96 citations · 101 across the 6 of their papers we have counts for
6 papers
Statistics for Spatially Stratified Heterogeneous Data
Jinfeng Wang, Robert Haining, Tonglin Zhang +2
Spatial statistics is dominated by spatial autocorrelation (SAC) based Kriging and BHM, and spatial local heterogeneity based hotspots and geographical regression methods, appraise…
Asymptotics for The -means
Tonglin Zhang
The -means is one of the most important unsupervised learning techniques in statistics and computer science. The goal is to partition a data set into many clusters, such that ob…
Flexible Principal Component Analysis for Exponential Family Distributions
Tonglin Zhang, Baijian Yang, Qianqian Song +1
Traditional principal component analysis (PCA) is well known in high-dimensional data analysis, but it requires to express data by a matrix with observations to be continuous. To o…
Multiple Learning for Regression in big data
Xiang Liu, Ziyang Tang, Huyunting Huang +2
Regression problems that have closed-form solutions are well understood and can be easily implemented when the dataset is small enough to be all loaded into the RAM. Challenges ari…
Existence of the signal in the signal plus background model
Tonglin Zhang
Searching for evidence of neutrino oscillations is an important problem in particle physics. Suppose that evidence for neutrino oscillations from an LSND experiment reports a signi…
On the false discovery rates of a frequentist: Asymptotic expansions
Anirban DasGupta, Tonglin Zhang
Consider a testing problem for the null hypothesis . The standard frequentist practice is to reject the null hypothesis when the p-value is smaller than a threshold va…