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  "Title": "Black-Litterman Posterior Distribution",
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  "Description": "Posterior distribution in the Black-Litterman model is\ncomputed from a prior distribution given in the form of a time\nseries of asset returns and a continuous distribution of views\nprovided by the user as an external function.",
  "License": "GNU General Public License version 3",
  "Encoding": "UTF-8",
  "Author": "Andrzej Palczewski [aut, cre], Jan Palczewski [aut], Alicja\nGosiewska [ctb]",
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  "Date/Publication": "2017-03-29 05:38:36 UTC",
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      "page": "BL_post_distr",
      "title": "Computes the Black-Litterman posterior distribution.",
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        "BL_post_distr"
      ]
    },
    {
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      "title": "Solves the inverse optimization to mean-risk standard optimization problem to find equilibrium returns. The function is invoked by BL_post_distr and arguments are supplemented by BL_post_distr.",
      "topics": [
        "equilibrium_mean"
      ]
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      "title": "Example of distribution of views - normal distribution",
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        "observ_normal"
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      "title": "Example of distribution of views - power exponential distribution",
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    {
      "page": "observ_ts",
      "title": "Example of distribution of views - Student t-distribution",
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