}}} | t∼D P(χ ∼G a m m a(1.5,18.1)) τ ∼E x p(m e a n=6 [ 3 M G A]) θ_{ A } ∼E x p(m e a n=0.005) θ_{D1} ∼E x p(m e a n=0.005) |
θ_{D2} ∼E x p(m e a n=0.005) ζ_{D1}∼B e t a(5,1) ζ_{D2}∼B e t a(5,1) | |
{\mathbf{M}}_{\mathit{\text{DPP}}}^{\mathit{\text{simple}}} | t∼D P(χ∼G a m m a(1.5,18.1)) τ∼E x p(m e a n=10 [ 5 M G A]) θ_{ A }=θ_{D1}=θ_{D2}∼E x p(m e a n=0.005) ζ_{D1}=ζ_{D2}=1.0 |
{\mathbb{M}}_{\mathit{\text{DPP}}} | t∼D P(χ∼G a m m a(1.5,5.0)) τ∼E x p(m e a n=10 [ 5 M G A]) θ_{ A }∼E x p(m e a n=0.005) θ_{D1}=θ_{D2}∼E x p(m e a n=0.005) |
ζ_{D1}=ζ_{D2}=1.0 |