GitHub

StatsPAI: a Python-native Stata/R replacement for applied causal inference

StatsPAI is for empirical researchers who would normally jump between Stata, R, and Python. Its goal is to make common Stata/R econometrics and causal-inference workflows feel native in Python: load a ...
Scientific Research Publishing

Modeling Port Congestion Using Queueing Theory: The Case of the Autonomous Port of Conakry ()

1 Department of Mathematics, University of Labe (UL), Labe, Guinea Conakry. 2 Department of Mathematics and Computer Science, University of Cheikh. A. Diop, Dakar, Senegal. 3 West African Institute of ...
GitHub

StateSpaceDynamics.jl: A Julia package for probabilistic state space models (SSMs)

StateSpaceDynamics.jl is a comprehensive and self-contained Julia package for working with probabilistic state space models (SSMs). It implements a wide range of state-space models, taking inspiration ...
搜狐

诚征译者 | Statistics and Data Visualization with Python

清华大学出版社近期拟引进 Taylor & Francis Group今年出版的一本 利用Python实现统计和数据可视化类英文著作，该著作旨在为有兴趣在数据科学与分析以及一般统计分析领域的学生和从业人员提供统计学方面的桥梁。 我社计划翻译成中文出版，以应广大读者的需求 ...
Frontiers

Bayesian Generalized Linear Model for Simulating Bacterial Inactivation/Growth Considering ...

Predictive microbiology models explain bacterial number variations over time and how growth/inactivation rates are affected by environmental conditions (Lammerding and Fazil, 2000). In the development ...
Frontiers

Perceptual Properties of the Poisson Effect

When an elastic material (e.g., fabric) is horizontally stretched (or compressed), the material is compressed (or extended) vertically – so-called the Poisson effect. In the different case of the ...