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Bootstrap model
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11	Relative efficiency of parametric and bootstrap estimates of costs Malcolm Hudson Department of Statistics DEFS, Macquarie University NSW, 2109, Australia Add to Reading List Source URL: stat.mq.edu.au Language: English - Date: 2009-07-18 23:01:21 Bootstrapping Non-parametric statistics Normal distribution Cholesterol Log-normal distribution Mixture model Logarithm Mixture distribution Statistics Statistical inference Statin
12	SYNOPSIS A "SIMPLE" STOCHASTIC MODEL FOR LONGEVITY RISK REVISITED THROUGH BOOTSTRAP Xu Shi, Bridget Browne Key words: Stochastic Mortality Modelling; Annuities; Longevity Risk; Bootstrap Purpose of your paper: We intend Add to Reading List Source URL: www.actuaries.asn.au Language: English - Date: 2014-11-30 03:02:24 Actuarial science Financial institutions Institutional investors Annuity Bootstrapping Economic model Insurance FORECAST Life annuity Financial economics Statistics Investment
13	8.6 Bayesian neural networks (BNN) [Book, Sect[removed]While cross-validation allows one to find the weight penalty parameters which would give the model good generalization capability, the separation of the data record in Add to Reading List Source URL: www.ocgy.ubc.ca Language: English - Date: 2013-11-09 02:48:24 Machine learning Computational science Econometrics Cross-validation Resampling Bootstrapping Bootstrap aggregating Numerical weather prediction Overfitting Statistics Statistical inference Computational statistics
14	1 Chapter 8 Bootstrap and Jackknife Estimation of Sampling Distributions 1. A General View of the Bootstrap Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2011-05-18 15:13:01 Estimation theory Data analysis Monte Carlo methods Resampling Bootstrapping Bias of an estimator Parametric model Efficient estimator Estimator Statistics Statistical inference Statistical theory
15	BENEFITS OF CREATING ENSEMBLES OF CLASSIFIERS Dean Abbott - Abbott Analytics Introduction In recent years, there has been an explosion of papers in the data mining community discussing how to combine models or model pred Add to Reading List Source URL: www.abbottanalytics.com Language: English - Date: 2010-08-10 08:15:57 Statistics Formal sciences Boosting Neural network Statistical classification Data mining Bootstrap aggregating Book:Machine Learning - The Complete Guide Machine learning Ensemble learning Artificial intelligence
16	Stat 511 HW#11 Spring[removed]An R function that will create bootstrap samples (taken from page 399 of Efron and Tibshirani) is > bootstrap<-function(x,nboot,theta) + {data Add to Reading List Source URL: www.public.iastate.edu Language: English - Date: 2003-05-02 15:45:42 Statistical inference Computational statistics Poisson processes Bootstrapping Weibull distribution Generalized linear model Median Log-normal distribution Exponential distribution Statistics Regression analysis Actuarial science
17	Chapter 20 Bootstrap, jackknife, and permutation tests As likelihood requires us to believe the probability model of evolution, it m ay unde restima te the amount of uncertainty abou t the tree. It would be desirable to Add to Reading List Source URL: hydrodictyon.eeb.uconn.edu Language: English - Date: 2013-10-27 15:24:17 Resampling Bootstrapping Bootstrap aggregating Maximum parsimony Statistics Statistical inference Computational statistics
18	SUPPORTING INFORMATION (SI) Add to Reading List Source URL: www.eawag.ch Language: English - Date: 2014-01-28 08:21:24 Statistical models Computational statistics Statistical methods Linear regression Bootstrapping Multicollinearity Dummy variable Bootstrap aggregating Linear model Statistics Regression analysis Econometrics
19	Modeling Hospitalization Outcomes with Random Decision Trees and Bayesian Feature Selection Thomson Van Nguyen† Bhubaneswar Mishra† Add to Reading List Source URL: ftp.cs.nyu.edu Language: English - Date: 2011-09-15 16:45:15 Ensemble learning Econometrics Model selection Cross-validation Bootstrap aggregating Training set Linear regression Random forest Feature selection Statistics Regression analysis Machine learning
20	Package ‘lme4’ July 19, 2014 Version 1.1-7 Title Linear mixed-effects models using Eigen and S4 Maintainer Ben Bolker Contact LME4 Authors Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-19 13:51:40 Regression analysis Data analysis Non-parametric statistics Bootstrapping Restricted maximum likelihood Resampling Mixed model Confidence interval Bootstrap aggregating Statistics Statistical inference Computational statistics

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