Distributions and bootstrap for data-based stochastic programming
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Publication:6538818
DOI10.1007/s10287-024-00512-3MaRDI QIDQ6538818
Unnamed Author, David L. Woodruff
Publication date: 14 May 2024
Published in: Computational Management Science (Search for Journal in Brave)
Cites Work
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- Bagging predictors
- Fusion of hard and soft information in nonparametric density estimation
- On smoothing and the bootstrap
- Asymptotic analysis of stochastic programs
- Monte Carlo bounding techniques for determinig solution quality in stochastic programs
- Inference of statistical bounds for multistage stochastic programming problems
- A smooth block bootstrap for quantile regression with time series
- Assessing policy quality in a multistage stochastic program for long-term hydrothermal scheduling
- Analyzing bagging
- The empirical behavior of sampling methods for stochastic programming
- Adaptive Data-Driven Inventory Control with Censored Demand Based on Kaplan-Meier Estimator
- Modeling with Stochastic Programming
- Introduction to Stochastic Programming
- A Sequential Sampling Procedure for Stochastic Programming
- Importance Sampling in Stochastic Programming: A Markov Chain Monte Carlo Approach
- The bootstrap: To smooth or not to smooth?
- Nonparametric estimates of standard error: The jackknife, the bootstrap and other methods
- Stochastic Decomposition: An Algorithm for Two-Stage Linear Programs with Recourse
- Smoothing the Bootstrap
- Fixed-Width Sequential Stopping Rules for a Class of Stochastic Programs
- Multivariate Density Estimation
- Stochastic Integer Programming: Limit Theorems and Confidence Intervals
- Smoothed bagging with kernel bandwidth selectors
- Software for Data-Based Stochastic Programming Using Bootstrap Estimation
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