Ravin Kumar
Google (United States)(US)
Publications by Year
Research Areas
Computational Physics and Python Applications, Statistical Methods and Bayesian Inference, Gaussian Processes and Bayesian Inference, Data Analysis with R, Formal Methods in Verification
Most-Cited Works
- → PyMC: a modern, and comprehensive probabilistic programming framework in Python(2023)727 cited
- → ArviZ a unified library for exploratory analysis of Bayesian models in Python(2019)628 cited
- → Bambi: A Simple Interface for Fitting Bayesian Linear Models in Python(2022)96 cited
- → Bayesian Modeling and Computation in Python(2021)41 cited
- → Bayesian Additive Regression Trees(2021)16 cited
- → pymc-devs/pymc3: PyMC3 3.11.2 (14 March 2021)(2021)6 cited
- → Probabilistic Programming Languages(2021)4 cited
- → Bayesian Inference(2021)2 cited
- → Exploratory Analysis of Bayesian Models(2021)1 cited
- → Approximate Bayesian Computation(2021)1 cited