4 papers
Tight differencing in spectral density estimation with centrosymmetric kernels
Yaxuan Wang, Kin Wai Chan
Mean-robust estimation of spectral density and long-run variance is crucial for many statistical inference procedures. However, existing methods often degrade when serially depende…
Zeta-functions of Curves over Finite Fields
Edisy Kin Wai Chan
Curves over finite fields are of great importance in cryptography and coding theory. Through studying their zeta-functions, we would be able to find out vital arithmetic and geomet…
Principles of Statistical Inference in Online Problems
Man Fung Leung, Kin Wai Chan
To investigate a dilemma of statistical and computational efficiency faced by long-run variance estimators, we propose a decomposition of kernel weights in a quadratic form and som…
Multiple Improvements of Multiple Imputation Likelihood Ratio Tests
Kin Wai Chan, Xiao-Li Meng
Multiple imputation (MI) inference handles missing data by imputing the missing values times, and then combining the results from the complete-data analyses. However, the e…