Top Papers
nflWAR: A Reproducible Method for Offensive Player Evaluation in Football
We discuss how our reproducible WAR framework, built entirely on publicly available data, can be easily extended to estimate WAR for players at any position, provided that researchers have access to data specifying which players are on the field during each play.
Applications 62P99
The OpenCPU System: Towards a Universal Interface for Scientific Computing through Separation of Concerns
By separating concerns of scientific computing from application and implementation details we can derive an interoperable API for data analysis.
Computation Mathematical Software Software Engineering
The jsonlite Package: A Practical and Consistent Mapping Between JSON Data and R Objects
A naive realization of JSON data in R maps JSON arrays to an unnamed list, and JSON objects to a named list.
Computation Mathematical Software Software Engineering
Optimal detection of changepoints with a linear computational cost
We consider the common approach of detecting changepoints through minimising a cost function over possible numbers and locations of changepoints.
Methodology Genomics Quantitative Methods
Visualization in Bayesian workflow
Bayesian data analysis is about more than just computing a posterior distribution, and Bayesian visualization is about more than trace plots of Markov chains.
Methodology Applications
vtreat: a data.frame Processor for Predictive Modeling
We look at common problems found in data that is used for predictive modeling tasks, and describe how to address them with the vtreat R package.
Applications
Applied Measure Theory for Probabilistic Modeling
Probabilistic programming and statistical computing are vibrant areas in the development of the Julia programming language, but the underlying infrastructure dramatically predates recent developments.
Computation Programming Languages
Data-driven discovery of coordinates and governing equations
The discovery of governing equations from scientific data has the potential to transform data-rich fields that lack well-characterized quantitative descriptions.
Other Statistics
A Deep Probabilistic Model for Customer Lifetime Value Prediction
In this article, we model the distribution of LTV given associated features as a mixture of zero point mass and lognormal distribution, which we refer to as the zero-inflated lognormal (ZILN) distribution.
Applications
StateSpaceModels.jl: a Julia Package for Time-Series Analysis in a State-Space Framework
StateSpaceModels. jl is an open-source Julia package for modeling, forecasting and simulating time series in a state-space framework.
Computation Optimization and Control
