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1998, Statistics, textbooks and monographs, ISBN 0824701569, Volume 156, xii, 632
Book
2014, SpringerBriefs in statistics, ISBN 9783319031484, ix, 115
The objective of this book is to compare the statistical properties of penalty and non-penalty estimation strategies for some popular models. Specifically, it... 
Mathematical statistics | Statistics
Book
Journal Article
Journal of the Royal Statistical Society: Series B (Statistical Methodology), ISSN 1369-7412, 09/2019, Volume 81, Issue 4, pp. 781 - 804
Journal Article
Journal of the American Statistical Association, ISSN 0162-1459, 10/2015, Volume 110, Issue 512, pp. 1479 - 1490
Penalized regression methods, such as L 1 regularization, are routinely used in high-dimensional applications, and there is a rich literature on optimality... 
Shrinkage prior | Lasso | Bayesian | Convergence rate | Penalized regression | High-dimensional | Regularization | REGRESSION | SCALE MIXTURES | STATISTICS & PROBABILITY | LINEAR-MODELS | DISTRIBUTIONS | L-1 | EMPIRICAL-BAYES | NEEDLES | SPARSE SEQUENCES | VARIABLE-SELECTION | STRAW | High dimensional | L 1
Journal Article
Journal of the Royal Statistical Society. Series B (Statistical Methodology), ISSN 1369-7412, 6/2011, Volume 73, Issue 3, pp. 273 - 282
Journal Article
Journal of Econometrics, ISSN 0304-4076, 01/2016, Volume 190, Issue 1, pp. 115 - 132
This paper introduces shrinkage for general parametric models. We show how to shrink maximum likelihood estimators towards parameter subspaces defined by... 
Minimax | Nonlinear | Maximum likelihood | James–Stein | ARBITRARY QUADRATIC LOSS | LINEAR-REGRESSION | MINIMAX ESTIMATION | INFORMATION | James-Stein | CONFIDENCE SETS | MATHEMATICS, INTERDISCIPLINARY APPLICATIONS | ESTIMATORS | MULTIVARIATE NORMAL-DISTRIBUTION | SOCIAL SCIENCES, MATHEMATICAL METHODS | SUBSPACES | ECONOMICS
Journal Article
Skeletal Radiology, ISSN 0364-2348, 1/2018, Volume 47, Issue 1, pp. 61 - 68
Journal Article
Journal of the Royal Statistical Society. Series B (Statistical Methodology), ISSN 1369-7412, 6/2014, Volume 76, Issue 3, pp. 627 - 649
Journal Article
Annals of the American Association of Geographers, ISSN 2469-4452, 09/2019, Volume 109, Issue 5, pp. 1651 - 1670
Journal Article
Econometric Theory, ISSN 0266-4666, 09/2014, Volume 31, Issue 4, pp. 860 - 879
This paper is an extension of Magnus (2002, Econometrics Journal 5, 225-236) to multiple dimensions. We consider estimation of a multivariate normal mean under... 
REGRESSION | JAMES-STEIN ESTIMATOR | MATHEMATICS, INTERDISCIPLINARY APPLICATIONS | ADMISSIBLE MINIMAX ESTIMATORS | SPARSE MODELS | MULTIVARIATE NORMAL-DISTRIBUTION | STATISTICS & PROBABILITY | SOCIAL SCIENCES, MATHEMATICAL METHODS | ECONOMICS | SELECTION | FAMILY | Statistical analysis | Estimating techniques | Shrinkage | Econometrics
Journal Article
METHODOLOGY-EUROPEAN JOURNAL OF RESEARCH METHODS FOR THE BEHAVIORAL AND SOCIAL SCIENCES, ISSN 1614-1881, 04/2019, Volume 15, Issue 2, pp. 88 - 96
Multilevel models have recently been used to empirically investigate the idea that social characteristics are intersectional such as age, sex, ethnicity, and... 
intersectionality | COMPLEXITY | Empirical Bayes residuals | SOCIAL SCIENCES, MATHEMATICAL METHODS | PSYCHOLOGY, MATHEMATICAL | dummy variable regression | HEALTH | multilevel models | shrinkage
Journal Article
IEEE Transactions on Neural Networks and Learning Systems, ISSN 2162-237X, 08/2017, Volume 28, Issue 8, pp. 1851 - 1864
Journal Article
Journal of Food Engineering, ISSN 0260-8774, 01/2013, Volume 114, Issue 1, pp. 99 - 105
► Two different mathematical models for eggplant drying are here proposed. ► The equivalence of the two models is demonstrated under specific conditions. ►... 
Shrinkage | Eggplant | Mathematical model | Drying | DEHYDRATED POTATOES | POROSITY | THIN-LAYERS | QUALITY | FOOD SCIENCE & TECHNOLOGY | DENSITY | ENGINEERING, CHEMICAL | SLICES | PHYSICAL-CHARACTERISTICS | PRETREATMENT | KINETICS | MASS-TRANSFER | Mathematical analysis | Moisture content | Regression | Evolution | Mathematical models | Foods
Journal Article
Journal of the Royal Statistical Society. Series B (Statistical Methodology), ISSN 1369-7412, 3/2012, Volume 74, Issue 2, pp. 287 - 311
Journal Article