The phrase "asserts that the probability" is correct and usable in written English.
You can use it when discussing claims or statements regarding the likelihood of an event or outcome in a formal or academic context.
Example: "The researcher asserts that the probability of success increases with additional training."
Alternatives: "claims that the likelihood" or "states that the chance".
The Zipf law asserts that the probability P i) for the i th most popular document to be requested is inversely proportional to its popularity ranking (i) as shown in (4): P ( i ) = β i α (4).
Interpretation is difficult, since Reichenbach both asserts that the probability of the consequent in a probability implication can be between 0 and 1 inclusive (1925d, 1978, vol. II, p. 89), but then disallows a probability implication because the consequent has probability 0 (p. 92).
Recently, for example, spokespeople have asserted that the probability of more extreme weather events because of climate change does not pose a risk because new nuclear power plants are built to withstand those kinds of weather extremes.
That is, defining (1) P = P ′ ⋅ P ″ = P ′ M - 2 × 2 M + 1 it is implicitly asserted that the probability that a catalyst catalyzes a given reaction is not independent of the probability that it catalyzes another reaction - but why would considering a bigger reaction space make catalysis less likely?
However, while the use of linear combinations allows us to assert that the probabilities of φ ∧ ψ and φ ∧¬ψ are additive by using the formula P + P = P, the formula without linear combinations above only does so if we choose the correct numbers a and b.
The principle of maximum entropy [26] asserts that the least biased probability distribution satisfying a set of constraints is the maximum entropy distribution, and any other distribution would be assuming information not captured by the constraints.
The fact asserts that implies.
Our main result, Theorem 3.1, which is an extension of Theorem 3.1 established in [2], asserts that the SNS is stable in probability if and only if it admits a control Lyapunov function (CLF).
The second assumption of law invariance asserts that the bid price be computable from information on just the probability law of the random cash flow.
One, which differs little from Swinburne's probabilistic approach to natural theology, asserts that the consilience of a number of independent pieces of probable reasoning can result in a probability so high as to be negligibly different from certainty.
Theorem 3.1 asserts that the disease-free equilibrium is almost surely exponentially stable, and the disease will die out with probability one (see Figure 2).
