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Maximum a posteriori estimation
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1	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 Language: English Statistics Statistical theory Estimation theory Bayesian statistics M-estimators Maximum likelihood estimation Xi Bayes estimator Likelihood function Maximum a posteriori estimation
2	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 Add to Reading List Source URL: dl.dropboxusercontent.com Language: English Mathematical analysis Statistics Probability Control theory Kalman filter Robot control Inertial frame of reference Skew-symmetric matrix Distribution Inertial measurement unit Normal distribution
3	EFFICIENT MONTE CARLO OPTIMIZATION FOR MULTI-LABEL CLASSIFIER CHAINS Jesse Read, Luca Martino∗ David Luengo∗ Dept. of Signal Theory and Communications Add to Reading List Source URL: perso.telecom-paristech.fr Language: English Machine learning Statistical classification Classifier chains Multi-label classification Pattern recognition Support vector machine Supervised learning Probabilistic classification Maximum a posteriori estimation Naive Bayes classifier Structured support vector machine
4	EFFICIENT MONTE CARLO OPTIMIZATION FOR MULTI-LABEL CLASSIFIER CHAINS Jesse Read, Luca Martino∗ David Luengo∗ Dept. of Signal Theory and Communications Add to Reading List Source URL: users.ics.aalto.fi Language: English - Date: 2013-03-13 05:58:27 Machine learning Statistical classification Classifier chains Multi-label classification Pattern recognition Support vector machine Probabilistic classification Supervised learning Maximum a posteriori estimation Naive Bayes classifier Structured support vector machine
5	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 Add to Reading List Source URL: rpg.ifi.uzh.ch Language: English - Date: 2016-02-09 09:23:19 Mathematical analysis Statistics Probability Control theory Kalman filter Robot control Inertial frame of reference Distribution Skew-symmetric matrix Normal distribution Inertial measurement unit
6	sm_reg_surface_noisy_60_b.eps Add to Reading List Source URL: dpkingma.com Language: English - Date: 2013-03-07 08:16:36 Statistics Machine learning Nonparametric statistics Estimation theory Computational statistics Kernel density estimation Pattern recognition Artificial neural network Mixture model Density estimation Inverse problem Maximum a posteriori estimation
7	1792 • The Journal of Neuroscience, January 28, 2015 • 35(4):1792–1805 Behavioral/Cognitive Neural Mechanisms for Integrating Prior Knowledge and Likelihood in Value-Based Probabilistic Inference Add to Reading List Source URL: psych.nyu.edu Language: English - Date: 2015-02-23 11:10:34 Bayesian statistics Statistical inference Model selection Likelihood function Bootstrapping Prior probability Bayesian information criterion Maximum a posteriori estimation Statistical power Statistics Estimation theory Bayesian inference
8	Bayesian Posterior Sampling via Stochastic Gradient Fisher Scoring Sungjin Ahn Dept. of Computer Science, UC Irvine, Irvine, CA, USA SUNGJIA @ ICS . UCI . EDU Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2012-05-22 12:55:14 Fisher information Markov chain Monte Carlo Normal distribution Stochastic gradient descent Maximum a posteriori estimation Confidence interval Central limit theorem Score Expectation–maximization algorithm Statistics Estimation theory Maximum likelihood
9	Behav Res DOIs13428Estimating the distribution of sensorimotor synchronization data: A Bayesian hierarchical modeling approach Rasmus Bååth 1 Add to Reading List Source URL: www.sumsar.net Language: English - Date: 2015-06-17 18:55:43 Statistical theory Bayesian statistics Parametric statistics Point estimation Hierarchical Bayes model Maximum a posteriori estimation T-statistic Parameter Maximum likelihood Statistics Statistical inference Estimation theory
10	Stochastic Approach to Secret Message Length Estimation in ±k Embedding Steganography Taras Holotyak, aJessica Fridrich∗ , and bDavid Soukal a Department of Electrical and Computer Engineering b Add to Reading List Source URL: www.ws.binghamton.edu Language: English - Date: 2006-04-26 08:10:16 Mathematical analysis Statistical inference Statistical theory Steganography Steganalysis Embedding Maximum likelihood Wavelet transform Maximum a posteriori estimation Statistics Estimation theory Mathematics