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The atom-type probability for these moieties is taken as the logarithmic average of the individual probabilities.
When two or more events are independent, the probability of their joint occurrence is the product of their individual probabilities.
The joint probability of any particular set of global controls is low, as the individual probabilities are < 1, and the probability of any set of local, contingent controls is even lower.
When those assumptions are implemented in a formal quantum model (QEMc), they predict that episodic memory will violate the additive law of probability: If memory is tested for a partition of an item's possible episodic states, the individual probabilities of remembering the item as belonging to each state must sum to more than 1.
Expected probability is a weighted average of all individual probabilities.
But the individual probabilities of the beliefs it contains are what's at issue.
We eliminate individual probabilities that are too weak ((forall iin [d],lambdaa _i < 0.01)).
In further steps, a very important question arises in the context of scenarios: How are the individual probabilities handled to get a scenario overall probability?
Depending on the set of failed components in the state π, the individual probabilities Prob(x i , i = 1 , …N can be calculated using Table 1.
In our analysis, the probabilities for the classes 10-111) and (12-15) were obtained by adding the corresponding individual probabilities in each class.
We analyze micro data from the March Current Population Surveys12 (CPS) for the period 1995-2011 to estimate individual probabilities of being in couple, being married, and cohabitation.
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