Trending Research

Autoplotly - Automatic Generation of Interactive Visualizations for Popular Statistical Results

8 Mar 2018terrytangyuan/autoplotly

The autoplotly package provides functionalities to automatically generate interactive visualizations for many popular statistical results supported by ggfortify package with plotly and ggplot2 style.

COMPUTATION APPLICATIONS

74
0.09 stars / hour

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

18 Jun 2017rfordatascience/tidytuesday

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

3,342
0.04 stars / hour

Differentiation of the Cholesky decomposition

24 Feb 2016imurray/redirectify

We review strategies for differentiating matrix-based computations, and derive symbolic and algorithmic update rules for differentiating expressions containing the Cholesky decomposition.

COMPUTATION MATHEMATICAL SOFTWARE

119
0.03 stars / hour

Estimating Treatment Effects with Causal Forests: An Application

20 Feb 2019grf-labs/grf

We apply causal forests to a dataset derived from the National Study of Learning Mindsets, and consider resulting practical and conceptual challenges.

METHODOLOGY

525
0.03 stars / hour

Computing Extremely Accurate Quantiles Using t-Digests

11 Feb 2019tdunning/t-digest

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

1,324
0.03 stars / hour

$R^*$: A robust MCMC convergence diagnostic with uncertainty using gradient-boosted machines

17 Mar 2020TuringLang/MCMCChains.jl

Markov chain Monte Carlo (MCMC) has transformed Bayesian model inference over the past three decades and is now a workhorse of applied scientists.

METHODOLOGY APPLICATIONS

111
0.03 stars / hour

Beyond Random Walk and Metropolis-Hastings Samplers: Why You Should Not Backtrack for Unbiased Graph Sampling

18 Apr 2012benedekrozemberczki/littleballoffur

In this paper, we propose non-backtracking random walk with re-weighting (NBRW-rw) and MH algorithm with delayed acceptance (MHDA) which are theoretically guaranteed to achieve, at almost no additional cost, not only unbiased graph sampling but also higher efficiency (smaller asymptotic variance of the resulting unbiased estimators) than the SRW-rw and the MH algorithm, respectively.

METHODOLOGY DATA STRUCTURES AND ALGORITHMS NETWORKING AND INTERNET ARCHITECTURE SOCIAL AND INFORMATION NETWORKS DATA ANALYSIS, STATISTICS AND PROBABILITY PHYSICS AND SOCIETY

503
0.02 stars / hour

Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC

16 Jul 2015StatisticalRethinkingJulia/ModelComparisons.jl

Leave-one-out cross-validation (LOO) and the widely applicable information criterion (WAIC) are methods for estimating pointwise out-of-sample prediction accuracy from a fitted Bayesian model using the log-likelihood evaluated at the posterior simulations of the parameter values.

COMPUTATION METHODOLOGY

3
0.02 stars / hour

ruptures: change point detection in Python

2 Jan 2018deepcharles/ruptures

ruptures is a Python library for offline change point detection.

COMPUTATION MATHEMATICAL SOFTWARE

639
0.02 stars / hour

Orbit: Probabilistic Forecast with Exponential Smoothing

18 Apr 2020uber/orbit

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

COMPUTATION METHODOLOGY

337
0.02 stars / hour