@inproceedings{Hol2006,
  title = {On Resampling Algorithms for Particle Filters},
  url = {http://dx.doi.org/10.1109/NSSPW.2006.4378824},
  DOI = {10.1109/nsspw.2006.4378824},
  booktitle = {2006 IEEE Nonlinear Statistical Signal Processing Workshop},
  publisher = {IEEE},
  author = {Hol,  Jeroen D. and Schon,  Thomas B. and Gustafsson,  Fredrik},
  year = {2006},
  month = sep
}

@inproceedings{Douc2005,
  title = {Comparison of resampling schemes for particle filtering},
  ISSN = {1845-5921},
  url = {http://dx.doi.org/10.1109/ISPA.2005.195385},
  DOI = {10.1109/ispa.2005.195385},
  booktitle = {ISPA 2005. Proceedings of the 4th International Symposium on Image and Signal Processing and Analysis,  2005.},
  publisher = {IEEE},
  author = {Douc,  R. and Cappe,  O.},
  year = {2005}
}

@article{Naesseth2019,
  title = {Elements of Sequential Monte Carlo},
  volume = {12},
  ISSN = {1935-8245},
  url = {http://dx.doi.org/10.1561/2200000074},
  DOI = {10.1561/2200000074},
  number = {3},
  journal = {Foundations and Trends{\textregistered} in Machine Learning},
  publisher = {Now Publishers},
  author = {Naesseth,  Christian A. and Lindsten,  Fredrik and Sch\"{o}n,  Thomas B.},
  year = {2019},
  pages = {187–306}
}



@article{Kantas2015,
  title = {On Particle Methods for Parameter Estimation in State-Space Models},
  volume = {30},
  ISSN = {0883-4237},
  url = {http://dx.doi.org/10.1214/14-STS511},
  DOI = {10.1214/14-sts511},
  number = {3},
  journal = {Statistical Science},
  publisher = {Institute of Mathematical Statistics},
  author = {Kantas,  Nikolas and Doucet,  Arnaud and Singh,  Sumeetpal S. and Maciejowski,  Jan and Chopin,  Nicolas},
  year = {2015},
  month = aug
}

@phdthesis{steinSequentialInferenceMallows2023,
  title = {Sequential {{Inference}} with the {{Mallows Model}}},
  author = {Stein, Anja},
  year = {2023},
  langid = {english},
  school = {Lancaster University},
  file = {/Users/oyss/Zotero/storage/X86DWC3A/Stein - 2023 - Sequential Inference with the Mallows Model.pdf;/Users/oyss/Zotero/storage/KWL38NJU/195759.html}
}


@inproceedings{kamishima2003nantonac,
  title={Nantonac collaborative filtering: recommendation based on order responses},
  author={Kamishima, Toshihiro},
  booktitle={Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining},
  pages={583--588},
  year={2003}
}

@article{berzuini2003particle,
  title={Particle filtering methods for dynamic and static Bayesian problems},
  author={Berzuini, Carlo and Gilks, Walters R},
  journal={OXFORD STATISTICAL SCIENCE SERIES},
  volume={1},
  number={27},
  pages={207--227},
  year={2003},
  publisher={Oxford University Press}
}

@incollection{berzuini2001resample,
  title={RESAMPLE-MOVE filtering with cross-model jumps},
  author={Berzuini, Carlo and Gilks, Walter},
  booktitle={Sequential Monte Carlo Methods in Practice},
  pages={117--138},
  year={2001},
  publisher={Springer}
}


@article{chopin2002sequential,
  title={A sequential particle filter method for static models},
  author={Chopin, Nicolas},
  journal={Biometrika},
  volume={89},
  number={3},
  pages={539--552},
  year={2002},
  publisher={Oxford University Press}
}

@article{diaconis1988,
 ISSN = {07492170},
 author = {Persi Diaconis},
 journal = {Lecture Notes-Monograph Series},
 pages = {i--192},
 publisher = {Institute of Mathematical Statistics},
 title = {Group Representations in Probability and Statistics},
 volume = {11},
 year = {1988}
 }

@article{doucet2009tutorial,
  title={A tutorial on particle filtering and smoothing: Fifteen years later},
  author={Doucet, Arnaud and Johansen, Adam M},
  journal={Handbook of nonlinear filtering},
  volume={12},
  number={656-704},
  pages={3},
  year={2009}
}

@article{del2006sequential,
  title={Sequential monte carlo samplers},
  author={Del Moral, Pierre and Doucet, Arnaud and Jasra, Ajay},
  journal={Journal of the Royal Statistical Society: Series B (Statistical Methodology)},
  volume={68},
  number={3},
  pages={411--436},
  year={2006},
  publisher={Wiley Online Library}
}

