a minimum probability for

USAGE SUMMARY

The phrase "a minimum probability for" is correct and usable in written English.
It can be used in contexts involving statistics, probability theory, or risk assessment where you want to specify the least likelihood of an event occurring. Example: "In this experiment, we established a minimum probability for the occurrence of the rare event."

✓ Grammatically correct

Science

Human-verified similar examples from authoritative sources

Similar Expressions

60 human-written examples

To mitigate the unfairness among the users as well as to avoid the starvation of some users in the network, we can guarantee a minimum persistent probability for each user.

EURASIP Journal on Wireless Communications and Networking

For this purpose, LocARNA allows for matches of base pairs that occur with a given minimum probability in the structure ensembles of the single input sequences.

Algorithms for Molecular Biology

Let us define and as the maximum and minimum probability of an event occurrence, respectively, for at any point within the monitored region.

EURASIP Journal on Wireless Communications and Networking

Another watermarking algorithm based on the WVD [69] does not assume any particular structure for the embedded watermark and offers a theoretical framework for designing the minimum probability of error detector.

EURASIP Journal on Advances in Signal Processing

For example, if the regulatory requirement for a minimum detection probability (to minimize interference to the PU) is given, then it could be assigned to.

EURASIP Journal on Wireless Communications and Networking

Probabilities of 99%and95%5% for the first and second peptide, respectively, were used for protein identification with two peptides, and a minimum of 99% probability for one of three peptides was used for identifications with three peptides.

BMC Medical Genomics

They have defined the 'decision threshold' as a minimum required probability of the disease for allowing initiation of treatment.

BMC Medical Informatics and Decision Making

Raw MaxQuant output files were subjected to the following filtering criteria prior to their inclusion in further bioinformatics analysis: (1) contaminants and reversed matches were removed, ensuring that all identifications were reported with an FDR of <1%; and (2) pY sites were filtered for a minimum localisation probability confidence of 0.75.

Breast Cancer Research

For designing a minimum total probability of error-based receiver, we also assume that two hypotheses H0 and H1 are equally likely [27] such that P0 = P1 = 0.5.

EURASIP Journal on Wireless Communications and Networking

Furthermore, there is a minimum 50% probability of discontinuing ruxolitinib treatment for some reason within 2 3 years, and the efficacy of post-ruxolitinib 'failure' salvage therapies is not well established.

Blood Cancer Journal

For example, for q = 50% we obtain a minimum posterior probability of no survival benefit of around 4.5% (red line).

BMC Medical Research Methodology

Expert writing Tips

Best practice

When setting thresholds, clearly define the context and implications of the "minimum probability" to ensure that all stakeholders understand the risk and potential outcomes.

Common error

Avoid using "minimum probability" when you actually mean average or expected probability. The "minimum probability" represents the lowest possible likelihood, not the typical or expected likelihood.

Linguistic Context

The phrase "a minimum probability for" functions as a modifier specifying a lower limit for a probabilistic event. Based on Ludwig AI, the phrase is grammatically sound and usable.

Expression frequency: Missing

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Ludwig's WRAP-UP

In summary, the phrase "a minimum probability for" is grammatically correct and serves to define a lower threshold for the likelihood of an event. While examples are limited, Ludwig AI confirms its validity. It is commonly found in scientific and technical contexts where precision is essential. When using this phrase, ensure you clearly articulate the context and implications of this threshold.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

a lowest possible probability for

Emphasizes the absolute lowest value, adding a degree of intensity.

a threshold probability for

Focuses on a boundary that must be met or exceeded.

a baseline probability for

Implies a standard or reference point for probability.

a guaranteed minimum probability for

Highlights the assurance that the probability will not fall below a certain level.

a floor probability for

Uses "floor" as a metaphor for the lowest acceptable level of probability.

a lower bound probability for

More technical term for the minimum probability.

a safety net probability for

Suggests protection against probabilities falling too low.

a minimal acceptable probability for

Highlights that the probability is barely satisfactory.

the least probability allowed for

Changes the sentence structure to highlight authorization.

a rock-bottom probability for

Uses a colloquial term to indicate the lowest possible probability.

FAQs

How can I use "a minimum probability for" in a sentence?

You can use "a minimum probability for" when discussing the lowest acceptable chance of an event occurring. For example, "The regulatory requirement specifies "a minimum probability for" detection to minimize interference."

What phrases are similar to "a minimum probability for"?

Similar phrases include "a threshold probability for", "a baseline probability for", or "a lower bound probability for", each carrying a slightly different nuance related to acceptable risk or statistical boundaries.

Is it correct to say "a minimum probability for"?

Yes, it is grammatically correct and used in technical and scientific contexts to define the lowest acceptable likelihood of an event. Ludwig AI confirms this is correct.

What's the difference between "a minimum probability for" and "a maximum probability for"?

"A minimum probability for" refers to the lowest acceptable chance of something happening, while "a maximum probability for" refers to the highest acceptable chance. They represent opposite ends of a probability spectrum.