35 citations · 59 across the 5 of their papers we have counts for
5 papers
Bootstrapping multiple systems estimates to account for model selection
Bernard W. Silverman, Lax Chan, Kyle Vincent
Multiple systems estimation using a Poisson loglinear model is a standard approach to quantifying hidden populations where data sources are based on lists of known cases. Informati…
Multiple Systems Estimation for Sparse Capture Data: Inferential Challenges when there are Non-Overlapping Lists
Lax Chan, Bernard W. Silverman, Kyle Vincent
Multiple systems estimation strategies have recently been applied to quantify hard-to-reach populations, particularly when estimating the number of victims of human trafficking and…
On Bayesian inferential tasks with infinite-state jump processes: efficient data augmentation
Iker Perez, Lax Chan, Mercedes Torres Torres +2
Advances in sampling schemes for Markov jump processes have recently enabled multiple inferential tasks. However, in statistical and machine learning applications, we often require…
Substitution-based sequences with absolutely continuous diffraction
Lax Chan, Uwe Grimm
Modifying Rudin's original construction of the Rudin-Shapiro sequence, we derive a new substitution-based sequence with purely absolutely continuous diffraction spectrum.
Spectrum of a Rudin-Shapiro-like sequence
Lax Chan, Uwe Grimm
We show that a recently proposed Rudin-Shapiro-like sequence, with balanced weights, has purely singular continuous diffraction spectrum, in contrast to the well-known Rudin-Shapir…