Data for: Fixed support positive-definite modification of covariance matrix estimators via linear shrinkage
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资源简介:
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
创建时间:
2018-12-24



