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A Markov Chain Procedure

In: Learning Spaces

Author

Listed:
  • Jean-Claude Falmagne

    (University of California, Irvine, Department of Cognitive Sciences, Institute of Mathematical Behavioral Sciences)

  • Jean-Paul Doignon

    (Université Libre de Bruxelles, Département de Mathématique)

Abstract

This chapter discusses an assessment procedure that is similar in spirit to those described in Chapter 13, but different in a key aspect: it is based on a finite Markov chain rather than on a Markov process with an uncountable set of Markov states. As a consequence, the procedure requires less storage and computation. It can thus be implemented on a small machine. A multi-step application of the procedure described in this chapter can be set up exactly as we did for the procedure of the previous chapter.

Suggested Citation

  • Jean-Claude Falmagne & Jean-Paul Doignon, 2011. "A Markov Chain Procedure," Springer Books, in: Learning Spaces, chapter 14, pages 273-296, Springer.
    • Handle: RePEc:spr:sprchp:978-3-642-01039-2_14
    DOI: 10.1007/978-3-642-01039-2_14
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