Model	Parameter
Exponential	$k\sim Gamma(1,0.5)$
	$\sigma \sim Gamma(1,0.5)$
Hyperbolic	$k\sim Gamma(1,0.5)$
	$\sigma \sim Gamma(1,0.5)$
Double	$\omega \sim Uniform(0,1)$
Exponential	$\mathrm{\Theta }\sim Gamma(1,0.5)$
	$\delta \sim Gamma(1,0.5)$
	$\sigma \sim Gamma(1,0.5)$
Generalized	$k\sim Gamma(1,0.5)$
Hyperbolic	$s\sim Gamma(1,0.5)$
	$\sigma \sim Gamma(1,0.5)$
Hyperboloid	$k\sim Norma{l}_{+}(0,5)$
	$s\sim Norma{l}_{+}(0,5)$
	$\sigma \sim Norma{l}_{+}(0,5)$
Generalized	$\alpha \sim Gamma(1,0.5)$
Hyperbola	$\mathrm{\Theta }\sim Gamma(1,0.5)$
	$\sigma \sim Gamma(1,0.5)$
Constant	$\alpha \sim Gamma(1,0.5)$
Sensitivity	$\beta \sim Gamma(1,0.5)$
	$\sigma \sim Gamma(1,0.5)$
Additive	$\alpha \sim Uniform(0,1)$
Utility	$\beta \sim Uniform(0,1)$
	$\lambda \sim Gamma(1,0.5)$
	$\sigma \sim Gamma(1,0.5)$
Proportional	$\delta \sim Normal(0,5)$
Difference	$\sigma \sim Gamma(1,0.5)$
ITCH	${\beta }_1\sim Normal(0,5)$
	${\beta }_{xA}\sim Norma{l}_{+}(0,5)$
	${\beta }_{xR}\sim Norma{l}_{+}(0,5)$
	${\beta }_{tA}\sim Norma{l}_{-}(0,5)$
	${\beta }_{tR}\sim Norma{l}_{-}(0,5)$
Tradeoff	$\gamma \sim Gamma(1,0.5)$
	$\tau \sim Gamma(1,0.5)$
	$\mathrm{\Theta }\sim Gamma(1,0.5)$
	$\kappa \sim Gamma(1,0.5)$
	$\alpha \sim Gamma(1,0.5)$
	$𝜖\sim Gamma(1,0.5)$

Note: Normal₊(L,S) represents a truncated normal distribution with mean L, standard deviation S, a lower bound of 0, and no upper bound. Gamma(A,B) represents a gamma distribution with shape A and scale B. Certain models were reparameterized for efficiency reasons and/or in order to enforce parameter constraints. In the double exponential model, β = Θ + δ. In the generalized hyperbola model, the parameter β = Θ × α. For the additive utility and double exponential models, A = L × S and B = (1 − L) × S. For the tradeoff model, 𝜃 = Θ + 1