Laplace–Bayes estimator
in probability theory, the estimator (𝑠+1)∕(𝑛+2) for the probability of success of the next run of an experiment which one has repeated 𝑛 times with 𝑠 successes
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Laplace–Bayes estimator
Summary
Laplace–Bayes estimator is an estimator[1]. It draws 73 Wikipedia views per month (estimator category, ranking #3 of 8).[2]
Key Facts
- Laplace–Bayes estimator's instance of is recorded as estimator[3].
- Laplace–Bayes estimator's Freebase ID is recorded as /m/03cyfr[4].
- Laplace–Bayes estimator's defining formula is recorded as \Pr(X_{n+1}=1|X_1+\dotsb+X_n=s)=\frac{s+1}{n+2}[5].
- Laplace–Bayes estimator's maintained by WikiProject is recorded as WikiProject Mathematics[6].
- Laplace–Bayes estimator's Microsoft Academic ID is recorded as 177600075[7].
Why It Matters
Laplace–Bayes estimator draws 73 Wikipedia views per month (estimator category, ranking #3 of 8).[2] It is known by 6 alternative names across languages and contexts.[8]