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Let ( Ω, F, P ) be a fixed probability space.
Let ((Omega, mathcal{F}, P)) be a fixed probability space.
Let (Omega= (Omega,mathcal{F},mathbb{P})) be a fixed probability space.
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One generation of reproduction consisted of the following: For each "R" organism, a uniform random number between 0 and 1 was chosen, and if it was less than a fixed probability p, the initial fecundity was multiplied by r, the risk reward factor (>1); otherwise it was multiplied by (1−rp)/(1−p) which is less than 1.
Random network is generated according to Erdős Rényi (ER) model; that is, each tie has a fixed probability of being present (Prob-ER), independently of the other ties.
In the first scenario, at each locus, alleles at the founder population were sampled with a fixed probability value of p = 0.5.
Each bit of the population is randomly mutated with a fixed probability.
Note that both models differ from a simple binomial model, where each entry of A is mutated independently with a fixed probability.
To simulate surveillance datasets with uniform under-counting of data, it was assumed that each secondary case can be missed by surveillance with a fixed probability pu.
Earlier work has shown that consensus group decisions based upon the public information available within the group are more likely to be correct than decisions based upon personal information alone, given that each individual in a group has a fixed probability of being correct.
We model assortative mating by taking α to be a random variable rather than a fixed probability, representing the fact that individuals from different subpopulations of C have different priors on their A ancestry.
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