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

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

23,896

# Probabilistic Programming in Python using PyMC

29 Jul 2015

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

Computation

6,728

# Multilevel Delayed Acceptance MCMC

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

6,730

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

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

4,767

# HyperTools: A Python toolbox for visualizing and manipulating high-dimensional data

28 Jan 2017

Just as the position of an object moving through space can be visualized as a 3D trajectory, HyperTools uses dimensionality reduction algorithms to create similar 2D and 3D trajectories for time series of high-dimensional observations.

Other Statistics

1,729

# Computing Extremely Accurate Quantiles Using t-Digests

11 Feb 2019

We present on-line algorithms for computing approximations of rank-based statistics that give high accuracy, particularly near the tails of a distribution, with very small sketches.

Sequential Quantile Estimation Computation Data Structures and Algorithms

1,652

# A flexible forecasting model for production systems

3 May 2021

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

Methodology

1,535

# Orbit: Probabilistic Forecast with Exponential Smoothing

18 Apr 2020

Time series forecasting is an active research topic in academia as well as industry.

Computation Methodology

1,404

# ruptures: change point detection in Python

2 Jan 2018

ruptures is a Python library for offline change point detection.

Computation Mathematical Software

980

# Estimating the number of infections and the impact of non-pharmaceutical interventions on COVID-19 in European countries: technical description update

23 Apr 2020

Our model estimates these changes by calculating backwards from temporal data on observed to estimate the number of infections and rate of transmission that occurred several weeks prior, allowing for a probabilistic time lag between infection and death.

Applications Methodology

939