@article{sorensen2020,
  title = {{{BayesMallows}}: {{An R Package}} for the {{Bayesian Mallows Model}}},
  shorttitle = {{{BayesMallows}}},
  author = {S{\o}rensen, {\O}ystein and Crispino, Marta and Liu, Qinghua and Vitelli, Valeria},
  doi = {10.32614/RJ-2020-026},
  year = {2020},
  volume = {12},
  pages = {324--342},
  journal = {The R Journal},
  number = {1}
}




@article{crispino2022,
  title = {Informative {{Priors}} for the {{Consensus Ranking}} in the {{Bayesian Mallows Model}}},
  author = {Crispino, Marta and {Antoniano-Villalobos}, Isadora},
  year = {2022},
  month = jan,
  journal = {Bayesian Analysis},
  pages = {1--24},
  publisher = {{International Society for Bayesian Analysis}},
  issn = {1936-0975, 1931-6690},
  doi = {10.1214/22-BA1307},
  keywords = {62F07,62F15,Bayesian subjective inference,conjugate priors,Mallows model for rankings,permutations,permutohedron,Ranking data},
  file = {/Users/oystein/Zotero/storage/I79Q2CNJ/22-BA1307.html}
}




@article{barrett2018,
  doi = {10.1080/09298215.2018.1437187},
  year = {2018},
  month = feb,
  publisher = {Informa {UK} Limited},
  volume = {47},
  number = {5},
  pages = {399--415},
  author = {Barrett, N. and Crispino, Marta},
  title = {The impact of 3-D sound spatialisation on listeners' understanding of human agency in acousmatic music},
  journal = {Journal of New Music Research}
}

@article{liu2019b,
  doi = {10.1016/j.knosys.2019.104960},
  year = {2019},
  month = dec,
  publisher = {Elsevier {BV}},
  volume = {186},
  pages = {104960},
  author = {Liu, Q. and Reiner, A.H. and Frigessi, A. and Scheel, I.},
  title = {Diverse personalized recommendations with uncertainty from implicit preference data with the Bayesian Mallows model},
  journal = {Knowledge-Based Systems}
}

@article{vitelli2018,
  author = {Vitelli, V. and S{\o}rensen, {\O}. and {Crispino}, M. and {Arjas}, E. and {Frigessi}, A.},
  journal = "Journal of Machine Learning Research",
  volume = "18",
  number = "1",
  pages = "1--49",
  title = "Probabilistic Preference Learning with the Mallows Rank Model",
  year = "2018",
  url = "https://jmlr.org/papers/v18/15-481.html"
}


@article{Stephens2000,
author = {Stephens, Matthew},
title = {Dealing with label switching in mixture models},
journal = {Journal of the Royal Statistical Society: Series B (Statistical Methodology)},
volume = {62},
number = {4},
pages = {795-809},
keywords = {Bayesian approach, Classification, Clustering, Identifiability, Markov chain Monte Carlo methods, Mixture model, Multimodal posterior},
doi = {10.1111/1467-9868.00265},
year = {2000}
}


@Manual{Grimonprez2016,
    title = {Rankcluster: Model-Based Clustering for Multivariate Partial Ranking Data},
    author = {Quentin Grimonprez and Julien Jacques},
    year = {2016},
    note = {R package version 0.94},
    url = {https://CRAN.R-project.org/package=Rankcluster},
  }


@article{asfaw2016,
  doi = {10.1002/sta4.132},
  year = {2016},
  month = dec,
  publisher = {Wiley},
  volume = {6},
  number = {1},
  pages = {14--30},
  author = {Asfaw, D. and Vitelli, V. and S{\o}rensen, {\O} and Arjas, E. and Frigessi, A.},
  title = {Time-varying rankings with the Bayesian Mallows model},
  journal = {Stat}
}


@article{crispino2019,
  doi = {10.1214/18-aoas1203},
  year = {2019},
  month = mar,
  publisher = {Institute of Mathematical Statistics},
  volume = {13},
  number = {1},
  pages = {492--519},
  author = {Crispino, Marta and Arjas, E. and Vitelli, V. and Barrett, N. and Frigessi, A.},
  title = {A Bayesian Mallows approach to nontransitive pair comparison data: How human are sounds?},
  journal = {The Annals of Applied Statistics}
}


@article{liu2019,
  author = {Liu, Q. and Crispino, Marta and Scheel, I. and Vitelli, V. and Frigessi, A.},
  title = {Model-Based Learning from Preference Data},
  journal = {Annual Review of Statistics and Its Application},
  volume = {6},
  number = {1},
  year = {2019},
  doi = {10.1146/annurev-statistics-031017-100213}
}



