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Estimation theory
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#	Item
401	A Semiparametric Model for Heterogeneous Panel Data with Fixed Effects Lena K¨orber∗ London School of Economics and Bank of England Oliver Linton† Add to Reading List Source URL: www.statistik.uni-bonn.de Language: English - Date: 2015-10-23 03:54:08 Regression analysis Estimation theory Statistical theory Econometrics Parametric statistics Instrumental variable Linear regression Matrix Fixed effects model Degrees of freedom Normal distribution Covariance
402	Reject Options and Confidence Measures for kNN Classifiers∗ Christoph Dalitz Hochschule Niederrhein Fachbereich Elektrotechnik und Informatik Reinarzstr. 49, 47805 Krefeld, Germany Add to Reading List Source URL: lionel.kr.hs-niederrhein.de Language: English - Date: 2016-04-01 07:04:15 Statistical inference Estimation theory Machine learning Robust statistics K-nearest neighbors algorithm Statistical hypothesis testing Statistical classification Outlier Pattern recognition Estimator Bayes estimator Bootstrapping
403	Which cliques? • In general, an undirected model can place potentials on any subset of the cliques of the graph. Lecture 11: Iterative Proportional Fitting Add to Reading List Source URL: www.cs.nyu.edu Language: English - Date: 2009-10-06 18:57:16 Statistical theory Estimation theory XC KullbackLeibler divergence Cross entropy Clique Maximum likelihood estimation
404	COMBINED ALGORITHMS FOR FITTING FINITE MIXTURE DISTRIBUTIONS COMBINED ALGORITHMS FOR CONSTRAINED ESTIMATION OF FINITE MIXTURE DISTRIBUTIONS WITH GROUPED Add to Reading List Source URL: ms.mcmaster.ca Language: English - Date: 2006-07-28 11:20:38 Estimation theory Probability distributions Expectationmaximization algorithm Missing data Mixture distribution Maximum likelihood estimation Mixture model
405	Learning Discriminative Fisher Kernels Laurens van der Maaten Pattern Recognition & Bio-informatics Laboratory, Delft University of Technology, THE NETHERLANDS Add to Reading List Source URL: lvdmaaten.github.io Language: English - Date: 2016-07-16 15:30:43 Estimation theory Machine learning Statistical classification Fisher kernel Categorical data Pattern recognition Kernel method Positive-definite kernel Support vector machine Maximum likelihood estimation Kernel Likelihood function
406	7A.6 Assimilating Compact Phase Space Retrievals (CPSRs): Comparison with independent observations (MOZAIC in situ and IASI retrievals) and extension to assimilation of retrieval partial columns. Add to Reading List Source URL: www2.mmm.ucar.edu Language: English - Date: 2016-06-16 12:19:59 Control theory Data assimilation Estimation theory Statistical forecasting Weather forecasting Assimilation MOPITT
407	5A.2 Conducting the Arctic System Reanalysis using Polar WRF and WRFDA. Bromwich, David H., Aaron B. Wilson, Le-Sheng Bai, Ohio State University (OSU), G. W. Kent Moore, University of Toronto, Canada, Flavio Justino, Add to Reading List Source URL: www2.mmm.ucar.edu Language: English - Date: 2016-06-16 12:19:59 Statistical forecasting Weather forecasting Control theory Data assimilation Estimation theory Ocean reanalysis Weather Research and Forecasting Model
408	vol. 171, no. 3 the american naturalist  Add to Reading List Source URL: people.oregonstate.edu Language: English - Date: 2008-02-14 14:26:20 Genetics Probability distributions Stable distributions Phylogenetics Statistical theory Genetic variance Multivariate normal distribution Heritability Maximum likelihood estimation Principal component analysis Covariance Models of DNA evolution
409	DYNAMIC SPARSE STATE ESTIMATION USING ℓ1 -ℓ1 MINIMIZATION: ADAPTIVE-RATE MEASUREMENT BOUNDS, ALGORITHMS AND APPLICATIONS João Mota⋆, Nikos Deligiannis⋆♯, Aswin C. Sankaranarayanan†, Volkan Cevher‡ , Miguel Add to Reading List Source URL: www.ee.ucl.ac.uk Language: English - Date: 2015-02-11 09:51:28 Signal processing Control theory Linear algebra Robot control Kalman filter Compressed sensing Sparse approximation State observer Estimation theory Compressed sensing in speech signals
410	EFFICIENT MONTE CARLO OPTIMIZATION FOR MULTI-LABEL CLASSIFIER CHAINS Jesse Read, Luca Martino∗ David Luengo∗ Dept. of Signal Theory and Communications Add to Reading List Source URL: perso.telecom-paristech.fr Language: English Machine learning Statistical classification Classifier chains Multi-label classification Pattern recognition Support vector machine Supervised learning Probabilistic classification Maximum a posteriori estimation Naive Bayes classifier Structured support vector machine

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