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1. Improving efficiency by shrinkage
: the James-Stein and ridge regression estimators
by Gruber, Marvin H. J., 1941
1998, 1, Statistics, textbooks and monographs, ISBN 0824701569, Volume 156, xii, 632
Estimation theory | Regression analysis | Statistical Theory & Methods
Book
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2. Penalty, shrinkage and pretest strategies
: variable selection and estimation
by Ahmed, S. E. 1957- (Syed Ejaz)
2014, SpringerBriefs in statistics, ISBN 9783319031484, ix, 115
Mathematical statistics | Statistics
Book
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3. Full Text Online Bayesian shrinkage regression
by Jamil, Waqas and Bouchachia, Abdelhamid
Neural computing & applications, ISSN 0941-0643, 05/2020, Volume 32, Issue 23, pp. 17759 - 17767
Computer Science, Artificial Intelligence | Technology | Computer Science | Science & Technology | Artificial intelligence | Analysis | Algorithms | Sparsity | Upper bounds | Machine learning | Regression | Shrinkage | Bayesian analysis
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4. Full Text Using Shrinkage in Multilevel Models to Understand Intersectionality
: A Simulation Study and a Guide for Best Practice
by Bell, Andrew and Holman, Daniel and Jones, Kelvyn
Methodology, ISSN 1614-1881, 2019, Volume 15, Issue 2, pp. 88 - 96
Social Sciences | Mathematical Methods In Social Sciences | Social Sciences, Mathematical Methods | Psychology | Psychology, Mathematical
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5. Full Text Selecting Shrinkage Parameters for Effect Estimation The Multi-Ethnic Study of Atherosclerosis
by Keller, Joshua P and Rice, Kenneth M
American journal of epidemiology, ISSN 0002-9262, 02/2018, Volume 187, Issue 2, pp. 358 - 365
Life Sciences & Biomedicine | Public, Environmental & Occupational Health | Science & Technology | Parameter estimation | Computer simulation | Bias | Inference | Standard error | Shrinkage | Regression analysis | Epidemiology | Variance | Errors | Regression models | Arteriosclerosis | Atherosclerosis | Estimators | Smoking | Index Medicus | confounding factors (epidemiology) | model selection | Practice of Epidemiology | shrinkage estimators | LASSO
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6. Full Text Hierarchical Shrinkage in Time‐Varying Parameter Models
by Belmonte, Miguel A.G and Koop, Gary and Korobilis, Dimitris
Journal of forecasting, ISSN 0277-6693, 01/2014, Volume 33, Issue 1, pp. 80 - 94
hierarchical prior | time‐varying parameters | Bayesian Lasso | forecasting | time-varying parameters | Economics | Business & Economics | Social Sciences | Management | Studies | Inflation | Regression analysis | Shrinkage | Econometrics | Bayesian analysis | Eurozone
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7. Full Text Spontaneous shrinkage of solitary osteochondromas
by Aiba, Hisaki and Aiba, Hisaki and Yamada, Satoshi and Yamada, Satoshi and Yamamoto, Norio and Yamamoto, Norio and Hayashi, Katsuhiro and Hayashi, Katsuhiro and Miwa, Shinji and Miwa, Shinji and Tsuchiya, Hiroyuki and Tsuchiya, Hiroyuki and Otsuka, Takanobu and Otsuka, Takanobu
Skeletal radiology, ISSN 0364-2348, 1/2018, Volume 47, Issue 1, pp. 61 - 68
Pathology | Spontaneous regression | Medicine & Public Health | Orthopedics | Osteochondroma | Nuclear Medicine | Imaging / Radiology | Natural history | Life Sciences & Biomedicine | Radiology, Nuclear Medicine & Medical Imaging | Science & Technology | Medicine, Experimental | Medical research | Analysis | Tumors | Growth plate | Absorption | Morphology | Biocompatibility | Remission | Bone tumors | Shrinkage | Regression analysis | Patients | Index Medicus
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8. Full Text Mathematical modeling of eggplant drying: Shrinkage effect
by Brasiello, Antonio and Adiletta, Giuseppina and Russo, Paola and Crescitelli, Silvestro and Albanese, Donatella and Di Matteo, Marisa
Journal of food engineering, ISSN 0260-8774, 01/2013, Volume 114, Issue 1, pp. 99 - 105
