J
Jake Vanderplas
Researcher at University of Washington
Publications - 56
Citations - 103645
Jake Vanderplas is an academic researcher from University of Washington. The author has contributed to research in topics: Python (programming language) & Weak gravitational lensing. The author has an hindex of 30, co-authored 56 publications receiving 77174 citations.
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mwaskom/seaborn: v0.11.0 (Sepetmber 2020)
Michael Waskom,Olga Botvinnik,Maoz Gelbart,Joel Ostblom,Paul Hobson,Saulius Lukauskas,David C Gemperline,Tom Augspurger,Yaroslav O. Halchenko,Jordi Warmenhoven,John B. Cole,Julian de Ruiter,Jake Vanderplas,Stephan Hoyer,Cameron Pye,Alistair Miles,Corban Swain,Kyle Meyer,Marcel Martin,Pete Bachant,Eric Quintero,Gero Kunter,Santi Villalba,Brian,Clark Fitzgerald,Constantine Evans,Mike Lee Williams,Drew O'Kane,Tal Yarkoni,Thomas Brunner +29 more
Journal ArticleDOI
Interpolating masked weak-lensing signal with karhunen-loève analysis
TL;DR: In this paper, the authors explore the utility of Karhunen-lo?ve (KL) analysis in solving practical problems in the analysis of gravitational shear surveys and develop a method to use two-dimensional KL eigenmodes of shear to interpolate noisy shear measurements across masked regions.
seaborn: v0.6.0 (June 2015)
Michael Waskom,Constantine Evans,Jordi Warmenhoven,Tal Yarkoni,kjemmett,Kyle Meyer,Luc Rocher,Paul Hobson,Yaroslav O. Halchenko,Miikka Koskinen,Alistair Miles,Dmitrijs Milajevs,Daniel Wehner,Olga Botvinnik,Erik Ziegler,Tobias Megies,Luis Pedro Coelho,John B. Cole,Tom Augspurger,Jake Vanderplas,Travis Hoppe,Skipper Seabold,Chris Hausler,Phillip Cloud,Santi Villalba,Sergio Pascual,Stephan Hoyer,Eric Quintero,Adel Qalieh,Dan Allan +29 more
Proceedings ArticleDOI
Frequentism and Bayesianism: A Python-driven Primer
TL;DR: This paper presents a brief, semi-technical comparison of the essential features of the frequentist and Bayesian approaches to statistical inference, with several illustrative examples implemented in Python.