Relevant states and memory in Markov chain bootstrapping and simulation
type: Item
instance of: scholarly article
title: Relevant states and memory in Markov chain bootstrapping and simulation
zbMATH Open document ID: 1394.90553
author: Roy Cerqueti
author: Paolo Falbo
author: Cristian Pelizzari
published in: European Journal of Operational Research
publication date: 2018-05-24T00:00:00Z
full work available at URL: Main document CPL.pdf
Mathematics Subject Classification ID: 90C40
Mathematics Subject Classification ID: 62G09
Mathematics Subject Classification ID: 62M05
Mathematics Subject Classification ID: 62M10
zbMATH DE Number: 6872197
zbMATH Keywords: bootstrapping
zbMATH Keywords: information theory
zbMATH Keywords: Markov chains
zbMATH Keywords: optimization
zbMATH Keywords: simulation
describes a project that uses: bootstrap
MaRDI profile type: Publication
OpenAlex ID: W2120486698
cites work: Bootstrapping Markov chains: Countable case
cites work: The minimum description length principle in coding and modeling
cites work: Asymptotic bootstrap validity for finite markov chains
cites work: Bayesian Hypothesis Testing: A Reference Approach
cites work: Regenerative block-bootstrap for Markov chains
cites work: Second-order properties of regeneration-based bootstrap for atomic Markov chains
cites work: Sieve bootstrap for time series
cites work: Sieve Bootstrap With Variable-Length Markov Chains for Stationary Categorical Time Series
cites work: Block length selection in the bootstrap for time series
cites work: Variable length Markov chains
cites work: The use of subseries values for estimating the variance of a general statistic from a stationary sequence
cites work: A tabu search heuristic procedure in Markov chain bootstrapping
cites work: A minimum description length approach to hidden Markov models with Poisson and Gaussian emissions. Application to order identification
cites work: On functional equations for \(K\)th best policies in Markov decision processes
cites work: Production and availability policies through the Markov decision process and myopic methods for contractual and selective orders
cites work: Higher-order multivariate Markov chains and their applications
cites work: Large-scale typicality of Markov sample paths and consistency of MDL order estimators
cites work: The consistency of the BIC Markov order estimator.
cites work: Regeneration-based bootstrap for Markov chains
cites work: Q4869550
cites work: Real-time dynamic programming for Markov decision processes with imprecise probabilities
cites work: Approximation of Markov decision processes with general state space
cites work: Bootstrap methods: another look at the jackknife
cites work: Bootstrap methods for standard errors, confidence intervals, and other measures of statistical accuracy
cites work: Q4318617
cites work: Universal prediction of individual sequences
cites work: On bootstrapping two-stage least-squares estimates in stationary linear models
cites work: Equivalence notions and model minimization in Markov decision processes
cites work: Resampling a coverage pattern
cites work: On blocking rules for the bootstrap with dependent data
cites work: Bootstrap Methods for Markov Processes
cites work: Simulation-based optimization of Markov decision processes: an empirical process theory approach
cites work: Strongly consistent code-based identification and order estimation for constrained finite-state model classes
cites work: Q3214803
cites work: Countable state Markov process bootstrap
cites work: Q3481113
cites work: The jackknife and the bootstrap for general stationary observations
cites work: Resampling methods for dependent data
cites work: A nonparametric plug-in rule for selecting optimal block lengths for block bootstrap methods
cites work: Order estimation and sequential universal data compression of a hidden Markov source by the method of mixtures
cites work: Q4869557
cites work: On the estimation of the order of a Markov chain and universal data compression
cites work: Order Estimation of Markov Chains
cites work: New approximate dynamic programming algorithms for large-scale undiscounted Markov decision processes and their application to optimize a production and distribution system
cites work: Markov decision processes with multidimensional action spaces
cites work: Tapered block bootstrap
cites work: A MARKOVIAN LOCAL RESAMPLING SCHEME FOR NONPARAMETRIC ESTIMATORS IN TIME SERIES ANALYSIS
cites work: The tapered block bootstrap for general statistics from stationary sequences
cites work: The local bootstrap for Markov processes
cites work: A general resampling scheme for triangular arrays of \(\alpha\)-mixing random variables with application to the problem of spectral density estimation
cites work: The Stationary Bootstrap
cites work: Automatic Block-Length Selection for the Dependent Bootstrap
cites work: Bootstrap in Markov-sequences based on estimates of transition density
cites work: Modeling by shortest data description
cites work: A universal data compression system
cites work: Complexity of strings in the class of Markov sources
cites work: Universal modeling and coding

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Relevant states and memory in Markov chain bootstrapping and simulation (DOI)
DOI: 10.1016/J.EJOR.2016.06.006