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2013, ISBN 1461468485, xiii, 600 pages
Book specializes in data analysis with focus on practice of predictive modeling Useful as a guide for practitioners Reader can reproduce all results using R. 
Prediction theory | Mathematical models | R (Computer program language) | Mathematical statistics | Statistics | Statistics and Computing/Statistics Programs | Statistics, general | Statistics for Life Sciences, Medicine, Health Sciences
Book
1986, 1, Monographs on statistics and applied probability (Series), ISBN 0412246201, Volume 26, ix, 175
Although there has been a surge of interest in density estimation in recent years, much of the published research has been concerned with purely technical matters with insufficient emphasis given... 
Estimation theory | Statistical Theory & Methods
Book
Journal Article
Journal Article
The Annals of statistics, ISSN 0090-5364, 12/2015, Volume 43, Issue 6, pp. 2624 - 2652
.... However, there has been little fundamental study on optimal estimation. In this paper, we establish optimal rate of convergence for graphon estimation... 
Graphon | Minimax rate | Network | Nonparametric regression | Stochastic block model | MATRIX | APPROXIMATION | STATISTICS & PROBABILITY | PREDICTION | stochastic block model | nonparametric regression | CONSISTENCY | EXCHANGEABLE ARRAYS | BLOCKMODELS | COMMUNITY DETECTION | graphon | minimax rate | STOCHASTIC BLOCK-MODELS | COMPLEX NETWORKS | LIKELIHOOD | 60G05
Journal Article
Journal of Machine Learning Research, ISSN 1533-7928, 07/2006, Volume 7, pp. 1231 - 1264
Journal Article
Methods in ecology and evolution, ISSN 2041-210X, 2017, Volume 8, Issue 11, pp. 1639 - 1644
.... Linear mixed effects models offer a versatile framework for estimating ICC and R. However, while point estimation and significance testing by likelihood ratio tests is straightforward, the quantification of uncertainty is not as easily achieved... 
nonparametric bootstrapping | animal personality | coefficient of determination | variance component analysis | generalized linear mixed‐effects models | software application | generalized linear mixed-effects models | ECOLOGY | Uncertainty | Biological effects | Statistical analysis | Statistical models | Reproducibility | Likelihood ratio | Models | Mathematical models | Significance | Variance | Clear cutting
Journal Article
12/2014, Cambridge Series in Statistical and Probabilistic Mathematics, ISBN 0521864011, Volume 38, 515
This book treats the latest developments in the theory of order-restricted inference, with special attention to nonparametric methods and algorithmic aspects.... 
Multivariate analysis | Mathematical statistics | Nonparametric statistics | Estimation theory
eBook
Journal of the American Statistical Association, ISSN 1537-274X, 2018, Volume 113, Issue 523, pp. 1228 - 1242
Many scientific and engineering challenges-ranging from personalized medicine to customized marketing recommendations-require an understanding of treatment... 
Unconfoundedness | Adaptive nearest neighbors matching | Asymptotic normality | Potential outcomes | REGRESSION | CONFIDENCE-INTERVALS | VALID POST-SELECTION | STATISTICS & PROBABILITY | JACKKNIFE | SUPPORT | NONPARAMETRIC-TESTS | PROPENSITY SCORE ESTIMATION | SUBGROUP ANALYSIS
Journal Article
1981, ISBN 9783540905233, Volume 16., vii, 403
Book
Automatica, ISSN 0005-1098, 08/2017, Volume 82, pp. 324 - 327
In this paper, the regularization approach introduced recently for nonparametric estimation of linear systems is extended to the estimation of nonlinear systems modeled as Volterra series... 
Nonparametric estimation | Volterra series | System identification | Nonlinear systems | Regularization | Gaussian processes | REGRESSION | LINEAR-SYSTEM IDENTIFICATION | AUTOMATION & CONTROL SYSTEMS | ENGINEERING, ELECTRICAL & ELECTRONIC | Computer Science - Systems and Control
Journal Article
Journal Article
Journal of the American Statistical Association, ISSN 0162-1459, 09/2004, Volume 99, Issue 467, pp. 619 - 632
Having constructed a data-based estimation rule, perhaps a logistic regression or a classification tree, the statistician would like to know its performance as a predictor of future cases... 
Rao-Blackwellization | Degrees of freedom | Parametric bootstrap | SURE | Nonparametric estimates | Statistical variance | Penalty function | Covariance | Theory and Methods | Linear regression | Polynomials | Modeling | Parametric models | Estimation methods | Optimism | C | REGRESSION | nonparametric estimates | BOOTSTRAP | degrees of freedom | C-p | parametric bootstrap | STATISTICS & PROBABILITY | Error analysis (Mathematics) | Methods | Analysis of variance
Journal Article
The Stata Journal, ISSN 1536-867X, 12/2018, Volume 18, Issue 4, pp. 937 - 950
Journal Article