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  1. What is the difference between "likelihood" and "probability"?

    Mar 5, 2012 · The wikipedia page claims that likelihood and probability are distinct concepts. In non-technical parlance, "likelihood" is usually a synonym for "probability," but in statistical …

  2. What is likelihood actually? - Cross Validated

    Mar 12, 2023 · What the function returns, is the likelihood for the parameters passed as arguments. If you maximize this function, the result would be a maximum likelihood estimate …

  3. What is the conceptual difference between posterior and …

    Oct 3, 2019 · 2 To put simply, likelihood is "the likelihood of $\theta$ having generated $\mathcal {D}$ " and posterior is essentially "the likelihood of $\theta$ having generated $\mathcal {D}$ " …

  4. Confusion about concept of likelihood vs. probability

    Sep 27, 2015 · Likelihood is simply an "inverse" concept with respect to conditional probability. However, there seems to be something of a disingenuous sleight of hand here: on a purely …

  5. Maximum Likelihood Estimation (MLE) in layman terms

    Feb 4, 2018 · Could anyone explain to me in detail about maximum likelihood estimation (MLE) in layman's terms? I would like to know the underlying concept before going into mathematical …

  6. How to calculate the likelihood function - Cross Validated

    Jan 10, 2015 · My question is, how do I determine the likelihood function? I looked up the pdf of the exponential distribution, but it's different. So is the likelihood function always given to me in …

  7. Why do people use $\\mathcal{L}(\\theta \\mid x)$ for likelihood ...

    Jun 12, 2017 · Remember that likelihood is a relative concept and is only defined up to a constant of proportionality so strictly speaking $\mathcal {L} (\theta \mid x) \propto P (x \mid\theta)$.

  8. r - Interpreting log likelihood - Cross Validated

    May 26, 2016 · The log-likelihood is the summation of negative numbers, which doesn't overflow except in pathological cases. Multiplying by -2 (and the 2 comes from Akaike and linear …

  9. Why is everything based on likelihoods even though likelihoods …

    Feb 18, 2024 · Even though the correct likelihood (i.e. 5,5) is bigger than the incorrect likelihood (i.e. 6,6), both are still so small! So how come in statistics, everything is based on likelihoods …

  10. Theoretical motivation for using log-likelihood vs likelihood

    Jul 6, 2017 · I'm trying to understand at a deeper level the ubiquity of log-likelihood (and perhaps more generally log-probability) in statistics and probability theory. Log-probabilities show up all …