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Conditional probability
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281	UQAR – Chaire de Recherche EEC Les probabilit´ es sont-elles marginales? Dominique Gravel Add to Reading List Source URL: chaire-eec.uqar.ca Language: English - Date: 2014-02-14 15:51:15 Random variable Marginal distribution Expected value Joint probability distribution Normal distribution Conditional probability Probability theory Statistics Probability and statistics
282	Have We Underestimated the Probability of Hitting the Zero Lower Bound? Hess Chung, Jean-Philippe Laforte, David Reifschneider, John C. Williams Revisiting Monetary Policy in a Low Inflation Environment Federal Reserve B Add to Reading List Source URL: www.bostonfed.org Language: English - Date: 2011-06-02 17:24:39 Statistical inference Monetary policy Statistical theory Estimation theory Signal processing Inflation Autoregressive conditional heteroskedasticity Economic model Real interest rate Statistics Economics Macroeconomics
283	Grammarless Parsing for Joint Inference J ason N ar adowsk y 1,2 T im V ieir a3 David A. Smi th4 (1) University of Massachusetts Amherst, Amherst, Massachusetts (2) Macquarie University, Sydney, Australia (3) Johns Hopki Add to Reading List Source URL: www.ccs.neu.edu Language: English - Date: 2012-11-12 13:34:19 Theoretical computer science Probability Formal languages Probability theory Compiler construction Conditional random field Belief propagation Factor graph Markov random field Graphical models Mathematics Applied mathematics
284	Influential Nodes in a Diffusion Model for Social Networks ´ Tardos2? ? ? David Kempe1? , Jon Kleinberg2?? , and Eva 1 Add to Reading List Source URL: www.cs.cornell.edu Language: English - Date: 2005-05-20 00:29:25 Probability theory Mathematics Model theory Flow network Networks Method of conditional probabilities Normal distribution Graph theory Network flow Probability space
285	Trends in the Transitory Variance of Male Earnings in the U.S., [removed]Robert Moffitt Johns Hopkins University Peter Gottschalk Add to Reading List Source URL: fmwww.bc.edu Language: English - Date: 2010-11-04 17:10:29 Data analysis Probability theory Variance Autoregressive conditional heteroskedasticity Statistics Econometrics Time series analysis
286	Last Modified[removed]Basics of Probability and Statistics Key Concepts During a risk analysis, various numbers called probabilities are estimated and used to describe the likelihood of events and characterize the Add to Reading List Source URL: www.usbr.gov Language: English - Date: 2013-08-09 15:05:19 Probability Random variable Probability interpretations Probability distribution Marginal distribution Independence Conditional probability Cumulative distribution function Odds Probability theory Statistics Probability and statistics
287	IDEAL Inference on Conditional Quantiles via Interpolated Duals of Exact Analytic L-statistics David M. Kaplan∗ Department of Economics, UC San Diego December 26, 2012; first version May 30, 2012 Add to Reading List Source URL: www.albany.edu Language: English - Date: 2013-01-23 11:00:12 Order statistic Permutations Normal distribution Quantile Cumulative distribution function Mann–Whitney U Conditioning Conditional expectation Quantile regression Statistics Summary statistics Probability theory
288	Unit 1 Rigid motion: any transformation that preserves shape such as rotations, translations reflections, shifts and slides. If a figure is dilated or compressed the motion is no longer a rigid motion. Examples: on t Add to Reading List Source URL: mdk12.org Language: English - Date: 2012-08-16 15:09:22 Quadrilaterals Parabola Focus Area Circle Conditional probability Square Rectangle Method of exhaustion Geometry Conic sections Curves
289	Nonparametric Estimation of Conditional Information and Divergences Barnab´ as P´ oczos Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2013-02-04 21:22:52 Information theory Probability theory Statistical inference Conditional mutual information Kullback–Leibler divergence Normal distribution Mutual information Conditioning Estimator Statistics Estimation theory Statistical theory
290	The Shape-Time Random Field for Semantic Video Labeling Andrew Kae, Benjamin Marlin, Erik Learned-Miller School of Computer Science University of Massachusetts, Amherst MA, USA {akae,marlin,elm}@cs.umass.edu Add to Reading List Source URL: vis-www.cs.umass.edu Language: English - Date: 2014-05-13 10:40:23 Statistical models Probability and statistics Conditional random field Theoretical computer science Boltzmann machine Applied mathematics Generative model Ludwig Boltzmann Segmentation Machine learning Graphical models Statistics

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