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) θD1,θD2∼B e t a(1,1)×2×U(0,0.01) ζD1∼U(0,1) ζD2∼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) θD1∼E x p(m e a n=0.005) θD2∼E x p(m e a n=0.005) |
ζD1∼B e t a(5,1) ζD2∼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) θD1∼E x p(m e a n=0.005) |
θD2∼E x p(m e a n=0.005) ζD1∼B e t a(5,1) ζD2∼B e t a(5,1) | |
| 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) θD1 ∼E x p(m e a n=0.005) |
θD2 ∼E x p(m e a n=0.005) ζD1∼B e t a(5,1) ζD2∼B e t a(5,1) | |
| 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 =θD1=θD2∼E x p(m e a n=0.005) ζD1=ζD2=1.0 |
| 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) θD1=θD2∼E x p(m e a n=0.005) |
ζD1=ζD2=1.0 |