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Bayesian linear regression
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1	Spectral learning of linear dynamics from generalised-linear observations with application to neural population data Lars Buesing∗ , Jakob H. Macke∗,† , Maneesh Sahani Gatsby Computational Neuroscience Unit Add to Reading List Source URL: www.mackelab.org Language: English - Date: 2016-08-04 15:02:44 Statistics Statistical theory Estimation theory Actuarial science Expectationmaximization algorithm Missing data Maximum likelihood estimation Variational Bayesian methods Linear regression Normal distribution Covariance Regression analysis
2	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
3	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
4	15 JULYELSNER AND JAGGER 2813 Add to Reading List Source URL: myweb.fsu.edu Language: English - Date: 2016-08-22 10:16:46 Statistics Statistical theory Statistical inference Estimation theory Bayesian statistics Regression analysis Bootstrapping Bayesian network Bayesian inference Linear regression Gibbs sampling Atlantic hurricane
5	StableRegularisedLDSfinal.dvi Add to Reading List Source URL: www.gatsby.ucl.ac.uk Language: English - Date: 2014-10-13 19:51:19 Statistics Estimation theory Statistical theory Maximum likelihood estimation Expectationmaximization algorithm Variational Bayesian methods Linear regression Autoregressive model Mixture model
6	Spectral learning of linear dynamics from generalised-linear observations with application to neural population data Lars Buesing∗ , Jakob H. Macke∗,† , Maneesh Sahani Gatsby Computational Neuroscience Unit Add to Reading List Source URL: www.gatsby.ucl.ac.uk Language: English - Date: 2014-10-13 19:51:14 Statistics Statistical theory Estimation theory Expectationmaximization algorithm Maximum likelihood estimation Variational Bayesian methods Linear regression Normal distribution Covariance Regression analysis Mixture model
7	Global estimation of child mortality using a Bayesian B-spline Bias-reduction model Leontine Alkema and Jin Rou New Add to Reading List Source URL: www.childmortality.org Language: English - Date: 2014-09-26 01:57:00 Statistics Interpolation Econometrics Actuarial science Science Population Spline Linear regression B-spline Regression analysis Demographic and Health Surveys Demography
8	Genome Informatics 15(2): 121–Inference of Gene Regulatory Networks by Means of Dynamic Diﬀerential Bayesian Networks and Add to Reading List Source URL: www.jsbi.org Language: English - Date: 2004-12-20 01:20:02 Statistics Econometrics Statistical models Statistical theory Estimation theory Regression analysis Parametric model Linear regression Bayesian network
9	6090 JOURNAL OF CLIMATE VOLUME 23 Add to Reading List Source URL: myweb.fsu.edu Language: English - Date: 2011-06-17 16:27:14 Statistics Statistical theory Regression analysis Bayesian statistics Statistical models Econometrics Actuarial science Linear regression Generalized linear model Probability distribution Posterior probability Prior probability
10	J. Quant. Anal. Sports 2016; 12(2): 51–72 Sameer K. Deshpande* and Shane T. Jensen Estimating an NBA player’s impact on his team’s chances of winning Add to Reading List Source URL: www-stat.wharton.upenn.edu Language: English - Date: 2016-06-07 15:23:02 Estimation theory Statistical inference Probability distributions Regression analysis Bayesian inference Statistical forecasting Linear regression Normal distribution Win probability