1.1k citations · 1.1k across the 9 of their papers we have counts for
9 papers
When Rooks Miss: Probability through Chess
Steven J. Miller, Haoyu Sheng, Daniel Turek
A famous (and hard) chess problem asks what is the maximum number of safe squares possible in placing queens on an board. We examine related problems from placing $…
Bayesian Non-Parametric Detection Heterogeneity in Ecological Models
Daniel Turek, Claudia Wehrhahn, Olivier Gimenez
Detection heterogeneity is inherent to ecological data, arising from factors such as varied terrain or weather conditions, inconsistent sampling effort, or heterogeneity of individ…
Bayesian inference for high-dimensional nonstationary Gaussian processes
Mark D. Risser, Daniel Turek
In spite of the diverse literature on nonstationary spatial modeling and approximate Gaussian process (GP) methods, there are no general approaches for conducting fully Bayesian in…
Diversity of Artists in Major U.S. Museums
Chad M. Topaz, Bernhard Klingenberg, Daniel Turek +6
The U.S. art museum sector is grappling with diversity. While previous work has investigated the demographic diversity of museum staffs and visitors, the diversity of artists in th…
Automatic adaptation of MCMC algorithms
Dao Nguyen, Perry de Valpine, Yves Atchade +3
Markov chain Monte Carlo (MCMC) methods are ubiquitous tools for simulation-based inference in many fields but designing and identifying good MCMC samplers is still an open questio…
Sequential Monte Carlo Methods in the nimble R Package
Nicholas Michaud, Perry de Valpine, Daniel Turek +2
nimble is an R package for constructing algorithms and conducting inference on hierarchical models. The nimble package provides a unique combination of flexible model specification…