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Optimal estimation
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#	Item
11	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
12	An International Journal of the Polish Statistical Association Add to Reading List Source URL: pts.stat.gov.pl Language: English Statistics Statistical theory Estimation theory Statistical inference Robust statistics Nonparametric statistics Bias of an estimator Estimator Median Optimal design L-estimator Sampling
13	Optimal shrinkage-based portfolio selection in high dimensions Taras Bodnara , Yarema Okhrinb and Nestor Parolyac,∗ c Add to Reading List Source URL: www.cb.cityu.edu.hk Language: English - Date: 2016-07-08 02:22:28 Statistics Estimation theory Statistical inference Statistical theory Covariance and correlation Summary statistics Shrinkage estimator Estimator Variance Consistent estimator Covariance Standard deviation
14	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
15	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
16	Towards Optimal One Pass Large Scale Learning with Averaged Stochastic Gradient Descent Wei Xu Add to Reading List Source URL: arxiv.org Language: English - Date: 2011-12-22 22:14:38 Econometrics Estimation theory Statistical theory M-estimators Regression analysis Loss function Stochastic gradient descent Linear regression
17	Genome Informatics 15(2): 141–Increasing Feasibility of Optimal Gene Network Estimation Add to Reading List Source URL: www.jsbi.org Language: English - Date: 2004-12-20 01:25:30 Analysis of algorithms Asymptotic analysis Big O notation Mathematical notation Dynamic programming Bayesian network Algorithm HeldKarp algorithm Expectationmaximization algorithm
18	Ann Inst Stat Math:673–703 DOIs10463z Optimal restricted quadratic estimator of integrated volatility Liang-Ching Lin · Meihui Guo Add to Reading List Source URL: www.ism.ac.jp Language: English - Date: 2016-06-28 03:34:42 Statistical theory Estimation theory Mathematical finance Statistical inference Signal processing Stochastic volatility Volatility Efficiency Bias of an estimator Maximum likelihood estimation Estimator Realized kernel
19	2013 IEEE International Conference on Computer Vision Hierarchical Data-driven Descent for Efﬁcient Optimal Deformation Estimation Yuandong Tian Carnegie Mellon University 5000 Forbes Ave, Pittsburgh, PA 15213 Add to Reading List Source URL: www.utc.ices.cmu.edu Language: English - Date: 2014-10-10 12:32:26 Continuum mechanics K-nearest neighbors algorithm Deformation
20	1 Tractable Fully Bayesian Inference via Convex Optimization and Optimal Transport Theory Sanggyun Kim, Diego Mesa, Rui Ma, and Todd P. Coleman Add to Reading List Source URL: arxiv.org Language: English - Date: 2015-09-29 20:20:39 Convex analysis Bayesian statistics Statistical theory Mathematical economics Estimation theory KullbackLeibler divergence Transportation theory Normal distribution Expected value Conjugate prior Mutual information Convex function