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Conditional expectation
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51	Time Consistency Conditions for Acceptability Measures, with an Application to Tail Value at Risk Berend Roorda∗ Hans Schumacher† Add to Reading List Source URL: doc.utwente.nl Language: English - Date: 2011-08-28 10:49:32 Constructible universe Conditional expectation Mathematics Forcing Linear temporal logic Probability theory Mathematical logic Ordinal number
52	Finance Stochast. 10, 51–[removed]DOI: [removed]s00780[removed]c Springer-Verlag 2006 Add to Reading List Source URL: www.ise.ufl.edu Language: English - Date: 2013-06-15 17:47:11 Mathematical sciences Actuarial science Probability theory Coherent risk measure Standard deviation Risk measure Absolute deviation Conditional expectation Expected shortfall Statistics Financial risk Mathematical finance
53	Forecasting with Imprecise Probabilities Teddy Seidenfeld [removed] Mark J. Schervish [removed] Add to Reading List Source URL: www.hss.cmu.edu Language: English - Date: 2012-03-27 09:39:55 Statistics Brier score Probabilistic forecasting Scoring rule Event Ordinal number Independence Conditional expectation Probability theory Probability and statistics Philosophical logic
54	P1: FIC OJ002-04 April 12, [removed]:23 Add to Reading List Source URL: mqscores.berkeley.edu Language: English - Date: 2014-07-14 18:26:26 Markov models Bayesian statistics Time series analysis Expectation–maximization algorithm Kalman filter Prior probability Normal distribution Regression analysis Autoregressive conditional heteroskedasticity Statistics Econometrics Estimation theory
55	Cross-lingual Projected Expectation Regularization for Weakly Supervised Learning Mengqiu Wang and Christopher D. Manning Computer Science Department Stanford University Stanford, CA[removed]USA Add to Reading List Source URL: nlp.stanford.edu Language: English - Date: 2014-07-16 02:05:44 Computational linguistics Econometrics Bitext word alignment Machine translation Estimation theory Conditional random field Semi-supervised learning Named-entity recognition Expectation–maximization algorithm Statistics Machine learning Science
56	A BRIEF PRIMER ON CONDITIONAL EXPECTATION Conditional expectation is a topic that I found somewhat obscure as a student. However there is really nothing to be afraid of. Let (X, F, µ) be a probability space (I have emp Add to Reading List Source URL: people.maths.ox.ac.uk Language: English - Date: 2013-08-05 12:58:15 Conditioning Conditional expectation Measure theory Fourier analysis Inequalities Fourier transform Lifting theory Mathematical analysis Probability theory Radon–Nikodym theorem
57	STAT 3050, CRN[removed]Introduction to Probability Theory and its Applications Winter 2014 Instructor: Add to Reading List Source URL: umanitoba.ca Language: English - Date: 2013-11-13 13:09:23 Markov processes Stochastic processes Markov models Random variable Markov chain Random walk Probability distribution Probability-generating function Conditional expectation Statistics Probability theory Probability and statistics
58	Surveillance Event Detection Mert Dikmen, Huazhong Ning, Dennis J. Lin, Liangliang Cao, Vuong Le, Shen-Fu Tsai, Kai-Hsiang Lin, Zhen Li, Jianchao Yang, Thomas S. Huang Department of Electrical and Computer Engineering Un Add to Reading List Source URL: www-nlpir.nist.gov Language: English - Date: 2009-05-18 11:26:55 Computer vision Machine learning Statistical inference Expectation–maximization algorithm Missing data Edge detection Optical flow Conditional random field Object recognition Statistics Artificial intelligence Estimation theory
59	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
60	Chapter 2. Review of basic Statistical methods 1 Distribution, conditional distribution and moments We consider two kinds of random variables: discrete and continuous random variables. For discrete random variable X, the Add to Reading List Source URL: www.math.mtu.edu Language: English - Date: 2006-09-14 13:48:29 M-estimator Fisher information Expectation–maximization algorithm Likelihood function Probability density function Expected value Random variable Statistics Estimation theory Maximum likelihood

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