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Conditional probability distribution
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21	Learning Conditional Latent Structures from Multiple Data Sources Viet Huynh1(B) , Dinh Phung1 , Long Nguyen2 , Svetha Venkatesh1 , and Hung H. Bui3 1 Add to Reading List Source URL: dept.stat.lsa.umich.edu Language: English - Date: 2015-05-04 22:34:06 Statistics Probability Statistical natural language processing Probability distributions Stochastic processes Machine learning Statistical models Latent Dirichlet allocation Dirichlet process Dirichlet distribution Mixture model Gibbs sampling
22	Uncovering the riffled independence structure of ranked data Add to Reading List Source URL: select.cs.cmu.edu Language: English - Date: 2012-02-07 14:43:18 Mathematical analysis Probability Statistics Probability distributions Probability theory Normal distribution Permutation F-distribution Random walk Divisor function Conditional independence
23	Optimality of Non-Adaptive Strategies: The Case of Parallel Games Gr´egory Demay∗ , Peter Gaˇzi† , Ueli Maurer∗ , Bj¨orn Tackmann∗ ∗ Department of Computer Science, ETH Z¨urich, Switzerland Add to Reading List Source URL: pub.ist.ac.at Language: English - Date: 2014-06-19 17:18:38 Probability Probability theory Expected value Conditional probability distribution
24	Chair of Software Engineering Robotics Programming Laboratory Bertrand Meyer Jiwon Shin Add to Reading List Source URL: se.inf.ethz.ch Language: English - Date: 2013-10-30 10:24:35 Statistics Robot control Probability Mathematical analysis Estimation theory Linear filters Computational statistics Kalman filter Conditional probability Joint probability distribution Particle filter
25	From Bayesian Notation to Pure Racket via Discrete Measure-Theoretic Probability in λZFC Neil Toronto and Jay McCarthy PLT @ Brigham Young University, Provo, Utah, USA and Add to Reading List Source URL: jeapostrophe.github.io Language: English - Date: 2015-05-11 20:44:55 Mathematical analysis Probability space Random variable Independence Conditioning Code Ordinal number Probability distribution Conditional expectation Probability theory Mathematics Mathematical logic
26	Conditional Skewness and Kurtosis in GARCH Model Supervisor: Author: Add to Reading List Source URL: www.statistics.du.se Language: English - Date: 2011-06-21 12:01:36 Econometrics Time series analysis Data analysis Skewness Kurtosis Skew normal distribution Normal distribution Variance Moment Statistics Probability theory Autoregressive conditional heteroskedasticity
27	Conditional sojourn time of optimal scheduling policy in a multi-class single-server queue ⋆ K.E. Avrachenkov1 , U. Ayesta2,3 , N. Osipova 1 3 Add to Reading List Source URL: homepages.laas.fr Language: English - Date: 2012-01-01 05:03:27 Stochastic processes Operations research Design of experiments Scheduling Pareto distribution Priority queue M/G/1 queue Gittins index Ergodic theory Statistics Queueing theory Probability and statistics
28	C ONTRIBUTED RESEARCH ARTICLE 1 Manipulation of Discrete Random Variables with discreteRV Add to Reading List Source URL: journal.r-project.org Language: English - Date: 2015-05-06 11:20:02 Mathematical analysis Random variable Probability mass function Expected value Probability distribution Independence Marginal distribution Conditional probability distribution Variance Probability theory Statistics Probability and statistics
29	Temporal Aggregation of Equity Return Time-Series Models Add to Reading List Source URL: www.mssanz.org.au Language: English - Date: 2013-01-15 17:48:36 Autoregressive conditional heteroskedasticity Econometrics Time series analysis Markov models Stable distribution Stochastic volatility Economic model Log-normal distribution Normal distribution Statistics Probability and statistics Mathematical finance
30	Review of Probability Theory Arian Maleki and Tom Do Stanford University Probability theory is the study of uncertainty. Through this class, we will be relying on concepts Add to Reading List Source URL: cs229.stanford.edu Language: English - Date: 2012-10-19 14:04:59 Probability Random variable Conditional probability distribution Independence Expected value Cumulative distribution function Joint probability distribution Probability density function Variance Probability theory Statistics Mathematical analysis