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Estimation theory
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#	Item
281	1 On-Manifold Preintegration for Real-Time Visual-Inertial Odometry Christian Forster, Luca Carlone, Frank Dellaert, Davide Scaramuzza Add to Reading List Source URL: rpg.ifi.uzh.ch Language: English - Date: 2016-07-19 03:19:56 Statistics Statistical theory Mathematical analysis Estimation theory Robot control Control theory Kalman filter Estimation of covariance matrices Maximum likelihood estimation Normal distribution Covariance Matrix exponential
282	10 APPENDIX C – S-PLUS CODES CITED IN TEXT S-PLUS codes discussed in the text. Codes are delineated by chapter and number; e.g. C.2.3. refers to chapter 2, code set 3. In many cases part or all of the calculations ca Add to Reading List Source URL: biology.ucr.edu Language: English - Date: 2006-04-14 16:54:50 Statistics Statistical inference Bootstrapping Resampling Normal distribution Median Regression analysis Standard deviation Estimation theory Variance Degrees of freedom Covariance
283	Signal Processing–134 Contents lists available at ScienceDirect Signal Processing journal homepage: www.elsevier.com/locate/sigpro Add to Reading List Source URL: jmread.github.io Language: English - Date: 2016-05-18 09:25:59 Statistics Monte Carlo methods Computational statistics Estimation theory Robot control Control theory Kalman filter Particle filter Resampling Bootstrapping Filtering problem
284	82 Genome Informatics 13: 82–Very Fast Algorithms for Evaluating the Stability of ML and Bayesian Phylogenetic Trees from Sequence Data Add to Reading List Source URL: www.jsbi.org Language: English - Date: 2002-12-09 05:53:38 Statistics Statistical theory Computational statistics Bayesian statistics Statistical inference Monte Carlo methods Estimation theory Phylogenetics Bootstrapping Coalescent theory Markov chain Monte Carlo Phylogenetic tree
285	Paper P254-25 Performing Exact Logistic Regression with the SAS R System Robert E. Derr, SAS Institute Inc., Cary, NC The “METHODOLOGY” section in this paper presents the logistic regression model and the different Add to Reading List Source URL: www.ats.ucla.edu Language: English - Date: 2016-08-17 18:18:26 Statistics Statistical theory Estimation theory Statistical tests Regression analysis Econometrics Logistic regression Likelihood function Exact test Normal distribution Likelihood-ratio test Sufficient statistic
286	RMA Software for Reduced Major Axis Regression HTT P :// WWW . BIO . SDS U . EDU / PUB / AND Y / RMA . HTM L Andrew J. Bohonak Add to Reading List Source URL: www.bio.sdsu.edu Language: English - Date: 2004-09-03 20:21:56 Statistics Econometrics Regression analysis Estimation theory Parametric statistics Statistical inference Linear regression Ordinary least squares Standard error Bootstrapping Confidence interval Least squares
287	Inference, Models and Simulation for Complex Systems Lecture 5 Prof. Aaron Clauset 1 Add to Reading List Source URL: tuvalu.santafe.edu Language: English - Date: 2011-09-09 13:51:36 Statistics Statistical theory Model selection Estimation theory Bayesian statistics Probability distributions Likelihood function Maximum likelihood estimation Likelihood-ratio test Akaike information criterion Marginal likelihood Bayes factor
288	Data assimilation Polyphemus Training Session December 11, 2009 About Purpose: introduction to optimal interpolation, Kalman filtering and variational data Add to Reading List Source URL: cerea.enpc.fr Language: English - Date: 2011-02-18 05:14:41 Statistical theory Statistics Estimation theory Control theory Linear filters Bayesian statistics Robot control Data assimilation Kalman filter Covariance Assimilation Ensemble forecasting
289	Estimating team strength in the NFL Mark E. Glickman Hal S. Stern April 28, 2016 Add to Reading List Source URL: www.glicko.net Language: English - Date: 2016-05-12 15:22:06 Statistics Estimation theory Algebra Mathematics Regression analysis Parametric statistics Least squares Econometrics Linear regression Matrix Lambda calculus Ordinary least squares
290	Prism: Multiple spline regression with regularization, dimensionality reduction, and feature selection Christopher R Madan Boston College 27 June 2016 Paper DOI: http://dx.doi.orgjoss.00031 Add to Reading List Source URL: www.cmadan.com Language: English - Date: 2016-07-02 04:12:05 Statistics Statistical methods Regression analysis Econometrics Statistical classification Estimation theory Relevance vector machine Linear regression Smoothing spline Feature selection Support vector machine Spline

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