PyMC: a modern, and comprehensive probabilistic programming framework in Python 论文

2023PeerJ Computer Science引用 756顶会
DOIPDF
Gaussian Processes and Bayesian InferenceTime Series Analysis and ForecastingComputational Physics and Python Applications
Time Series Analysis and ForecastingGaussian Processes and Bayesian InferenceComputational Physics and Python Applications
相关技术:Gaussian Processes and Bayesian Inference
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PyMC: a modern, and comprehensive probabilistic programming framework in Python · 作者

R

Robert Zinkov

T

Thomas V. Wiecki

R

Ricardo Vieira

M

Michael Osthege

O

Osvaldo A. Martin

C

Christian C. Luhmann

J

Junpeng Lao

R

Ravin Kumar

M

Maxim Kochurov

C

Christopher Fonnesbeck

L

Larry Dong

C

Colin Carroll

V

Virgile Andreani

O

Oriol Abril