Estimation theory - PDFSEARCH.IO - Document Search Engine

Estimation theory
Results: 8035

#	Item
421	Chapter 3 Measurements uncertainties In this chapter we describe how to treat and combine the statistical and systematic uncertainties associated to measurements. 3.1 Add to Reading List Source URL: ihp-lx.ethz.ch Language: English - Date: 2015-03-31 05:26:54 Covariance and correlation Algebra of random variables Summary statistics Estimation theory Regression analysis Covariance Propagation of uncertainty Variance Central limit theorem Normal distribution Correlation and dependence Expected value
422	Revisiting natural gradient for deep networks Yoshua Bengio Universit´e de Montr´eal Montr´eal QC H3C 3J7 Canada Add to Reading List Source URL: arxiv.org Language: English - Date: 2014-02-18 01:51:44 Estimation theory Numerical linear algebra M-estimators Stochastic optimization Least squares Conjugate gradient method Nonlinear conjugate gradient method Gradient descent Gradient method Hessian matrix Fisher information BroydenFletcherGoldfarbShanno algorithm
423	Internal models of insurance undertakings and insurance groups under the Solvency II directive (Generalized Linear Models - GLM) Add to Reading List Source URL: www.nmf.knf.gov.pl Language: English - Date: 2011-04-22 04:17:59 Regression analysis Actuarial science Econometrics Statistical models Estimation theory Linear regression Generalized linear model Prediction
424	p-values: The insight to modern statistical inference D A S Fraser ∗ Add to Reading List Source URL: errorstatistics.files.wordpress.com Language: English - Date: 2016-06-28 14:43:14 Estimation theory Statistical theory Econometrics Bayesian statistics Statistical inference Likelihood function Confidence interval Sufficient statistic Bias of an estimator Observed information Maximum likelihood estimation Likelihood principle
425	Nowcasting Events from the Social Web with Statistical Learning VASILEIOS LAMPOS and NELLO CRISTIANINI, University of Bristol, UK We present a general methodology for inferring the occurrence and magnitude of an event or Add to Reading List Source URL: www.lampos.net Language: English - Date: 2013-12-12 21:06:10 Machine learning Statistical methods Econometrics Model selection Estimation theory Feature selection Lasso Supervised learning Bootstrapping Pattern recognition Least squares Linear regression
426	Regularized D-bar method for the inverse conductivity problem Samuli Siltanen, University of Helsinki FinEst Math, Tartu Add to Reading List Source URL: www.siltanen-research.net Language: English - Date: 2009-08-28 04:41:06 Inverse problems Estimation theory Linear algebra Mathematical analysis Tikhonov regularization Well-posed problem Regularization Tikhonov Inverse Regularization by spectral filtering
427	On Specifying Boolean Functions by Labelled Examples Martin Anthony and Graham Brightwell Department of Statistical and Mathematical Sciences London School of Economics Add to Reading List Source URL: www.maths.lse.ac.uk Language: English - Date: 2003-07-02 03:41:24 Statistical theory Estimation theory M-estimators Ordinary differential equations Operator theory Sufficient statistic Heat equation
428	Nonlin. Processes Geophys., 22, 645–662, 2015 www.nonlin-processes-geophys.netdoi:npg © Author(sCC Attribution 3.0 License. Expanding the validity of the ensemble Kalman filt Add to Reading List Source URL: www.nonlin-processes-geophys.net Language: English - Date: 2016-01-09 10:14:44 Estimation theory Control theory Linear filters Robot control Bayesian statistics Ensemble Kalman filter Kalman filter Covariance Data assimilation Maximum likelihood estimation State observer Normal distribution
429	Autoregressions in Small Samples, Priors about Observables and Initial Conditions Marek Jaroci´nski European Central Bank Albert Marcet London School of Economics, CEP and CEPR Add to Reading List Source URL: www.monfispol.eu Language: English - Date: 2011-04-20 14:05:39 Estimation theory Statistical inference Bayesian statistics Parametric statistics Regression analysis Prior probability Bayesian inference Frequentist inference Ordinary least squares Linear regression Bayes estimator
430	USING MODEL-BASED PARAMETER ESTIMATION TO INCREASE THE EFFICIENCY AND EFFECTIVENESS OF COMPUTATIONAL ELECTROMAGNETICS Science began, and largely remains, an activity of making observations and/or collecting data about va Add to Reading List Source URL: www.aces-society.org Language: English - Date: 2016-01-02 19:21:16 Statistical inference Estimation theory Signal processing Robust statistics Parameter Regression analysis Nonparametric statistics Parametric Estimation

UPDATE