@article{wickham2014,
   author = {Hadley  Wickham},
   title = {Tidy Data},
   journal = {Journal of Statistical Software, Articles},
   volume = {59},
   number = {10},
   year = {2014},
   issn = {1548-7660},
   pages = {1--23},
   doi = {10.18637/jss.v059.i10}
}


@book{gelman2004,
  added-at = {2009-10-28T04:42:52.000+0100},
  author = {Gelman, Andrew and Carlin, John B. and Stern, Hal S. and Rubin, Donald B.},
  citeulike-article-id = {106919},
  date-added = {2007-09-03 22:45:16 -0500},
  date-modified = {2007-09-03 22:45:16 -0500},
  edition = {2nd ed.},
  interhash = {9c5f4ce8c45003080aa52ac74eb4c78c},
  intrahash = {f7d7012c81d89965db2cfedf698f53c7},
  keywords = {bayesian statistics},
  publisher = {Chapman and Hall/CRC},
  timestamp = {2009-10-28T04:43:08.000+0100},
  title = {Bayesian Data Analysis},
  year = 2004
}

 @Article{irurozki2016,
    title = {{PerMallows}: An {R} Package for Mallows and Generalized Mallows Models},
    author = {Ekhine Irurozki and Borja Calvo and Jose A. Lozano},
    journal = {Journal of Statistical Software},
    year = {2016},
    volume = {71},
    number = {12},
    pages = {1--30},
    doi = {10.18637/jss.v071.i12},
  }


@article{papastamoulis2016,
   author = {Panagiotis Papastamoulis},
   title = {label.switching: An R Package for Dealing with the Label Switching Problem in MCMC Outputs},
   journal = {Journal of Statistical Software, Code Snippets},
   volume = {69},
   number = {1},
   year = {2016},
   issn = {1548-7660},
   pages = {1--24},
   doi = {10.18637/jss.v069.c01}
}



@article{papastamoulis2010,
  author = {Panagiotis Papastamoulis and George Iliopoulos},
  title = {An Artificial Allocations Based Solution to the Label Switching Problem in Bayesian Analysis of Mixtures of Distributions},
  journal = {Journal of Computational and Graphical Statistics},
  volume = {19},
  number = {2},
  pages = {313-331},
  year  = {2010},
  publisher = {Taylor & Francis},
  doi = {10.1198/jcgs.2010.09008}
    }


@inproceedings{kamishima2003,
 author = {Kamishima, T.},
 title = {Nantonac Collaborative Filtering: Recommendation Based on Order Responses},
 booktitle = {Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining},
 year = {2003},
 location = {Washington, D.C.},
 pages = {583--588},
 numpages = {6},
 publisher = {ACM},
 address = {New York, NY, USA}
 }


@article{mallows1957,
	Author = {C. L. Mallows},
	Journal = {Biometrika},
	Pages = {114--130},
	  number = {1/2},
	Title = {Non-Null Ranking Models. {I}},
	Volume = {44},
	Year = {1957}}


@article{link2011,
author = {Link, William A. and Eaton, Mitchell J.},
title = {On thinning of chains in MCMC},
journal = {Methods in Ecology and Evolution},
year = {2011},
volume = {3},
number = {1},
pages = {112-115},
keywords = {Markov chain Monte Carlo, thinning, WinBUGS},
doi = {10.1111/j.2041-210X.2011.00131.x}
}


@article{mukherjee2016,
  doi = {10.1214/15-aos1389},
  year = {2016},
  month = apr,
  publisher = {Institute of Mathematical Statistics},
  volume = {44},
  number = {2},
  pages = {853--875},
  author = {Mukherjee, S.},
  title = {Estimation in exponential families on permutations},
  journal = {The Annals of Statistics}
}

@Manual{meredith2018,
  title = {HDInterval: Highest (Posterior) Density Intervals},
  author = {Mike Meredith and John Kruschke},
  year = {2018},
  note = {R package version 0.2.0},
  url = {https://CRAN.R-project.org/package=HDInterval},
}


@article{Irurozki2014,
  AUTHOR =        {Ekhine Irurozki and Josu Ceberio and Borja Calvo and
               Jose A. Lozano},
  TITLE =         {Sampling and learning the Mallows model under the Ulam distance},
  YEAR = {2014},
  JOURNAL = {Technical Report},
  url = {https://addi.ehu.es/handle/10810/11241}
}

