20 citations · 26 across the 3 of their papers we have counts for
4 papers · 1 filter
GaussianProcesses.jl: A Nonparametric Bayes package for the Julia Language
Jamie Fairbrother, Christopher Nemeth, Maxime Rischard +2
Gaussian processes are a class of flexible nonparametric Bayesian tools that are widely used across the sciences, and in industry, to model complex data sources. Key to applying Ga…
Unbiased estimation of log normalizing constants with applications to Bayesian cross-validation
Maxime Rischard, Pierre E. Jacob, Natesh Pillai
Posterior distributions often feature intractable normalizing constants, called marginal likelihoods or evidence, that are useful for model comparison via Bayes factors. This has m…
A Bayesian Nonparametric Approach to Geographic Regression Discontinuity Designs: Do School Districts Affect NYC House Prices?
Maxime Rischard, Zach Branson, Luke Miratrix +1
Most research on regression discontinuity designs (RDDs) has focused on univariate cases, where only those units with a "forcing" variable on one side of a threshold value receive…
Bias correction in daily maximum and minimum temperature measurements through Gaussian process modeling
Maxime Rischard, Natesh Pillai, Karen A. McKinnon
The Global Historical Climatology Network-Daily database contains, among other variables, daily maximum and minimum temperatures from weather stations around the globe. It is long…