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Probability and statistics
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261	Statistics 111 Spring 2016 Course Description: The goal of this course is to develop basic tools for data analysis, probability and statistical methods. Key topics covered in the course include exploratory data analysis, Add to Reading List Source URL: www-stat.wharton.upenn.edu Language: English - Date: 2015-12-20 16:30:37 Education Knowledge sharing Examinations Midterm exam Recitation Final examination Grading systems by country Teaching assistant
262	A Tutorial on Probability Theory Paola Sebastiani Department of Mathematics and Statistics University of Massachusetts at Amherst Add to Reading List Source URL: www.sci.utah.edu Language: English - Date: 2008-01-09 18:09:30
263	CreditRisk + Model with Dependent Risk Factors Ruodu Wang∗, Liang Peng† and Jingping Yang‡ October 6, 2014 Abstract The CreditRisk + model is widely used in industry for computing the loss of a credit portfolio. Th Add to Reading List Source URL: sas.uwaterloo.ca Language: English - Date: 2014-10-06 11:54:54 Actuarial science Statistics Independence Probability Covariance and correlation Mathematical analysis Multivariate statistics Copula Financial risk Variance Risk Comonotonicity
264	Empirical Likelihood Test for High Dimensional Linear Models Liang Peng1 , Yongcheng Qi2 and Ruodu Wang3 January 7, 2014 Abstract We propose an empirical likelihood method to test whether the coefficients in a possibly h Add to Reading List Source URL: sas.uwaterloo.ca Language: English - Date: 2014-01-07 08:39:09 Statistics Statistical theory Estimation theory Regression analysis Probability distributions Parametric statistics Bayesian statistics Normal distribution Linear regression Likelihood function
265	Journal of EMPIRICAL ELSEVIER Journal of Empirical Finance Add to Reading List Source URL: www.ssc.wisc.edu Language: English Statistics Probability Mathematical finance Covariance and correlation Probability distributions Stable distributions Statistical tests Covariance Heteroscedasticity Variance Normal distribution Portfolio optimization
266	The Complete Mixability and Convex Minimization Problems with Monotone Marginal Densities Bin Wang∗ and Ruodu Wang† May 9, 2011 Abstract Add to Reading List Source URL: sas.uwaterloo.ca Language: English - Date: 2011-05-09 10:28:41 Mathematical analysis Statistics Probability Probability distributions Statistical theory Binomial distribution Distribution Expected value Completeness
267	Markov Chain Monte Carlo and Variational Inference: Bridging the Gap Tim Salimans Algoritmica TIM @ ALGORITMICA . NL Add to Reading List Source URL: jmlr.org Language: English - Date: 2015-09-16 19:38:47 Statistics Statistical theory Probability Markov models Computational statistics Bayesian statistics Monte Carlo methods Monte Carlo software Variational Bayesian methods Bayesian network Markov chain Gibbs sampling
268	WHAT DOES A RANDOM CONTINGENCY TABLE LOOK LIKE? Alexander Barvinok November 2009 Abstract. Let R = (r1 , . . . , rm ) and C = (c1 , . . . , cn ) be positive integer vectors Add to Reading List Source URL: www.math.lsa.umich.edu Language: English - Date: 2009-11-25 09:10:05 Matrix Probability Mathematical analysis Probability distributions Stable distributions Probability theory Statistics
269	On Agreement and Learning∗ Elchanan Mossel†, Allan Sly‡and Omer Tamuz§ arXiv:1207.5895v1 [math.ST] 25 JulJuly 26, 2012 Add to Reading List Source URL: people.hss.caltech.edu Language: English - Date: 2012-07-27 05:59:55 Game theory Bayesian statistics Statistical inference Statistical theory Probability and statistics Bayesian game Bayesian inference Posterior probability Probability Conditional independence Common knowledge Bayesian network
270	How do you know that? Sensitivity to statistical dependency in social learning Andrew Whalen () Daphna Buchsbaum () Thomas L. Griffiths (tom ) Department of Psyc Add to Reading List Source URL: cocosci.berkeley.edu Language: English - Date: 2013-05-02 18:42:13 Statistics Statistical theory Statistical inference Information Knowledge Probability and statistics Bayesian statistics Behavioral finance Information cascade Informant Probability Bayesian inference

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