@article{eliseussenRankbasedBayesianVariable2022,
  title = {Rank-Based {{Bayesian}} Variable Selection for Genome-Wide Transcriptomic Analyses},
  author = {Eliseussen, Emilie and Fleischer, Thomas and Vitelli, Valeria},
  year = {2022},
  journal = {Statistics in Medicine},
  volume = {41},
  number = {23},
  pages = {4532--4553},
  issn = {1097-0258},
  doi = {10.1002/sim.9524},
  urldate = {2023-08-29},
  copyright = {\textcopyright{} 2022 The Authors. Statistics in Medicine published by John Wiley \& Sons Ltd.},
  langid = {english},
  keywords = {Bayesian inference,high-dimensional data,Mallows ranking model,unsupervised learning,variable selection},
  file = {/Users/oyss/Zotero/storage/PD5QUS62/Eliseussen et al. - 2022 - Rank-based Bayesian variable selection for genome-.pdf}
}



@book{marden1995,
  title = {Analyzing and Modeling Rank Data},
  author = {Marden, J. I.},
  year = {1995},
  series = {Monographs on Statistics and Applied Probability},
  volume = {64},
  publisher = {{Chapman \& Hall}},
  address = {{Cambridge, MA, USA}}
}

@article{fligner1986,
 ISSN = {00359246},
 URL = {https://doi.org/10.1111/j.2517-6161.1986.tb01420.x},
 author = {M. A. Fligner and J. S. Verducci},
 journal = {Journal of the Royal Statistical Society B},
 number = {3},
 pages = {359--369},
 publisher = {[Royal Statistical Society, Wiley]},
 title = {Distance Based Ranking Models},
 volume = {48},
 year = {1986}
}


@article{irurozki2016sampling,
  title={Sampling and Learning the {M}allows and Generalized {M}allows Models Under the {C}ayley Distance},
  author={Irurozki, Ekhine and Calvo, Borja and Lozano, Jose A},
  journal={Methodology and Computing in Applied Probability},
  volume={20},
  number={1},
  pages={1--35},
  year={2018},
  publisher={Springer},
  url={https://doi.org/10.1007/s11009-016-9506-7}
}

@article{irurozki2014Ulam,
  AUTHOR =        {Ekhine Irurozki and Josu Ceberio and Borja Calvo and
               Jose A. Lozano},
  TITLE =         {Sampling and Learning the {M}allows Model Under the Ulam Distance},
  JOURNAL = {Technical Report},
  YEAR = {2014},
  url = {https://addi.ehu.es/handle/10810/11241}
}

@inproceedings{meila2010,
	Author = {M. Meil\v{a} and H. Chen},
	Booktitle = {Proceedings of the Twenty-Sixth Conference Annual Conference on Uncertainty in Artificial Intelligence (UAI-10)},
	Title = {{D}irichlet Process Mixtures of Generalized {M}allows Models},
	Year = {2010},
	publisher = {AUAI Press},
	ADDRESS = {Corvallis, OR, USA},
	PAGES = {358--367}
		}


@article{irurozki2014Ham,
  title={Sampling and Learning the {M}allows and Weighted {M}allows Models Under the {H}amming Distance},
  author={Irurozki, E.  and Calvo, B. and Lozano, A.},
  JOURNAL = {Technical Report},
  url={https://addi.ehu.es/handle/10810/11240},
  year={2014}
}


@article{celeux2000,
author = {G. Celeux and M. Hurn and C. Robert},
title = {Computational and Inferential Difficulties with Mixture Posterior Distribution},
volume = {95},
number = {451},
pages = {957-970},
year = {2000},
journal = {Journal of the American Statistical Association},
url = {https://doi.org/10.2307/2669477}
}

@article{jasra2005,
	Author = {A. Jasra and C.C. Holmes and D.A. Stephens},
	Journal = {Statistical Science},
	Pages = {50-67},
	Title = {Markov Chain {M}onte {C}arlo Methods and the Label Switching Problem in {B}ayesian Mixture Modeling},
	Volume = {20},
	Number = {1},
	Year = {2005}}

@article{crispino2023,
  title = {Efficient and accurate inference for mixtures of Mallows models with Spearman distance},
  volume = {33},
  ISSN = {1573-1375},
  url = {http://dx.doi.org/10.1007/s11222-023-10266-8},
  DOI = {10.1007/s11222-023-10266-8},
  number = {5},
  journal = {Statistics and Computing},
  publisher = {Springer Science and Business Media LLC},
  author = {Crispino,  Marta and Mollica,  Cristina and Astuti,  Valerio and Tardella,  Luca},
  year = {2023},
  month = jul
}

@misc{oeis,
  author={Sloane, Neil J. A. and The OEIS Foundation Inc.},
  title={The on-line encyclopedia of integer sequences},
  year={2020},
  url={https://oeis.org/},
}
