1 | #Require MMS; |
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2 | Real PutRandomSeed(2143); |
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3 | |
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4 | Date begin0 = y1989m12; |
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5 | Date begin = y2000; |
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6 | Date end = y2012m12; |
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7 | Real phi = 0.5; |
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8 | Serie residuals = SubSer(Gaussian(0, 0.5, Monthly), begin0, end); |
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9 | Serie noise = SubSer(DifEq(1/(1-phi*B), residuals, 0), begin, end); |
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10 | Serie input1_ = SubSer(Rand(-1, 1, Monthly), begin, end); |
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11 | Serie input2_ = SubSer(Floor(Rand(0, 2, Monthly)), begin, end); |
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12 | Real beta1 = 0.4; |
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13 | Real beta2 = -0.2; |
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14 | Serie output_ = noise + beta1*input1_ + beta2*input2_; |
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15 | |
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16 | MMS::@DataSet dataSet = MMS::Container::ReplaceDataSet([[ |
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17 | Text _.name = "DataSet" |
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18 | ]]); |
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19 | Anything dataSet::CreateVariable_Data(Serie { |
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20 | Serie output = Copy(output_) |
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21 | }); |
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22 | Anything dataSet::CreateVariable_Data(Serie { |
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23 | Serie input1 = Copy(input1_) |
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24 | }); |
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25 | Anything dataSet::CreateVariable_Data(Serie { |
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26 | Serie input2 = Copy(input2_) |
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27 | }); |
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28 | |
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29 | ////////////////////////////////////////////////////////////////////////////// |
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30 | |
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31 | MMS::@Model model = MMS::Container::ReplaceModel([[ |
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32 | Text _.name = "Model1"; |
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33 | MMS::@DataSet _.dataSet = dataSet |
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34 | ]]); |
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35 | |
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36 | MMS::@Submodel submodel = model::CreateSubmodel([[ |
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37 | Text _.name = "Submodel"; |
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38 | NameBlock _.output = [[ |
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39 | Text _.name = "output"; |
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40 | Text _.variable = "output" |
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41 | ]]; |
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42 | NameBlock _.noise = [[ |
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43 | Text _.type = "Normal"; |
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44 | Real _.sigma = 0.5; |
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45 | Real _.sigmaFixed = 1 |
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46 | ]] |
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47 | ]]); |
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48 | |
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49 | Anything submodel::CreateExpTerm_Coefficient([[ |
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50 | Text _.name = "ExpTerm1"; |
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51 | NameBlock _.input = [[ |
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52 | Text _.name = "input1"; |
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53 | Text _.variable = "input1" |
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54 | ]]; |
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55 | Real _.coefficient = 0.1 |
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56 | ]]); |
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57 | |
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58 | Anything submodel::CreateExpTerm_Coefficient([[ |
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59 | Text _.name = "ExpTerm2"; |
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60 | NameBlock _.input = [[ |
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61 | Text _.name = "input2"; |
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62 | Text _.variable = "input2" |
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63 | ]]; |
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64 | Real _.coefficient = -0.1 |
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65 | ]]); |
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66 | |
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67 | MMS::@Estimation estimation = MMS::Container::ReplaceEstimation([[ |
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68 | Text _.name = "Estimation1a"; |
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69 | MMS::@Model _.model = model; |
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70 | MMS::@SettingsBSR _.settings = [[ |
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71 | Real _.showTraces = False; |
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72 | Real mcmc.burnin = 100; |
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73 | Real mcmc.sampleLength = 500 |
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74 | ]] |
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75 | ]]); |
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76 | |
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77 | ////////////////////////////////////////////////////////////////////////////// |
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78 | |
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79 | MMS::@Model model2 = model::Duplicate(?); |
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80 | |
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81 | Real model2::GetSubmodel(1)::SetNoise([[ |
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82 | Text _.type = "ARIMA"; |
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83 | Text _.arimaLabel = "P1DIF0AR1MA0"; |
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84 | Real _.sigma = 0.5; |
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85 | Real _.sigmaFixed = 1 |
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86 | ]]); |
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87 | |
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88 | MMS::@Noise noise2 = model2::GetSubmodel(1)::GetNoise(?); |
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89 | |
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90 | MMS::@Parameter ar = noise2::GetARIMABlock(1)::GetParameterARIMA(1); |
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91 | Real ar::SetInitialValue(0.5); |
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92 | Real ar::SetIsFixed(1); |
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93 | |
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94 | MMS::@Estimation estimation2 = MMS::Container::ReplaceEstimation([[ |
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95 | Text _.name = "Estimation1b"; |
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96 | MMS::@Model _.model = model2; |
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97 | MMS::@SettingsBSR _.settings = [[ |
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98 | Real _.showTraces = False; |
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99 | Real mcmc.burnin = 100; |
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100 | Real mcmc.sampleLength = 500 |
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101 | ]] |
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102 | ]]); |
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103 | |
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104 | ////////////////////////////////////////////////////////////////////////////// |
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105 | |
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106 | MMS::@Model model3 = model::Duplicate(?); |
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107 | |
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108 | Real size = CountS(output_); |
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109 | Polyn pAr = Expand(1/(1-phi*B), size+100); |
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110 | Matrix cov1 = Tra(PolMat(pAr,size,size)) * PolMat(pAr,size,size); |
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111 | Matrix cov2 = PolMat(pAr,size,size) * Tra(PolMat(pAr,size,size)); |
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112 | Matrix cov3 = Tra(PolMat(pAr,size+100,size)) * PolMat(pAr,size+100,size); |
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113 | |
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114 | Real model3::GetSubmodel(1)::SetNoise([[ |
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115 | Text _.type = "Normal"; |
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116 | Matrix _.relativeCovariance = cov3; |
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117 | Real _.sigma = 0.5; |
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118 | Real _.sigmaFixed = 1 |
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119 | ]]); |
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120 | |
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121 | MMS::@Estimation estimation3 = MMS::Container::ReplaceEstimation([[ |
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122 | Text _.name = "Estimation1c"; |
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123 | MMS::@Model _.model = model3; |
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124 | MMS::@SettingsBSR _.settings = [[ |
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125 | Real _.showTraces = False; |
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126 | Real mcmc.burnin = 100; |
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127 | Real mcmc.sampleLength = 500 |
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128 | ]] |
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129 | ]]); |
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130 | |
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131 | ////////////////////////////////////////////////////////////////////////////// |
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132 | |
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133 | Real ShowResults(MMS::@Estimation est) { |
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134 | Set EvalSet(est::GetParameters(?), Real (Anything r) { |
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135 | If(Grammar(r)=="Real", |
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136 | WriteLn(Name(r)<<" "<<r), |
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137 | WriteLn(Name(r)<<" "<<r::GetMean(?)) ); |
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138 | 1}); |
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139 | 1}; |
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140 | |
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141 | Real PutRandomSeed(Time); |
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142 | |
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143 | Real PutRandomSeed(2143); |
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144 | Real estimation::Execute(?); |
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145 | Real PutRandomSeed(2143); |
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146 | Real estimation2::Execute(?); |
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147 | Real PutRandomSeed(2143); |
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148 | Real estimation3::Execute(?); |
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149 | |
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150 | Real ShowResults(estimation); |
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151 | Real ShowResults(estimation2); |
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152 | Real ShowResults(estimation3); |
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153 | |
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154 | |
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