Importance sampling and its optimality for stochastic simulation models
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Publication:2326062
DOI10.1214/19-EJS1604zbMath1429.62167arXiv1710.00473MaRDI QIDQ2326062
Publication date: 4 October 2019
Published in: Electronic Journal of Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1710.00473
Asymptotic properties of nonparametric inference (62G20) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Nonparametric estimation (62G05) Applications of statistics in engineering and industry; control charts (62P30)
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- Nonparametric modal regression
- Nonparametric ridge estimation
- Asymptotic theory for density ridges
- Methods for approximating integrals in statistics with special emphasis on Bayesian integration problems
- Importance sampling the union of rare events with an application to power systems analysis
- Uncertainty quantification of stochastic simulation for black-box computer experiments
- A distribution-free theory of nonparametric regression
- Rates of strong uniform consistency for multivariate kernel density estimators. (Vitesse de convergence uniforme presque sûre pour des estimateurs à noyaux de densités multivariées)
- Introduction to rare event simulation.
- Weak convergence and empirical processes. With applications to statistics
- Uniform in bandwidth consistency of kernel-type function estimators
- Efficient Nested Simulation for Estimating the Variance of a Conditional Expectation
- Importance Sampling for Stochastic Simulations
- Handbook of Monte Carlo Methods
- Bayesian Treed Gaussian Process Models With an Application to Computer Modeling
- Stochastic Kriging for Simulation Metamodeling
- Importance Sampling for Portfolio Credit Risk
- Adaptive Multiple Importance Sampling
- Monte Carlo Computation in Finance
- Asymptotic Statistics
- Nonparametric Importance Sampling
- Safe and Effective Importance Sampling
- Fast simulation of rare events in queueing and reliability models
- Multivariate Density Estimation
- Computationally Efficient Nonparametric Importance Sampling
- Bayesian Emulation and Calibration of a Stochastic Computer Model of Mitochondrial DNA Deletions in Substantia Nigra Neurons
- Post-Fisherian Experimentation: From Physical to Virtual
- Methods of Reducing Sample Size in Monte Carlo Computations
- Two-Stage Importance Sampling With Mixture Proposals
- All of Nonparametric Statistics
- Generalized Additive Models for Location, Scale and Shape
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