Bus Stop Spacings Statistics: Theory and Evidence

utel-uiuc/gtfs_segments 8 Aug 2022

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

0.04 stars / hour

A large-scale analysis of racial disparities in police stops across the United States

rfordatascience/tidytuesday 18 Jun 2017

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.


0.04 stars / hour

Nested $\hat R$: Assessing Convergence for Markov chain Monte Carlo when using many short chains

google-research/google-research 25 Oct 2021

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.


0.03 stars / hour

Probabilistic Programming in Python using PyMC

pymc-devs/pymc3 29 Jul 2015

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


0.02 stars / hour

Multilevel Delayed Acceptance MCMC

pymc-devs/pymc 8 Feb 2022

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

0.02 stars / hour

Bayesian Time Varying Coefficient Model with Applications to Marketing Mix Modeling

uber/orbit 7 Jun 2021

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

0.02 stars / hour

yaglm: a Python package for fitting and tuning generalized linear models that supports structured, adaptive and non-convex penalties

yaglm/yaglm 11 Oct 2021

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

Computation Methodology 62J12, 62J07

0.02 stars / hour

Fast Bayesian inference in large Gaussian graphical models

donaldRwilliams/BGGM 21 Mar 2018

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


0.02 stars / hour

StateSpaceModels.jl: a Julia Package for Time-Series Analysis in a State-Space Framework

LAMPSPUC/StateSpaceModels.jl 5 Aug 2019

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

Computation Optimization and Control

0.01 stars / hour

A flexible forecasting model for production systems

linkedin/greykite 3 May 2021

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


0.02 stars / hour