R语言预测实战(高清扫描版本)

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</span>","children":null,"spread":false}],"spread":true},{"title":"Chapter 9","children":[{"title":"9.3 支持向量机回归.r <span style='color:#111;'> 1020B </span>","children":null,"spread":false},{"title":"9.2 神经网络.r <span style='color:#111;'> 8.82KB </span>","children":null,"spread":false},{"title":"9.1 梯度提升回归树（GBRT）.r <span style='color:#111;'> 3.34KB </span>","children":null,"spread":false},{"title":"9.4 高斯过程回归.r <span style='color:#111;'> 4.17KB </span>","children":null,"spread":false}],"spread":true},{"title":"Chapter 2","children":[{"title":"ReadMe.txt <span style='color:#111;'> 1B </span>","children":null,"spread":false}],"spread":true},{"title":"Chapter 12","children":[{"title":"code.r <span style='color:#111;'> 3.73KB </span>","children":null,"spread":false},{"title":"example.r <span style='color:#111;'> 16.86KB </span>","children":null,"spread":false}],"spread":true},{"title":"Chapter 8","children":[{"title":"8.3 Lasso回归.r <span style='color:#111;'> 2.22KB </span>","children":null,"spread":false},{"title":"8.1 多元线性回归.r <span style='color:#111;'> 169B </span>","children":null,"spread":false},{"title":"8.2 Ridge回归.r <span style='color:#111;'> 3.04KB </span>","children":null,"spread":false},{"title":"mm.csv <span style='color:#111;'> 138B </span>","children":null,"spread":false},{"title":"8.4 分位数回归.r <span style='color:#111;'> 1.50KB </span>","children":null,"spread":false},{"title":"8.5 稳健回归.r <span style='color:#111;'> 2.87KB </span>","children":null,"spread":false}],"spread":true},{"title":"Chapter 6","children":[{"title":"6.5模拟退火.r <span style='color:#111;'> 2.26KB </span>","children":null,"spread":false},{"title":"6.1交叉验证.r <span style='color:#111;'> 1.54KB </span>","children":null,"spread":false},{"title":"6.3遗传算法.r <span style='color:#111;'> 7.29KB </span>","children":null,"spread":false},{"title":"6.2网格搜索.r <span style='color:#111;'> 879B </span>","children":null,"spread":false},{"title":"6.4粒子群优化.r <span style='color:#111;'> 3.19KB </span>","children":null,"spread":false}],"spread":true},{"title":"Chapter 1","children":[{"title":"example.r <span style='color:#111;'> 2.29KB </span>","children":null,"spread":false}],"spread":true},{"title":"Chapter 10","children":[{"title":"10.4 向量自回归模型.r <span style='color:#111;'> 5.09KB </span>","children":null,"spread":false},{"title":"10.5 卡尔曼滤波器算法.r <span style='color:#111;'> 1.85KB </span>","children":null,"spread":false},{"title":"basex1.csv <span style='color:#111;'> 445B </span>","children":null,"spread":false},{"title":"10.3 GARCH模型族.r <span style='color:#111;'> 7.58KB </span>","children":null,"spread":false},{"title":"10.1 Box-Jenkins方法.r <span style='color:#111;'> 4.21KB </span>","children":null,"spread":false},{"title":"10.2 门限自回归模型.r <span style='color:#111;'> 2.79KB </span>","children":null,"spread":false}],"spread":true},{"title":"Chapter 11","children":[{"title":"example.r <span style='color:#111;'> 16.86KB 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