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Justyna Jupowicz-Kozak

CEO of Professional Science Editing for Scientists @ prosciediting.com

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a marginal probability

Grammar usage guide and real-world examples

USAGE SUMMARY

The phrase "a marginal probability" is correct and usable in written English.
It can be used in contexts related to statistics, probability theory, or data analysis when discussing the likelihood of a single event occurring without regard to other events. Example: "In this study, we calculated a marginal probability to assess the likelihood of success for each individual treatment option."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

14 human-written examples

The choice of nest is a marginal probability, also called the upper model.

Here P1(b) is a marginal probability for a single fixed symbol to have tally b.

Belief propagation (BP) is a decoding algorithm that calculates an estimate of a marginal probability by exploiting factorization to reduce computational complexity.

A domain ({mathcal{D}}) is defined by two parts, a feature space ({mathcal{X}}) and a marginal probability distribution P X), where ({text{X}} = left{ {{text{x}}_{1},ldotss,{text{x}}}_{text{n}} } right} in {mathcal{X}}).

Thrun showed that the importance factor in Eq. (2) is interpreted as a set of particles, (w^{(i)}_{t},) weighted by observation (z_{1 t}.) The normalizer is omitted in the weight of importance, (w^{(i)}_{t},) as the weight of importance is a marginal probability [23] given by: begin{aligned} w^{(i)}_{t} ~=~ frac{text {Target distribution}}{text {Proposal distribution}}.

Ancestral states with a marginal probability ≥ 0.95 were considered resolved with statistical significance.

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Human-verified similar examples from authoritative sources

Similar Expressions

46 human-written examples

As explained throughout Section 4.2, an OIA is an evaluated marginal probability of impact of a node X given observed shock events (vec {se}_{o}), i.e., (P(^ x|vec {se}_{o})).

The inference procedure produces a posterior marginal probability mass function over nucleotides at each position of the UA.

The HKY model has a higher marginal probability than the HKY × 3 triplet model, indicating that not all indels start and end between codons.

Let ({X_{n}, ngeq1}) be a sequence of random variables with an unknown marginal probability density function (f(x)) and distribution function (F x)).

Individuals are allocated to a class according to a non-parametric marginal probability.

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Expert writing Tips

Best practice

In statistical reporting, always specify the statistical model or method used to derive "a marginal probability".

Common error

Avoid using "a marginal probability" when a conditional probability is more appropriate. A marginal probability refers to the probability of an event irrespective of other events, whereas a conditional probability considers the dependency on another event.

Antonio Rotolo, PhD - Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Antonio Rotolo, PhD

Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Source & Trust

82%

Authority and reliability

4.3/5

Expert rating

Real-world application tested

Linguistic Context

The phrase "a marginal probability" functions as a noun phrase in probability theory and statistics. It identifies a specific type of probability: the probability of an event occurring irrespective of the occurrence of other events. Ludwig AI confirms its usage in scientific contexts.

Expression frequency: Common

Frequent in

Science

100%

Less common in

News & Media

0%

Formal & Business

0%

Encyclopedias

0%

Ludwig's WRAP-UP

In summary, the phrase "a marginal probability" is a grammatically correct and frequently used term, particularly in scientific and academic writing, to denote the probability of a single event occurring independently of other events. Ludwig AI confirms that it is most often used in science related articles. While grammatically sound, it's crucial to use it accurately, especially when differentiating it from conditional probabilities. Understanding its nuances and using it in appropriate contexts, with well-defined variables, is essential for clear and accurate scientific communication.

FAQs

How is "a marginal probability" used in statistics?

In statistics, "a marginal probability" refers to the probability of a single event occurring without considering any other events. It's often used as a building block in more complex probability calculations, such as conditional probabilities.

What's the difference between "a marginal probability" and "a conditional probability"?

"A marginal probability" refers to the probability of an event occurring regardless of any other events. In contrast, "a conditional probability" is the probability of an event occurring given that another event has already occurred. Therefore, they address different aspects of probabilistic relationships.

In what contexts is it appropriate to use "a marginal probability"?

It is appropriate to use "a marginal probability" when you want to know the standalone likelihood of an event. For example, in medical research, you might calculate the marginal probability of a patient responding positively to a treatment regardless of other factors.

What are some alternatives to using the phrase "a marginal probability"?

Depending on the context, you can use alternatives such as "a low probability", "a slight likelihood", or "a small chance". The choice depends on the specific nuance you want to convey.

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Most frequent sentences: