49 citations · 120 across the 6 of their papers we have counts for
6 papers
Estimating the smoothness of a Gaussian random field from irregularly spaced data via higher-order quadratic variations
Wei-Liem Loh
This article introduces a method for estimating the smoothness of a stationary, isotropic Gaussian random field from irregularly spaced data. This involves novel constructions of h…
Assessment of synchrony in multiple neural spike trains using loglinear point process models
Robert E. Kass, Ryan C. Kelly, Wei-Liem Loh
Neural spike trains, which are sequences of very brief jumps in voltage across the cell membrane, were one of the motivating applications for the development of point process metho…
Estimating the number of neurons in multi-neuronal spike trains
Mengxin Li, Wei-Liem Loh
A common way of studying the relationship between neural activity and behavior is through the analysis of neuronal spike trains that are recorded using one or more electrodes impla…
A multivariate central limit theorem for randomized orthogonal array sampling designs in computer experiments
Wei-Liem Loh
Let be an integrable function. An objective of many computer experiments is to estimate by evaluating f at a finite number of p…
Some theoretical results on neural spike train probability models
Hock Peng Chan, Wei-Liem Loh
This article contains two main theoretical results on neural spike train models. The first assumes that the spike train is modeled as a counting or point process on the real line w…
Fixed-domain asymptotics for a subclass of Matérn-type Gaussian random fields
Wei-Liem Loh
Stein [Statist. Sci. 4 (1989) 432--433] proposed the Matérn-type Gaussian random fields as a very flexible class of models for computer experiments. This article considers a subcla…