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Everything about Relative likelihood
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In statistics, when selecting a statistical model for given data, the relative likelihood compares the relative plausibilities of different candidate models or of different values of a parameter of a single model. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Relative likelihoodA 5-minute orientation
- Skim a recent paper: Relative Maximum Likelihood updating of ambiguous beliefsInfluential work since 2022
- Pick up a classic book: The Elements of Statistical LearningThe most-reprinted book on the subject
- Read the landmark paper: The Relative Performance of Full Information Maximum Likelihood Estimation for Missing Data in Structural Equation ModelsCited 4,230 times
- Go sideways: Likelihood functionA closely related topic
- Go sideways: Akaike information criterionA closely related topic
📖 Definitions
No dictionary entry for this exact phrase.
🗂️ The subject at a glance
🏆 Landmark papers (most cited)
The Relative Performance of Full Information Maximum Likelihood Estimation for Missing Data in Structural Equation Models
Relative Performance of Categorical Diagonally Weighted Least Squares and Robust Maximum Likelihood Estimation
A method for assessing the relative likelihood of failure of embankment dams by piping
Quasi-likelihood estimation for relative risk regression models
Defining Relative Likelihood in Partially-Ordered Preferential Structures
Relative Supersaturation of 24-Hour Urine and Likelihood of Kidney Stones
The Relative Performance of Targeted Maximum Likelihood Estimators
Familiarity Bias and Belief Reversal in Relative Likelihood Judgment
🆕 Influential since 2022
Relative Maximum Likelihood updating of ambiguous beliefs
Maximum Likelihood Estimation of Relative Clock Skew for Distributed Time Synchronization in Industrial Wireless Sensor Networks
Likelihood ratio interpretation of the relative risk
Relative likelihood ratios for neutral comparisons of statistical tests in simulation studies
Relative likelihood based aggregated dual deep neural network for skin lesion recognition in dermoscopy images
📚 Books worth reading
The Elements of Statistical LearningTrevor Hastie, Robert Tibshirani · 2001
The Conspirators HierarchyJohn Coleman · 1992
Trends and Topics in Computer VisionKiriakos N. Kutulakos · 2012
The Jackknife and BootstrapJun Shao, Dongsheng Tu · 1995
The complete adoption bookLaura Beauvais-Godwin · 1997
The double helix and the law of evidenceDavid H. Kaye · 2009- 📕Theories in social psychologyDerek Chadee · 2011
Statistical methods for drug safetyRobert D. Gibbons · 2016
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
🔗 Related topics
- Likelihood function A likelihood function (often simply called the likelihood) gives the relative merit of various statistical models for describing a data set. Often the…
- Akaike information criterion The Akaike information criterion (AIC) is an estimator of prediction error and thereby relative quality of statistical models for a given set of data.…
- Likelihood principle In statistics, the likelihood principle is the proposition that, given a statistical model, all the evidence in a sample relevant to model parameters is…
- Likelihood-ratio test In statistics, the likelihood-ratio test is a hypothesis test that involves comparing the goodness of fit of two competing statistical models, typically…
- Bayes factor The Bayes factor (BF) is a ratio of two competing statistical models represented by their evidence, and is used to quantify the support for one model over…
- Maximum likelihood estimation In statistics, maximum likelihood estimation (MLE) is a method of estimating the parameters of an assumed probability distribution, given some observed…
- Statistical inference Statistical inference is the process of using data analysis to infer properties of an underlying probability distribution. Inferential statistical analysis…
- Point estimation In statistics, point estimation involves the use of sample data to calculate a single value (known as a point estimate, since it identifies a point rather…