{
  "id": "0708.1051",
  "version": "v1",
  "published": "2007-08-08T07:15:05.000Z",
  "updated": "2007-08-08T07:15:05.000Z",
  "title": "Deconvolution by simulation",
  "authors": [
    "Colin Mallows"
  ],
  "comment": "Published at http://dx.doi.org/10.1214/074921707000000021 in the IMS Lecture Notes Monograph Series (http://www.imstat.org/publications/lecnotes.htm) by the Institute of Mathematical Statistics (http://www.imstat.org)",
  "journal": "IMS Lecture Notes Monograph Series 2007, Vol. 54, 1-11",
  "doi": "10.1214/074921707000000021",
  "categories": [
    "stat.CO"
  ],
  "abstract": "Given samples (x_1,...,x_m) and (z_1,...,z_n) which we believe are independent realizations of random variables X and Z respectively, where we further believe that Z=X+Y with Y independent of X, the problem is to estimate the distribution of Y. We present a new method for doing this, involving simulation. Experiments suggest that the method provides useful estimates.",
  "revisions": [
    {
      "version": "v1",
      "updated": "2007-08-08T07:15:05.000Z"
    }
  ],
  "analyses": {
    "subjects": [
      "60J10",
      "62G05",
      "94C99"
    ],
    "keywords": [
      "simulation",
      "deconvolution",
      "independent realizations",
      "random variables"
    ],
    "tags": [
      "monograph",
      "journal article",
      "lecture notes"
    ],
    "note": {
      "typesetting": "TeX",
      "pages": 0,
      "language": "en",
      "license": "arXiv",
      "status": "editable",
      "adsabs": "2007arXiv0708.1051M"
    }
  }
}