
	@article{BaBeCeSaVe,
  author =       { Barbu, Vlad Stefan and  B\'erard, Caroline and  Cellier, Dominique and  Sautreuil, Mathilde and Vergne, Nicolas},
  title =        { SMM: An R package for estimation and simulation of discrete-time semi-Markov models},
  journal =         { submitted },
   year =         { 2017},
   pages =        {1--28},
  doi = {10.32614/RJ-2018-050}
  }

@INPROCEEDINGS{Bar2004b,
  author  =      { Barbu, Vlad Stefan and Limnios, Nikolaos },
  title =        { Discrete Time Semi-{M}arkov Processes for Reliability and Survival Analysis - A Nonparametric Estimation Approach },
  booktitle =    { Parametric and Semiparametric Models with Applications to Reliability, Survival Analysis and Quality of Life },
  pages =        { 487--502 },
  publisher =    { Birkh\"auser, Boston },
  series =       { Statistics for Industry and Technology  },
  year =         { 2004 },
  editor =       {Nikulin, M. and Balakrishnan, N. and Mesbah, M. and Limnios, N. },
  doi = {10.1007/978-0-8176-8206-4_30}
  }

@INPROCEEDINGS{Bar2008b,
  author  =      { Barbu, Vlad Stefan and Limnios, Nikolaos },
  title =        { Reliability of semi-Markov systems in discrete time:  modeling and estimation},
  booktitle =    { Handbook on performability engineering },
  pages =        { 369--380},
  publisher =    { Springer },
  year =         { 2008 },
  editor =       {Misra, K. B. },
  doi = {10.1007/978-1-84800-131-2_24}
  }


	@article{BaVe2018,
  author =       { Barbu, Vlad Stefan and Vergne, Nicolas},
  title =        {Reliability and survival analysis for drifting Markov models: modelling and estimation},
  journal =         {Methodology and Computing in Applied Probability},
   year =         {2018},
  pages =        {1--33},
  doi = {10.1007/s11009-018-9682-8}
  }

@article{bulla_hsmm_2010,
	series = {Second {Special} {Issue} on {Statistical} {Algorithms} and {Software}},
	title = {hsmm — {An} {R} package for analyzing hidden semi-{Markov} models},
	volume = {54},
	issn = {0167-9473},
	url = {http://www.sciencedirect.com/science/article/pii/S016794730800426X},
	doi = {10.1016/j.csda.2008.08.025},
	abstract = {Hidden semi-Markov models are a generalization of the well-known hidden Markov model. They allow for a greater flexibility of sojourn time distributions, which implicitly follow a geometric distribution in the case of a hidden Markov chain. The aim of this paper is to describe hsmm, a new software package for the statistical computing environment R. This package allows for the simulation and maximum likelihood estimation of hidden semi-Markov models. The implemented Expectation Maximization algorithm assumes that the time spent in the last visited state is subject to right-censoring. It is therefore not subject to the common limitation that the last visited state terminates at the last observation. Additionally, hsmm permits the user to make inferences about the underlying state sequence via the Viterbi algorithm and smoothing probabilities.},
	number = {3},
	urldate = {2017-05-09},
	journal = {Computational Statistics \& Data Analysis},
	author = {Bulla, Jan and Bulla, Ingo and Nenadić, Oleg},
	month = mar,
	year = {2010},
	pages = {611--619},
	file = {ScienceDirect Full Text PDF:/home/msautreuil/.mozilla/firefox/hi0msvu5.default/zotero/storage/4TFTXPGM/Bulla et al. - 2010 - hsmm — An R package for analyzing hidden semi-Mark.pdf:application/pdf;ScienceDirect Snapshot:/home/msautreuil/.mozilla/firefox/hi0msvu5.default/zotero/storage/GIX9FVEM/S016794730800426X.html:text/html}
}


@article{krol_semimarkov_2015,
	title = {\textbf{{SemiMarkov}} : {An} \textit{{R}} {Package} for {Parametric} {Estimation} in {Multi}-{State} {Semi}-{Markov} {Models}},
	volume = {66},
	issn = {1548-7660},
	shorttitle = {\textbf{{SemiMarkov}}},
	url = {http://www.jstatsoft.org/v66/i06/},
	doi = {10.18637/jss.v066.i06},
	language = {en},
	number = {6},
	urldate = {2017-05-09},
	journal = {Journal of Statistical Software},
	author = {Król, Agnieszka and Saint-Pierre, Philippe},
	year = {2015}
}

@article{oconnell_hidden_2011,
	title = {Hidden {Semi} {Markov} {Models} for {Multiple} {Observation} {Sequences}: {The} \textbf{mhsmm} {Package} for \textit{{R}}},
	volume = {39},
	issn = {1548-7660},
	shorttitle = {Hidden {Semi} {Markov} {Models} for {Multiple} {Observation} {Sequences}},
	url = {http://www.jstatsoft.org/v39/i04/},
	doi = {10.18637/jss.v039.i04},
	language = {en},
	number = {4},
	urldate = {2017-05-09},
	journal = {Journal of Statistical Software},
	author = {O'Connell, Jared and Højsgaard, Søren},
	year = {2011}
}

	@article{roygup1992,
  author =       { Roy, D. and Gupta, R.},
  title =        {Classification of discrete
lives. Microelectronics Reliability},
  journal =         {Microelectronics Reliability},
   year =         {1992},
   pages =        {1459–1473},
  doi = {10.1016/0026-2714(92)90015-D}
  }



	@article{Ver08,
  author =       {Vergne, Nicolas},
  title =        {Drifting Markov models with polynomial drift and applications to DNA sequences},
  journal =         { Statistical Applications in Genetics Molecular Biology },
   year =         {2008},
  volume =       { 7(1) },
  doi = {10.2202/1544-6115.1326}
  }

