Maximum Likelihood and Bayes Modal Ability Estimation in Two-Parametric IRT Models: Derivations and Implementation Norman Rose Institute of Psychology Friedrich Schiller University Jena

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Statistics Statistical theory Estimation theory Bayesian statistics M-estimators Maximum likelihood estimation Xi Bayes estimator Likelihood function Maximum a posteriori estimation		Maximum Likelihood and Bayes Modal Ability Estimation in Two-Parametric IRT Models: Derivations and Implementation Norman Rose Institute of Psychology Friedrich Schiller University Jena Add to Reading List Source URL: www.kompetenztest.de Download Document from Source Website File Size: 171,95 KB Share Document on Facebook

	Maximum Likelihood and Bayes Modal Ability Estimation in Two-Parametric IRT Models: Derivations and Implementation Norman Rose Institute of Psychology Friedrich Schiller University Jena DocID: 1r18B - View Document
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	EFFICIENT MONTE CARLO OPTIMIZATION FOR MULTI-LABEL CLASSIFIER CHAINS Jesse Read, Luca Martino∗ David Luengo∗ Dept. of Signal Theory and Communications DocID: 1oZnj - View Document
	EFFICIENT MONTE CARLO OPTIMIZATION FOR MULTI-LABEL CLASSIFIER CHAINS Jesse Read, Luca Martino∗ David Luengo∗ Dept. of Signal Theory and Communications DocID: 1omPd - View Document
	IMU Preintegration on Manifold for Efficient Visual-Inertial Maximum-a-Posteriori Estimation Christian Forster∗ , Luca Carlone† , Frank Dellaert† , and Davide Scaramuzza∗ ∗ Robotics and Perception Group, Unive DocID: 1ogyN - View Document