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https://academic.oup.com/mbe/article/21/1/188/1114781
Jan 01, 2004 · Branch support may then be assessed secondarily using the bootstrap (Felsenstein 1985) or jackknife (Farris et al. 1996). In contrast, Bayesian analyses estimate the posterior probability of each clade based on the frequency at which that clade is resolved among sampled trees once stationary log-likelihood values have been reached.Cited by: 430
https://www.mathworks.com/help/stats/classificationsvm.fitposterior.html
ScoreSVMModel = fitPosterior(SVMModel) returns a trained support vector machine (SVM) classifier ScoreSVMModel containing the optimal score-to-posterior-probability transformation function for two-class learning. For more details, see Algorithms.
https://www.mathworks.com/help/stats/fitsvmposterior.html
ScoreSVMModel = fitSVMPosterior(SVMModel) returns ScoreSVMModel, which is a trained, support vector machine (SVM) classifier containing the optimal score-to-posterior-probability transformation function for two-class learning.. The software fits the appropriate score-to-posterior-probability transformation function using the SVM classifier SVMModel, and by cross validation using the stored ...
https://support.minitab.com/en-us/minitab/18/help-and-how-to/modeling-statistics/multivariate/supporting-topics/discriminant-analysis/what-are-posterior-and-prior-probabilities/
A posterior probability is the probability of assigning observations to groups given the data. A prior probability is the probability that an observation will fall into a group before you collect the data. For example, if you are classifying the buyers of a specific car, you might already know that 60% of purchasers are male and 40% are female.
https://en.wikipedia.org/wiki/Predictive_probability_of_success
Predictive probability of success (PPOS) is a statistics concept commonly used in the pharmaceutical industry including by health authorities to support decision making. In clinical trials, PPOS is the probability of observing a success in the future based on existing data. …
https://www.sciencedirect.com/science/article/pii/S0167198718309486
Soil quality is a significant but complicated issue. To more reliably and objectively assess this issue, we used a posterior probability support vector machine model (SVM), a method with fuzzy characteristics and robustness, to assign soil a quality grade based on concentrations of potentially toxic elements (PTEs) and fertilizers.Cited by: 1
https://www.investopedia.com/terms/p/posterior-probability.asp
A posterior probability, in Bayesian statistics, is the revised or updated probability of an event occurring after taking into consideration new information.
https://notendur.hi.is/steinng/cimca05.pdf
Automatic Sleep Staging using Support Vector Machines with Posterior Probability Estimates Steinn Gudmundsson Dept. of Computer Science University of Iceland Reykjavik, Iceland Thomas Philip Runarsson Science Institute University of Iceland Reykjavik, Iceland E-mail: [email protected] Sven Sigurdsson Dept. of Computer Science University of Iceland ...
https://ieeexplore.ieee.org/document/1528532/
Abstract: This paper proposes a complete framework of posterior probability support vector machines (PPSVMs) for weighted training samples using modified concepts of risks, linear separability, margin, and optimal hyperplane. Within this framework, a new optimization problem for unbalanced classification problems is formulated and a new concept of support vectors established.Cited by: 131
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