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Data Generation and Likelihood Fit.ipynb

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"\n",
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" Returns:\n",
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" * An (Sx2) array of forward-looking costs associated with each\n",
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" sate and each decision.\n",
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" state and each decision.\n",
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" \"\"\"\n",
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" achieved = True\n",
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" # Initialization of the contraction mapping\n",
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" def loglike(self, params):\n",
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" \"\"\"\n",
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" The log-likelihood of the Dynamic model is estimated in several steps.\n",
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" 1°) The currenter parameters are supplied to the contraction mapping \n",
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" 1°) The current parameters are supplied to the contraction mapping \n",
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" function\n",
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" 2°) The function returns a matrix of decision probabilities for each \n",
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" state.\n",

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