bayes' theorem in English

noun
1
a theorem describing how the conditional probability of each of a set of possible causes for a given observed outcome can be computed from knowledge of the probability of each cause and the conditional probability of the outcome of each cause.
Following Bayes' theorem , the posterior distribution over the parameter space is proportional to the likelihood times the prior distribution.

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Below are sample sentences containing the word "bayes theorem" from the English Dictionary. We can refer to these sentence patterns for sentences in case of finding sample sentences with the word "bayes theorem", or refer to the context using the word "bayes theorem" in the English Dictionary.

1. Bayes' theorem describes relationship between pre test and post test probability.

2. Bayesian inference is therefore just the process of deducing properties about a population or probability distribution from data using Bayes’ theorem

3. Bayesian inference is a method of statistical inference in which Bayes' theorem is used to update the probability for a hypothesis as more evidence or information becomes available

4. These data are necessary to estimate the relative a priori probability of possible carcinomas. Based on Bayes' theorem, the a priori probability can then be used to calculate the diagnostically relevant predictive values for immunostaining results with the chosen markers.

5. On the basis of sequential samples — employing Bayes theorem, laid down in short — the a-priori probabilities can be transformed into a-posteriori probabilities and are used for a new operational decision, that will now be termed as a continuation decision.

6. Bayesian definition is - being, relating to, or involving statistical methods that assign probabilities or distributions to events (such as rain tomorrow) or parameters (such as a population mean) based on experience or best guesses before experimentation and data collection and that apply Bayes' theorem to revise the probabilities and distributions after obtaining experimental data.

7. Naïve Bayes algorithm is a supervised learning algorithm, which is based on Bayes theorem and used for solving classification problems.; It is mainly used in text classification that includes a high-dimensional training dataset.; Naïve Bayes Classifier is one of the simple and most effective Classification algorithms which helps in building the fast machine