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Kernel density estimation
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1	Simulation-Based Density Estimation for Time Series using Covariate Data∗ Yin Liaoa and John Stachurskib a School of Economics and Finance, Queensland University of Technology Add to Reading List Source URL: johnstachurski.net Language: English - Date: 2016-06-19 06:01:57 Statistics Statistical theory Estimation theory Statistical inference Nonparametric statistics Statistical models Estimator Kernel density estimation Parametric model Density estimation Consistent estimator Asymptotic theory
2	Unsupervised Learning with Optimal Kernels Sepp Hochreiter and Klaus Obermayer Technische Universit¨at Berlin Abstract We investigate the optimal kernel for sample-based model selection in unsupervised learning if maxim Add to Reading List Source URL: www.bioinf.jku.at Language: English - Date: 2013-01-23 02:37:15 Machine learning Nonparametric statistics Time series analysis Estimation theory Kernel density estimation Sepp Hochreiter Supervised learning Linux kernel Kernel Estimator
3	Chapter 14 Regularization In several sections of this book we touched on the topic of regularization (see, e.g., §and §A variety of statistical procedures and machine learning algorithms employ regular Add to Reading List Source URL: johnstachurski.net Language: English - Date: 2016-06-24 09:25:50 Nonparametric statistics Kernel density estimation Density estimation Normal distribution Convolution Standard deviation Positive-definite kernel Multivariate kernel density estimation Kernel embedding of distributions
4 $UB Riskcenter Working Paper Series University of Barcelona Research Group on Risk in Insurance and Finance www.ub.edu/riskcenter Working paper \\ Number of pages 25$	UB Riskcenter Working Paper Series University of Barcelona Research Group on Risk in Insurance and Finance www.ub.edu/riskcenter Working paper \\ Number of pages 25 Add to Reading List Source URL: www.ub.edu Language: English - Date: 2014-04-12 05:48:25 Nonparametric statistics Estimation theory Robust statistics Statistical inference Actuarial science Kernel density estimation Variance Standard deviation L-estimator Skewness Expected value Value at risk
5	Local bandwidth selectors for deconvolution kernel density estimation Achilleas Achilleos 1 2 Add to Reading List Source URL: www.ms.unimelb.edu.au Language: English - Date: 2011-03-11 23:17:28
6	Nonparametric Kernel Density Estimation Near the Boundary Add to Reading List Source URL: www.ewifo.uni-hannover.de Language: English - Date: 2015-03-10 04:16:01
7	Practical bandwidth selection in deconvolution kernel density estimation A. Delaigle and I. Gijbels ∗ Institut de Statistique, Universit´e catholique de Louvain, 20 Voie du Roman Pays, Louvain-la-Neuve, Belgium. Add to Reading List Source URL: www.ms.unimelb.edu.au Language: English - Date: 2009-11-25 00:29:28
8	Supplementary file for the paper “Local bandwidth selectors for deconvolution kernel density estimation” by A. Achilleos and A. Delaigle. In this file we present the full simulations results for the eight densities c Add to Reading List Source URL: www.ms.unimelb.edu.au Language: English - Date: 2011-02-27 00:53:04
9	sm_reg_surface_noisy_60_b.eps Add to Reading List Source URL: dpkingma.com Language: English - Date: 2013-03-07 08:16:36 Statistics Machine learning Nonparametric statistics Estimation theory Computational statistics Kernel density estimation Pattern recognition Artificial neural network Mixture model Density estimation Inverse problem Maximum a posteriori estimation
10	Department of Economics Research Area: Statistics and Econometrics Estimating the density of ethnic minorities in Berlin Multivariate kernel density estimation applied to sensitive geo-referenced administrative data prot Add to Reading List Source URL: www.wiwiss.fu-berlin.de Language: English - Date: 2015-09-10 07:17:45