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

5
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.

Applications

4,880
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.

Methodology

24,557
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.

Computation

6,899
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

6,899
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

1,452
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

23
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.

Methodology

48
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

199
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.

Methodology

1,571
0.02 stars / hour