first characterize the biases in both network statistics and estimates of network effects under non-random sampling … theoretically and numerically. Sampled network data systematically bias the properties of observed networks and suffer from non …-classical measurement-error problems when applied as regressors. Apart from the sampling rate and the elicitation procedure, these biases …

unique Nash equilibrium that is in mixed strategies, we find that the stable sampling bias is generically non-zero and that … it is highest when the equilibrium is most asymmetric, yet that the stable sampling bias vanishes in the sample size …This paper analyzes an indirect evolutionary model of sampling biases in probability estimates, which combines the …

I examine the sample selection bias in portfolio horse race. Numerous studies propose mean-variance portfolio rules to …