Initial coin offerings have recently become one of the most important funding resources for ventures in the blockchain area. However, often ventures do not
Fig. 2. Log marginal likelihood and average coefficients for REN and NREN across a spectrum of prior variance values, ranging from 10,000 to 1. Note: The X-axis represents the prior variance values, while the right Y-axis shows the logarithm of the marginal likelihood, and the left Y-ax...
The regression coefficients express the rate of change in the logit. The logistic regression as an inverse function of logit is expressed as: 𝜋=𝑒𝑥𝛽1+𝑒𝑥𝛽π=exβ1+exβ (3) We use several statistics to evaluate the quality of the model, such as McFadden’s R-squared, ...
where 𝜇𝑞 plays the role of a chemical potential, and 𝑒𝑞(𝑥) is the inverse function of ln𝑞𝑥, i.e., 𝑒𝑥𝑞≡[1+(1−𝑞)𝑥]11−𝑞+, (12) […]+ being equal to […] if […]>0 and zero otherwise; it satisfies 𝑒𝑥𝑞𝑒−𝑥2−𝑞=...
where 𝜇𝑞 plays the role of a chemical potential, and 𝑒𝑞(𝑥) is the inverse function of ln𝑞𝑥, i.e., 𝑒𝑥𝑞≡[1+(1−𝑞)𝑥]11−𝑞+, (12) […]+ being equal to […] if […]>0 and zero otherwise; it satisfies 𝑒𝑥𝑞𝑒−𝑥2−𝑞=...
and represents decelerated expansion ( q = 1 ). The SSS c s 2 = 1 / 3 . The eigenvalues of the Jacobian matrix at this point are λ 1 = 1 and λ 2 = − 4 α , indicating that this point acts as a past attractor if α < 0 and as a saddle point for other values. For...
and represents decelerated expansion ( q = 1 ). The SSS c s 2 = 1 / 3 . The eigenvalues of the Jacobian matrix at this point are λ 1 = 1 and λ 2 = − 4 α , indicating that this point acts as a past attractor if α < 0 and as a saddle point for other values. For...
and represents decelerated expansion ( q = 1 ). The SSS c s 2 = 1 / 3 . The eigenvalues of the Jacobian matrix at this point are λ 1 = 1 and λ 2 = − 4 α , indicating that this point acts as a past attractor if α < 0 and as a saddle point for other values. For...