five

Data for: Fixed support positive-definite modification of covariance matrix estimators via linear shrinkage

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Fixed support positive definite modification of covariance matrix estimators via linear shrinkage by Young-Geun Choi, Junyong Park, Anindya Roy, and Johan Lim Chapter 4. Simulations run the followings consequtively (1 -> 2 -> 3 and 4): 1. (repeatedly generate data and calculate estimators and store results) /simulation/simul_cov/covsim.R 2. (aggregate results over replications) /simulation/simul_cov/replication_aggregate.R 3. (2.1 empirical spectrum) /simulation/simul_cov/result_empiricalspectrum.R 4. (2.2 error comparison) /simulation/simul_cov/result_empiricalerrors.R Chapter 5. Data examples 5.1. Speech recognition (coded in MATLAB): run /data_examples/1_speech/DA_main.m 5.2. Portfolio (coded in MATLAB): run /data_examples/2_portfolio/positiveMVR_exec_daily.m and simpleMVR_exec_daily.m

基于线性收缩的协方差矩阵估计量固定支撑正定修正 作者:Young-Geun Choi、Junyong Park、Anindya Roy、Johan Lim 第4章 仿真实验 按以下顺序依次执行(1→2→3及4): 1. (重复生成数据、计算估计量并存储结果):/simulation/simul_cov/covsim.R 2. (对重复实验的结果进行聚合):/simulation/simul_cov/replication_aggregate.R 3. (2.1 经验谱分析):/simulation/simul_cov/result_empiricalspectrum.R 4. (2.2 误差对比):/simulation/simul_cov/result_empiricalerrors.R 第5章 实例数据 5.1 语音识别(基于MATLAB编写):执行 /data_examples/1_speech/DA_main.m 5.2 投资组合(基于MATLAB编写):执行 /data_examples/2_portfolio/positiveMVR_exec_daily.m 与 /data_examples/2_portfolio/simpleMVR_exec_daily.m
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2018-12-24
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