3 citations · 3 across the 9 of their papers we have counts for
9 papers
KOO approach for scalable variable selection problem in large-dimensional regression
Zhidong Bai, Kwok Pui Choi, Yasunori Fujikoshi +1
An important issue in many multivariate regression problems is to eliminate candidate predictors with null predictor vectors. In large-dimensional (LD) setting where the numbers of…
Distributions of cherries and pitchforks for the Ford model
Gursharn Kaur, Kwok Pui Choi, Taoyang Wu
We study two fringe subtree counting statistics, the number of cherries and that of pitchforks for Ford's model, a one-parameter family of random phylogenetic tree models that…
Exploration Enhancement of Nature-Inspired Swarm-based Optimization Algorithms
Kwok Pui Choi, Enzio Hai Hong Kam, Tze Leung Lai +2
Nature-inspired swarm-based algorithms have been widely applied to tackle high-dimensional and complex optimization problems across many disciplines. They are general purpose optim…
On asymptotic joint distributions of cherries and pitchforks for random phylogenetic trees
Kwok Pui Choi, Gursharn Kaur, Taoyang Wu
Tree shape statistics provide valuable quantitative insights into evolutionary mechanisms underpinning phylogenetic trees, a commonly used graph representation of evolution systems…
On cherry and pitchfork distributions of random rooted and unrooted phylogenetic trees
Kwok Pui Choi, Ariadne Thompson, Taoyang Wu
Tree shape statistics are important for investigating evolutionary mechanisms mediating phylogenetic trees. As a step towards bridging shape statistics between rooted and unrooted…
On joint subtree distributions under two evolutionary models
Taoyang Wu, Kwok Pui Choi
In population and evolutionary biology, hypotheses about micro-evolutionary and macro-evolutionary processes are commonly tested by comparing the shape indices of empirical evoluti…