7 citations · 8 across the 5 of their papers we have counts for
5 papers
Maximin distance designs for mixed continuous, ordinal, and binary variables
Hui Lan, Xu He
Computer experiments are pivotal for modeling complex real-world systems. Maximizing information extraction and ensuring accurate surrogate modeling necessitates space-filling desi…
Sliced Latin hypercube designs with arbitrary run sizes
Jin Xu, Xu He, Xiaojun Duan +1
Latin hypercube designs achieve optimal univariate stratifications and are useful for computer experiments. Sliced Latin hypercube designs are Latin hypercube designs that can be p…
Interleaved lattice-based maximin distance designs
Xu He
We propose a new method to construct maximin distance designs with arbitrary number of dimensions and points. The proposed designs hold interleaved-layer structures and are by far…
Lattice-based designs possessing quasi-optimal separation distance on all projections
Xu He
Experimental designs that spread out points apart from each other on projections are important for computer experiments when not necessarily all factors have substantial influence…
A central limit theorem for general orthogonal array based space-filling designs
Xu He, Peter Z. G. Qian
Orthogonal array based space-filling designs (Owen [Statist. Sinica 2 (1992a) 439-452]; Tang [J. Amer. Statist. Assoc. 88 (1993) 1392-1397]) have become popular in computer experim…