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Evolutionary Sequential Monte Carlo Samplers for Change-Point Models

https://doi.org/10.2139/ssrn.2657734
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1 of 35 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.

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References needing attention

does not resolve to a known work10.2307/2291091
The 34 checked references that resolve
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Particle Markov Chain Monte Carlo Methods
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On adaptive Markov chain Monte Carlo algorithms
resolves10.1016/j.jeconom.2013.08.017
Marginal likelihood for Markov-switching and change-point GARCH models
resolves10.1214/15-aap1113
On the convergence of adaptive sequential Monte Carlo methods
resolves10.1016/s0304-4076(97)00115-2
Estimation and comparison of multiple change-point models
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Markov chain Monte Carlo methods for stochastic volatility models
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A sequential particle filter method for static models
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SMC2: An Efficient Algorithm for Sequential Analysis of State Space Models
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A general purpose sampling algorithm for continuous distributions (the t-walk)
resolves10.1109/tevc.2010.2059031
Differential Evolution: A Survey of the State-of-the-Art
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On adaptive resampling strategies for sequential Monte Carlo methods
resolves10.2139/ssrn.2251635
Adaptive Sequential Posterior Simulators for Massively Parallel Computing Environments
resolves10.1016/j.stamet.2013.08.006
Markov chain Monte Carlo based on deterministic transformations
resolves10.1023/A:1024653025686
A Trigonometric Mutation Operation to Differential Evolution
resolves10.1214/13-ba814
An Adaptive Sequential Monte Carlo Sampler
resolves10.1086/670067
<tt>emcee</tt> : The MCMC Hammer
resolves10.1016/j.jeconom.2013.05.002
Efficient learning via simulation: A marginalized resample-move approach
resolves10.2307/1913710
Bayesian Inference in Econometric Models Using Monte Carlo Integration
resolves10.1214/ss/1177011137
Practical Markov Chain Monte Carlo
resolves10.1111/1467-9868.00280
Following a Moving Target—Monte Carlo Inference for Dynamic Bayesian Models
resolves10.1049/ip-f-2.1993.0015
Novel approach to nonlinear/non-Gaussian Bayesian state estimation
resolves10.3386/w19152
Sequential Monte Carlo Sampling for DSGE Models
resolves10.1111/j.1467-9469.2010.00723.x
Inference for Lévy‐Driven Stochastic Volatility Models via Adaptive Sequential Monte Carlo
resolves10.1007/s11222-007-9028-9
On population-based simulation for static inference
resolves10.1029/2010wr010217
Bayesian calibration and uncertainty analysis of hydrological models: A comparison of adaptive Metropolis and sequential Monte Carlo samplers
resolves10.1115/1.3662552
A New Approach to Linear Filtering and Prediction Problems
resolves10.1023/A:1008923215028
Annealed importance sampling
resolves10.1109/5.18626
A tutorial on hidden Markov models and selected applications in speech recognition
resolves10.1214/ss/1015346320
Optimal scaling for various Metropolis-Hastings algorithms
resolves10.2307/2684170
Bayesian Statistics without Tears: A Sampling-Resampling Perspective
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Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces
resolves10.1515/ijnsns.2009.10.3.273
Accelerating Markov Chain Monte Carlo Simulation by Differential Evolution with Self-Adaptive Randomized Subspace Sampling
resolves10.1007/978-3-642-04944-6_14
Firefly Algorithms for Multimodal Optimization
resolves10.1177/003754978203900207
Book Reviews : Alternating sequential/parallel processing Y. Wallach Lecture Notes in Computer Science, Springer, Berlin- Heidelberg-New York, 1982, 329 pp., approximately $15
The 1 reference without a DOI — listed, not checked
no DOI — not checkedEstimating and forecasting structural breaks in financial time series
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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