Transit agencies have been removing a large number of bus stops, but discussions around the bus stop spacings exhibit a lack of clarity and data for comparison.

Methodology Physics and Society

We find that black drivers are stopped more often than white drivers relative to their share of the driving-age population, but that Hispanic drivers are stopped less often than whites.

Applications

Furthermore we use $\mathfrak n \hat R$ to construct a warmup scheme with an adaptive length, allowing users to avoid running their MCMC algorithms longer than necessary.

Methodology

Probabilistic programming (PP) allows flexible specification of Bayesian statistical models in code.

Computation

We develop a novel Markov chain Monte Carlo (MCMC) method that exploits a hierarchy of models of increasing complexity to efficiently generate samples from an unnormalized target distribution.

Methodology Computation 62F15, 62M05, 65C05, 65C40

Both Bayesian and varying coefficient models are very useful tools in practice as they can be used to model parameter heterogeneity in a generalizable way.

Applications Methodology

The yaglm package aims to make the broader ecosystem of modern generalized linear models accessible to data analysts and researchers.

Computation Methodology 62J12, 62J07

Specifically, we introduce closed-form Bayes factors under the Gaussian conjugate model to evaluate the null hypotheses of marginal and conditional independence between variables.

Methodology

StateSpaceModels. jl is an open-source Julia package for modeling, forecasting and simulating time series in a state-space framework.

Computation Optimization and Control

This paper discusses desirable properties of forecasting models in production systems.

Methodology