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Probability theory
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#	Item
541	Supplementary Material Estimating the Distribution of Sensorimotor Synchronization Data: A Bayesian Hierarchical Modeling Approach Rasmus Bååth Add to Reading List Source URL: www.sumsar.net Language: English - Date: 2016-06-12 16:28:06 Statistics Statistical theory Bayesian statistics Statistical models Parametric statistics Probability distributions Prior probability Normal distribution Bayesian network Bayesian inference Linear regression Bayesian hierarchical modeling
542	The Stochastic Motion Roadmap: A Sampling Framework for Planning with Markov Motion Uncertainty Ron Alterovitz Thierry Sim´eon Add to Reading List Source URL: goldberg.berkeley.edu Language: English - Date: 2007-06-02 12:59:23 Probability theory Mathematical analysis Mathematics Markov processes Robot control Classical mechanics Markov models Dynamic programming Motion planning Stochastic roadmap simulation Probabilistic roadmap Markov decision process
543	STEREOTYPES Pedro Bordalo Katherine Coffman Nicola Gennaioli Andrei Shleifer* December 14, 2015 Add to Reading List Source URL: www.idep.eco.usi.ch Language: English - Date: 2016-04-27 03:12:45 Psychology Heuristics Academia Cognition Prospect theory Representativeness heuristic Cognitive biases Stereotype Social psychology Daniel Kahneman Prejudice Probability distribution
544	Bayesian First Aid: A Package that Implements Bayesian Alternatives to the Classical .test Functions in R Rasmus B˚aa˚ th1,? 1. Lund University Cognitive Science, Sweden ? Contact author: Add to Reading List Source URL: www.sumsar.net Language: English* - Date: 2016-06-12 16:27:50 Statistics Statistical theory Bayesian statistics Probability theory Statistical inference Bayesian network
545	A Simple Sequential Algorithm for Approximating Bayesian Inference Elizabeth Bonawitz, Stephanie Denison, Annie Chen, Alison Gopnik, & Thomas L. Griffiths {liz b, smdeniso, c annie, gopnik, tom griffiths}@berkeley.edu De Add to Reading List Source URL: ccdlab.rutgers.edu Language: English - Date: 2015-03-24 11:58:24 Statistics Sampling techniques Statistical mechanics Stochastic simulation Statistical theory Statistical inference Bayesian inference Bayesian network Particle filter Bayesian probability Monte Carlo method Bayesian statistics
546	94 IEEE TRANSACTIONSON INFORMATIONTHEORY,VOL. IT-25, NO. 1, JANUARYA. Restive. “On a question of McNaughton and Papert,” Inform. Add to Reading List Source URL: www.ifp.illinois.edu Language: English - Date: 2003-07-08 17:08:08 Mathematical analysis Mathematics Covariance and correlation Probability theory Signal processing Autocorrelation Sequence Expected value Information theory Covariance Exchangeable random variables
547	Kernel Belief Propagation 1 Le Song,1 Arthur Gretton,1,2 Danny Bickson,1 Yucheng Low,1 Carlos Guestrin1 School of Computer Science, CMU; 2 Gatsby Computational Neuroscience Unit & MPI for Biological Cybernetics Add to Reading List Source URL: select.cs.cmu.edu Language: English - Date: 2011-07-19 21:41:57 Statistics Probability Mathematical analysis Machine learning Hilbert space Graphical models Probability theory Belief propagation Coding theory Positive-definite kernel Mixture model Normal distribution
548	Nonparametric Tree Graphical Models via Kernel Embeddings 1 Le Song,1 Arthur Gretton,1,2 Carlos Guestrin1 School of Computer Science, Carnegie Mellon University; 2 MPI for Biological Cybernetics Add to Reading List Source URL: select.cs.cmu.edu Language: English - Date: 2010-04-01 17:58:33 Mathematics Mathematical analysis Hilbert space Topology Probability theory Model theory Graphical models Reproducing kernel Hilbert space Positive-definite kernel Embedding Belief propagation Kalman filter
549	Π01 ENCODABILITY AND OMNISCIENT REDUCTIONS BENOIT MONIN AND LUDOVIC PATEY Abstract. A set of integers A is computably encodable if every infinite set of integers has an infinite subset computing A. By a result of Solova Add to Reading List Source URL: ludovicpatey.com Language: English - Date: 2016-03-08 13:28:28 Computability theory 01 class Riemann surfaces Probability theory Measure theory Differential forms on a Riemann surface Modulus of continuity
550	Administrative Notes StatisticsLecture 27 •  Final Exam is Tuesday, May 10th (3-5pm) •  Covers Chapters 1-8 and 10 in textbook Add to Reading List Source URL: www-stat.wharton.upenn.edu Language: English - Date: 2016-04-25 15:34:36 Statistics Regression analysis Parametric statistics Probability distributions Statistical theory Measurement Central limit theorem Normal distribution Sampling distribution T-statistic Errors and residuals Linear regression

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