Reference health
Backward Simulation Methods for Monte Carlo Statistical Inference
101/101 checkable references clean · checked 2026-08-03
Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.
47 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.
The 101 checked references that resolve
resolves10.1214/aos/1176342871
Mixtures of Dirichlet Processes with Applications to Bayesian Nonparametric Problems
resolves10.1109/78.978374
A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking
resolves10.1093/genetics/164.3.1139
Estimation of Population Growth or Decline in Genetically Monitored Populations
resolves10.1080/00207178608933489
Two-filter formulae for discrete-time non-linear bayesian smoothing
resolves10.1109/JPROC.2007.893250
An Overview of Existing Methods and Recent Advances in Sequential Monte Carlo
resolves10.1109/18.868479
Adaptive joint detection and decoding in flat-fading channels via mixture Kalman filtering
resolves10.2307/2330812
Pricing European Currency Options: A Comparison of the Modified Black- Scholes Model and a Random Variance Model
resolves10.1111/j.2517-6161.1977.tb01600.x
Maximum Likelihood from Incomplete Data Via the
<i>EM</i>
Algorithm
resolves10.1214/10-AAP735
Sequential Monte Carlo smoothing for general state space hidden Markov models
resolves10.1214/07-AOS514
Limit theorems for weighted samples with applications to sequential Monte Carlo methods
resolves10.1016/j.amc.2010.03.138
On solving integral equations using Markov chain Monte Carlo methods
resolves10.3150/12-BEJ450
Non-asymptotic deviation inequalities for smoothed additive functionals in nonlinear state-space models
resolves10.1093/biomet/89.3.603
A simple and efficient simulation smoother for state space time series analysis
resolves10.1023/B:STCO.0000009418.04621.cd
Particle filters for mixture models with an unknown number of components
resolves10.1198/106186005X77243
Using Random Quasi-Monte-Carlo Within Particle Filters, With Application to Financial Time Series
resolves10.1214/aos/1059655912
Convergence of the Monte Carlo expectation maximization for curved exponential families
resolves10.1109/TPAMI.1984.4767596
Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
resolves10.1111/1467-9868.00280
Following a Moving Target—Monte Carlo Inference for Dynamic Bayesian Models
resolves10.1016/j.csda.2007.05.019
Bayesian inference for nonlinear multivariate diffusion models observed with error
resolves10.1093/biomet/82.4.711
Reversible jump Markov chain Monte Carlo computation and Bayesian model determination
resolves10.1080/00207176908905777
Monte Carlo techniques to estimate the conditional expectation in multi-stage non-linear filtering†
resolves10.1093/biomet/57.1.97
Monte Carlo sampling methods using Markov chains and their applications
resolves10.1080/10618600.1999.10474849
Applications of Hybrid Monte Carlo to Bayesian Generalized Linear Models: Quasicomplete Separation and Neural Networks
resolves10.1080/10618600.1996.10474692
Monte Carlo Filter and Smoother for Non-Gaussian Nonlinear State Space Models
resolves10.1214/009053605000000426
Recursive Monte Carlo filters: Algorithms and theoretical analysis
resolves10.1109/ICASSP.2013.6638872
An efficient stochastic approximation EM algorithm using conditional particle filters
resolves10.1109/ICASSP.2013.6638875
Rao-Blackwellized particle smoothers for mixed linear/nonlinear state-space models
resolves10.3182/20110828-6-IT-1002.02920
An explicit variance reduction expression for the Rao-Blackwellised particle filter
resolves10.2307/3315637
Sequential importance sampling for nonparametric Bayes models: The next generation
resolves10.1137/130915376
On Disturbance State-Space Models and the Particle Marginal Metropolis-Hastings Sampler
resolves10.3150/07-BEJ6150
Sequential Monte Carlo smoothing with application to parameter estimation in nonlinear state space models
resolves10.1109/TSP.2011.2161296
Rao-Blackwellization of Particle Markov Chain Monte Carlo Methods Using Forward Filtering Backward Sampling
resolves10.1016/j.jeconom.2012.06.004
On some properties of Markov chain Monte Carlo simulation methods based on the particle filter
resolves10.1111/1467-9868.00070
Updating Schemes, Correlation Structure, Blocking and Parameterization for the Gibbs Sampler
resolves10.3182/20120711-3-BE-2027.00115
A Backward-Simulation Based Rao-Blackwellized Particle Smoother for Conditionally Linear Gaussian Models
resolves10.1109/TSP.2005.849151
Marginalized particle filters for mixed linear/nonlinear state-space models
resolves10.1080/01621459.1987.10478458
The Calculation of Posterior Distributions by Data Augmentation
resolves10.1145/1143844.1143963
Probabilistic inference for solving discrete and continuous state Markov Decision Processes
resolves10.1109/78.978380
Delayed-pilot sampling for mixture Kalman filter with application in fading channels
resolves10.1080/01621459.1990.10474930
A Monte Carlo Implementation of the EM Algorithm and the Poor Man's Data Augmentation Algorithms
resolves10.1023/A:1020711129064
Conditional simulation from highly structured Gaussian systems, with application to blocking-MCMC for the Bayesian analysis of very large linear models
The 47 references without a DOI — listed, not checked
no DOI — not checkedProceedings of the 2000 International Workshop on Independent Component Analysis and Blind Signal Separation (ICA)
no DOI — not checkedAndrieu
C.
