2 citations · 3 across the 6 of their papers we have counts for
6 papers
Adaptive Kernel Regression for Constrained Route Alignment: Theory and Iterative Data Sharpening
Shiyin Du, Yiting Chen, Wenzhi Yang +2
Route alignment design in surveying and transportation engineering frequently involves fixed waypoint constraints, where a path must precisely traverse specific coordinates. While…
DEEPEAST technique to enhance power in two-sample tests via the same-attraction function
Yiting Chen, Min Gao, Wei Lin +3
Data depth has emerged as an invaluable nonparametric measure for the ranking of multivariate samples. The main contribution of depth-based two-sample comparisons is the introducti…
Q statistics in data depth: fundamental theory revisited and variants
Min Gao, Yiting Chen, Xiaoping Shi +1
Recently, data depth has been widely used to rank multivariate data. The study of the depth-based statistic, originally proposed by Liu and Singh (1993), has become increasingl…
Adaptive Penalized Likelihood method for Markov Chains
Yining Zhou, Ming Gao, Yiting Chen +1
Maximum Likelihood Estimation (MLE) and Likelihood Ratio Test (LRT) are widely used methods for estimating the transition probability matrix in Markov chains and identifying signif…
Classifying deviation from standard quantum behavior using Kullback Leibler divergence
Salman Sajad Wani, Saif Al-Kuwari, Xiaoping Shi +5
In this letter, we propose a novel statistical method to measure which system is better suited to probe small deviations from the usual quantum behavior. Such deviations are motiva…
Multivariate two-sample test statistics based on data depth
Yiting Chen, Wei Lin, Xiaoping Shi
Data depth has been applied as a nonparametric measurement for ranking multivariate samples. In this paper, we focus on homogeneity tests to assess whether two multivariate samples…