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  "Title": "Level-Dependent Cross-Validation Thresholding",
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  "Author": "Donghoh Kim <donghoh.kim@gmail.com>, Hee-Seok Oh\n<heeseok@stats.snu.ac.kr>",
  "Maintainer": "Donghoh Kim <donghoh.kim@gmail.com>",
  "Description": "The level-dependent cross-validation method is implemented\nfor the selection of thresholding value in wavelet shrinkage.\nThis procedure is implemented by coupling a conventional cross\nvalidation with an imputation method due to a limitation of\ndata length, a power of 2. It can be easily applied to\nclassical leave-one-out and k-fold cross validation. Since the\nprocedure is computationally fast, a level-dependent cross\nvalidation can be performed for wavelet shrinkage of various\ndata such as a data with correlated errors.",
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      ],
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      "tojson": false
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      "topics": [
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      ]
    },
    {
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      "title": "Imputation for two-dimensional data by wavelet",
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      ]
    },
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      "title": "Level-Dependent Cross-Validation Approach for Wavelet Thresholding",
      "topics": [
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        "CVThresh"
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    {
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      "title": "Generating test dataset index for cross-validation",
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      ]
    },
    {
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      "title": "Generating test dataset index of two-dimensional data for cross-validation",
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      ]
    },
    {
      "page": "cvwavelet",
      "title": "Wavelet reconstruction by level-dependent Cross-Validation",
      "topics": [
        "cvwavelet"
      ]
    },
    {
      "page": "cvwavelet.after.impute",
      "title": "Cross-Validation Wavelet Shrinkage after imputation",
      "topics": [
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    },
    {
      "page": "cvwavelet.image",
      "title": "Wavelet reconstruction of image by level-dependent Cross-Validation",
      "topics": [
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      ]
    },
    {
      "page": "cvwavelet.image.after.impute",
      "title": "Cross-Validation Wavelet Shrinkage for two-dimensional data after imputation",
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      "page": "dopp",
      "title": "Doppler function",
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      "title": "fg1 function",
      "topics": [
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      "title": "Heavisine function",
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