Shrinkage | Eggplant | Mathematical model | Drying | Food Science & Technology | Engineering | Engineering, Chemical | Life Sciences & Biomedicine | Technology | Science & Technology | Fundamental and applied biological sciences. Psychology | Food industries | Biological and medical sciences | General aspects | Fruit and vegetable industries | Food engineering | Mathematical analysis | Moisture content | Regression | Evolution | Mathematical models | Foods
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9. Full Text Shrinkage priors for Bayesian penalized regression
by van Erp, Sara and Oberski, Daniel L and Mulder, Joris
Journal of mathematical psychology, ISSN 0022-2496, 04/2019, Volume 89, pp. 31 - 50
Empirical Bayes | Regression | Penalization | Bayesian | Shrinkage priors | empirical bayes | bayesian | penalization | Taverne | shrinkage priors | regression | Mathematics, Interdisciplinary Applications | Physical Sciences | Social Sciences | Social Sciences, Mathematical Methods | Psychology | Mathematics | Mathematical Methods In Social Sciences | Science & Technology | Psychology, Mathematical
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10. Full Text BAYESIAN VARIABLE SELECTION WITH SHRINKING AND DIFFUSING PRIORS
by Naveen Naidu Narisetty and Xuming He
The Annals of statistics, ISSN 0090-5364, 4/2014, Volume 42, Issue 2, pp. 789 - 817
Gaussian distributions | Sample size | Linear regression | Eigenvalues | Matrices | Mathematical vectors | Modeling | Parametric models | Probabilities | Oracles | Hierarchical model | Bayes factor | High dimensional data | Shrinkage | Variable selection | Statistics & Probability | Physical Sciences | Mathematics | Science & Technology | Studies | Probability | Mathematical models | Normal distribution | Bayesian analysis | 62J05 | high dimensional data | hierarchical model | variable selection | 62F12 | shrinkage | 62F15
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11. Full Text Adaptive Shrinkage in Bayesian Vector Autoregressive Models
by Huber, Florian and Feldkircher, Martin
Journal of business & economic statistics, ISSN 0735-0015, 01/2019, Volume 37, Issue 1, pp. 27 - 39
Stochastic volatility | Density predictions | Normal-Gamma prior | Hierarchical modeling | Economics | Statistics & Probability | Physical Sciences | Social Sciences | Social Sciences, Mathematical Methods | Business & Economics | Mathematics | Mathematical Methods In Social Sciences | Science & Technology
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12. Full Text Forecasting using a large number of predictors: Is Bayesian shrinkage a valid alternative to principal components?
by De Mol, Christine and Giannone, Domenico and Reichlin, Lucrezia
Journal of econometrics, ISSN 0304-4076, 2008, Volume 146, Issue 2, pp. 318 - 328
Ridge regression | Bayesian VAR | Large cross-sections | Lasso regression | Bayesian shrinkage | Principal components | Linear inference, regression | Inference from stochastic processes; time series analysis | Applications | Insurance, economics, finance | Exact sciences and technology | Mathematics | Probability and statistics | Multivariate analysis | Statistics | Sciences and techniques of general use | Bayesian shrinkage Bayesian VAR Ridge regression Lasso regression Principal components Large cross-sections | Studies | Regression analysis | Criteria | Forecasting techniques | Bayesian analysis | Time series
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13. Full Text Separating water‐potential induced swelling and shrinking from measured radial stem variations reveals a cambial growth and osmotic concentration signal
by Chan, Tommy and Hölttä, Teemu and Berninger, Frank and Mäkinen, Harri and Nöjd, Pekka and Mencuccini, Maurizio and Nikinmaa, Eero
Plant, cell and environment, ISSN 0140-7791, 02/2016, Volume 39, Issue 2, pp. 233 - 244
hydraulic conductance | xylem | phloem | dendrometer | elasticity | Elasticity | Dendrometer | Phloem | Xylem | Hydraulic conductance | Life Sciences & Biomedicine | Plant Sciences | Science & Technology | Temperature | Xylem - physiology | Osmosis | Photons | Pressure | Plant Stems - physiology | Cambium - growth & development | Regression Analysis | Rain | Environment | Seasons | Photosynthesis | Water - physiology | Plant Stems - growth & development | Water | Physiological aspects | Erythromycin | Growth | Analysis | Index Medicus
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