biasBound_condExpectation |
Bias bound approach for conditional expectation estimation |
biasBound_density |
Bias bound approach for density estimation |
DATA_PATH |
The Path to the Data Folder |
epanechnikov_kernel |
Epanechnikov Kernel |
epanechnikov_kernel_ft |
Fourier Transform Epanechnikov Kernel |
EXT_DATA_PATH |
The Path to the External Data Folder for Non-R Data Files |
fun_approx |
Approximation Function for Intensive Calculations |
gen_sample_data |
Generate Sample Data |
get_avg_f1x |
Kernel point estimation |
get_avg_fyx |
Kernel point estimation |
get_avg_phi |
Compute Sample Average of Fourier Transform Magnitude |
get_avg_phi_log |
Compute log sample average of fourier transform and get mod |
get_conditional_var |
get the conditional variance of Y on X for given x |
get_est_Ar |
get the estimation of A and r |
get_est_B |
get the estimation of B |
get_est_b1x |
Estimation of bias b1x |
get_est_byx |
Estimation of bias byx |
get_est_vy |
get the estimation of Vy |
get_sigma |
Estimation of sigma |
get_sigma_yx |
Estimation of sigma_yx |
get_xi_interval |
get xi interval |
kernel_reg |
Kernel Regression function |
normal_kernel |
Normal Kernel Function |
normal_kernel_ft |
Fourier Transform of Normal Kernel |
plot_ft |
Plot the Fourier Transform |
rpoly01 |
Generate n samples from the distribution |
sample_data |
Sample Data |
sinc |
Infinite Kernel Function |
sinc_ft |
Define the closed form FT of the infinite order kernel sin(x)/(pi*x) |
true_density_2fold |
True density of 2-fold uniform distribution |
W_kernel |
Define the inverse Fourier transform function of W |
W_kernel_ft |
Define the Fourier transform of a infinite kernel proposed in Schennach 2004 |