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Statistical theory
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#	Item
151	Towards a Robust Top-Down Model for Valuation of Mining Assets Blanchet, J., Dolan, C., Iyengar, G., and Lall, U. Abstract Our goal is to create a simple, yet robust, statistical model which can be used to Add to Reading List Source URL: water.columbia.edu Language: English - Date: 2015-11-04 11:08:53 Statistics Estimation theory Operations research Applied mathematics Regression analysis Knowledge representation Mathematical model Linear regression Economic model Bayesian network Mathematical optimization Normal distribution
152	On quadrature methods for refractory point process likelihoods Gonzalo Mena and Liam Paninski Statistics Department and Grossman Center for the Statistics of Mind Columbia University July 2, 2014 Add to Reading List Source URL: www.stat.columbia.edu Language: English - Date: 2014-07-02 20:20:52 Estimation theory Numerical integration Mathematical analysis Statistics Statistical theory Numerical analysis M-estimators Maximum likelihood estimation Likelihood function Integral Logarithm Quadrature
153	Linear Dynamic Programming and the Training of Sequence Estimators Christopher Raphael? and Eric Nichols?? Abstract We consider the problem of finding an optimal path through a trellis graph when the arc costs are linear Add to Reading List Source URL: music.informatics.indiana.edu Language: English - Date: 2010-06-29 17:34:24 Statistics Statistical theory Systems science Mathematical optimization Estimation theory Markov models Dynamic programming Equations Systems engineering Loss function Maximum likelihood estimation Viterbi algorithm
154	HP Prime Technology Corner 16 The Practice of Statistics for the AP Exam, 5e Section 8-3, P. 513 Add to Reading List Source URL: www.hpprime.de Language: English - Date: 2014-09-09 06:14:09 Statistics Mathematical analysis Probability Probability distributions Statistical inference Estimation theory Confidence interval Measurement Quantitative marketing research Inverse function Normal distribution Inverse hyperbolic function
155	Slice sampling in Bayesian estimation of DSGE models Add to Reading List Source URL: www.macfinrobods.eu Language: English - Date: 2015-06-30 02:32:38 Statistical theory Statistics Bayesian statistics Estimation theory Slice sampling Likelihood function Markov chain Monte Carlo Bayes estimator
156	Variational Bayesian Learning of Cooperative Vector Quantizer Model - The Theory Add to Reading List Source URL: people.cs.pitt.edu Language: English - Date: 2003-05-06 15:46:12 Statistics Statistical models Bayesian network Latent variable Variational Bayesian methods Independent component analysis Expectationmaximization algorithm Generative model Principal component analysis Bayesian inference Normal distribution Mixture model
157	15 JUNEELSNER AND JAGGER 2935 Add to Reading List Source URL: myweb.fsu.edu Language: English - Date: 2016-08-22 10:16:48 Statistics Meteorology Statistical theory Estimation theory Regression analysis Actuarial science Statistical models Machine learning Tropical cyclone Linear regression Bayesian inference Bayesian network
158	11 The Kondo Effect Frithjof B. Anders Theoretische Physik II ¨ Dortmund Technische Universitat Add to Reading List Source URL: www.cond-mat.de Language: English - Date: 2012-08-20 13:43:06 Physics Condensed matter physics Materials science Renormalization group Quantum field theory Mathematical physics Statistical mechanics Kondo effect Numerical renormalization group Kondo model Spinorbit interaction Renormalization
159	CAM Centre for Applied Microeconometrics Department of Economics University of Copenhagen http://www.econ.ku.dk/CAM/ Add to Reading List Source URL: www.econ.ku.dk Language: English - Date: 2011-10-17 17:38:09 Estimation theory Statistics Statistical theory M-estimators Statistical inference Regression analysis Maximum likelihood estimation Estimator Extremum estimator Generalized method of moments Loss function Efficiency
160	Robot Learning with a Spatial, Temporal, and Causal And-Or Graph Caiming Xiong∗ , Nishant Shukla∗ , Wenlong Xiong, and Song-Chun Zhu Abstract— We propose a stochastic graph-based framework for a robot to understand Add to Reading List Source URL: shukla.io Language: English - Date: 2016-02-23 23:39:56 Academia Applied mathematics Philosophy Networks Statistical models Knowledge representation Graph theory Bayesian network Causality Artificial neural network Motion planning Graph rewriting

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