Vihola
M.
, Markovian stochastic approximation with expanding projections, arXiv.org, 1111.5421, November2011.
no DOI — not checkedAndrieu
C.
Vihola
M.
, Convergence properties of pseudo-marginal Markov chain Monte Carlo algorithms, arXiv.org, 1210.1484, October2012.
no DOI — not checkedPattern Recognition and Machine Learning
no DOI — not checkedSequential auxiliary particle belief propagation
no DOI — not checkedImproved particle approximations to the joint smoothing distribution using Markov chain Monte Carlo
no DOI — not checkedCentral limit theorem for sequential Monte Carlo methods and its application to Bayesian inference
no DOI — not checkedChopin
N.
Singh
S. S.
, On the particle Gibbs sampler, arXiv.org, 1304.1887, April2013.
no DOI — not checkedFeynman-Kac Formulae -Genealogical and Interacting Particle Systems with Applications
no DOI — not checkedDonnet
S.
Samson
A.
, EM algorithm coupled with particle filter for maximum likelihood parameter estimation of stochastic differential mixed-effects models, Technical Report, hal-00519576, v2, UniversitÉ Paris Descartes, MAP5, 2011.
no DOI — not checkedOptimality of the auxiliary particle filter
no DOI — not checkedProceedings of the 2000 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
no DOI — not checkedThe Oxford Handbook of Nonlinear Filtering
no DOI — not checkedDoucet
A.
Pitt
M. K.
Kohn
R.
, Efficient implementation of Markov chain Monte Carlo when using an unbiased likelihood estimator, arXiv.org, 1210.1871, October2012.
no DOI — not checkedDubarry
C.
Douc
R.
, Particle approximation improvement of the joint smoothing distribution with on-the-fly variance estimation, arXiv.org, 1107.5524, July2011.
no DOI — not checkedFrigola
R.
Lindsten
F.
Schön
T. B.
Rasmussen
C. E.
, Bayesian inference and learning in Gaussian process state-space models with particle MCMC, arXiv.org, 1306.2861, June2013.
no DOI — not checkedRiemann manifold Langevin and Hamiltonian Monte Carlo methods
no DOI — not checkedHall
J.
Pitt
M. K.
Kohn
R.
, Bayesian inference for nonlinear structural time series models, arXiv.org, 1209.0253, v2, September2012.
no DOI — not checkedFrom fields to trees
no DOI — not checkedInformation theory tools to rank MCMC algorithms on probabilistic graphical models
no DOI — not checkedBayesian Statistics 4
no DOI — not checkedAn expectation maximization algorithm for continuous Markov decision processes with arbitrary rewards
no DOI — not checkedNew inference strategies for solving Markov decision processes using reversible jump MCMC
no DOI — not checkedParticle belief propagation
no DOI — not checkedLinear Estimation
no DOI — not checkedFast maximum a posteriori inference in Monte Carlo state spaces
no DOI — not checkedBeat tracking the graphical model way
no DOI — not checkedTheory of Point Estimation
no DOI — not checkedAncestor sampling for particle Gibbs
no DOI — not checkedMonte Carlo Strategies in Scientific Computing
no DOI — not checkedFastSLAM: A scalable method for the simultaneous localization and mapping problem in robotics
no DOI — not checkedFastSLAM: A factored solution to the simultaneous localization and mapping problem
no DOI — not checkedInferring state sequences for non-linear systems with embedded hidden Markov models
no DOI — not checkedA new spline algorithm for non-linear filtering of discrete time systems
no DOI — not checkedBayesian Statistics
no DOI — not checkedProbabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference
no DOI — not checkedGaussian Processes for Machine Learning
no DOI — not checkedA noniterative sampling/importance resampling alternative to the data augmentation algorithm for creating a few imputations when fractions of missing information are modest: The SIR algorithm
no DOI — not checkedFunction factorization using warped Gaussian processes
no DOI — not checkedComputational Learning in Dynamical Systems
no DOI — not checkedThe use of Bayesian belief networks to fuse continuous and discrete information for target recognition, tracking, and situation assessment
no DOI — not checkedBayesian agglomerative clustering with coalescents
no DOI — not checkedMarkov chains for exploring posterior distributions
no DOI — not checkedDiscussion on Particle Markov chain Monte Carlo methods
no DOI — not checkedWhiteley
N.
Andrieu
C.
Doucet
A.
, Efficient Bayesian inference for switching state-space models using discrete particle Markov chain Monte Carlo methods, Technical report, Bristol Statistics Research Report 10:04, 2010.
no DOI — not checkedWhiteley
N.
Andrieu
C.
Doucet
A.
, Bayesian computational methods for inference in multiple change-points models, Submitted, 2011.
no DOI — not checkedAlgorithm AS 287: Adaptive rejection sampling from log-concave density functions
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.
checked 2026-08-03 — re-checked daily as this page is visited; titles and statuses come from Crossref and DataCite and are not part of the signed record
Embed this badge
Both snippets point at the live badge image and link back to this page. The badge re-renders from the daily check, so an embed never goes stale by more than a day of visits.
<a href="https://citestamp.com/citestamped/10.1561/2200000045"><img src="https://citestamp.com/citestamped/10.1561/2200000045/badge.svg" alt="CiteStamped reference-health badge" width="460" height="64"></a>
[](https://citestamp.com/citestamped/10.1561/2200000045)