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Markov Chain Monte Carlo Models, Gibbs Sampling, & Metropolis Algorithm for High-Dimensionality Complex Stochastic Problems

https://doi.org/10.2139/ssrn.2553537
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1 of 29 checkable references need attention · checked 2026-08-27

At the dated check, the references listed below either did not resolve in Crossref or DataCite, or carried a retraction notice. Each one is shown with the registry record that put it there.

24 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.

References needing attention

does not resolve to a known work10.2307/2335011
The 28 checked references that resolve
resolves10.1109/5992.814660
The Metropolis Algorithm
resolves10.1080/00031305.1992.10475878
Explaining the Gibbs Sampler
resolves10.1007/s11222-011-9232-5
Decrypting classical cipher text using Markov chain Monte Carlo
resolves10.1090/s0273-0979-08-01238-x
The Markov chain Monte Carlo revolution
resolves10.1198/073500101316970403
MCMC Analysis of Diffusion Models With Application to Finance
resolves10.1109/wifs.2012.6412647
Decoding fingerprints using the Markov Chain Monte Carlo method
resolves10.1201/9781482296426
Markov Chain Monte Carlo
resolves10.1201/9780429258480
Bayesian Data Analysis
resolves10.1109/tpami.1984.4767596
Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
resolves10.1201/b10905-2
Introduction to Markov Chain Monte Carlo
resolves10.1093/biomet/57.1.97
Monte Carlo sampling methods using Markov chains and their applications
resolves10.1109/mnet.2009.4804323
A simple and efficient hidden Markov model scheme for host-based anomaly intrusion detection
resolves10.1145/1150402.1150428
Adaptive event detection with time-varying poisson processes
resolves10.5120/3399-4730
A Review of Anomaly based Intrusion Detection Systems
resolves10.2139/ssrn.2555098
A Risk Management Framework for Penetration Testing of Global Banking & Finance Networks VoIP Protocols
resolves10.2139/ssrn.2911623
Bitcoin Protocol: Model of Cryptographic Prooff Based Global Crypto-Currency & Electronic Payments System
resolves10.1109/icpr.2004.1334678
Bayesian face recognition using a Markov chain Monte Carlo method
resolves10.1080/01621459.1949.10483310
The Monte Carlo Method
resolves10.2172/4390578
Equation of state calculations by fast computing machines
resolves10.1109/tifs.2005.863507
A Markov Chain Monte Carlo Algorithm for Bayesian Dynamic Signature Verification
resolves10.1016/0021-9991(81)90214-x
Guidelines for choosing the transition matrix in Monte Carlo methods using Markov chains
resolves10.1214/10-sts351
A Short History of Markov Chain Monte Carlo: Subjective Recollections from Incomplete Data
resolves10.1080/10618600.1999.10474840
Bayesian Analysis of a Two-State Markov Modulated Poisson Process
resolves10.2991/emeit.2012.27
Study on HMM Based Anomaly Intrusion Detection Using System Calls
resolves10.1145/2090276.2090287
Pseudorandomness and derandomization
resolves10.1145/1653662.1653707
The bayesian traffic analysis of mix networks
resolves10.1002/9780470644560
Analysis of Financial Time Series
resolves10.1002/0471746193
Analysis of Financial Time Series
The 24 references without a DOI — listed, not checked
no DOI — not checkedref4
no DOI — not checkedJohn von Neumann, and the Monte Carlo Method
no DOI — not checkedref13
no DOI — not checkedA primer on Markov chain Monte Carlo. University of Bristol
no DOI — not checkedRandomised attacks on passwords
no DOI — not checkedref17
no DOI — not checkedThe Markov chain Monte Carlo method: An approach to approximate counting and integration
no DOI — not checkedref22
no DOI — not checkedref24
no DOI — not checkedref25
no DOI — not checkedref27
no DOI — not checkedref28
no DOI — not checkedref29
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no DOI — not checkedref31
no DOI — not checkedref35
no DOI — not checkedref40
no DOI — not checkedref41
no DOI — not checkedref43
no DOI — not checkedDetecting Network Intrusion Using a Markov Modulated Non-homogeneous Poisson Process
no DOI — not checkedAn Introduction to Markov Chain Monte Carlo Methods and Their Actuarial Applications
no DOI — not checkedMarkov Chain Monte Carlo and Gibbs Sampling
no DOI — not checkedref52
no DOI — not checkedA Dendritic Cell Inspired Security System in Wireless Sensor Networks
What this badge says. CiteStamped means the CHECKABLE references of this work were clean at the dated check: each resolved to a known work in a public registry, and none carried a retraction notice at that time. It says nothing about the quality, findings, or importance of the work itself, and nothing about references deposited without a DOI.

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