This article is a record of Python copying activities for Chapter 8, Part 3: 'Poisson Regression Model' of the book 'Introduction to Data Analysis with Bayesian Statistical Modeling using R and Stan'.

Fives ProSim, a subsidiary of the Fives Group and an expert in industrial process simulation and optimization, announces the release of ProSimPlus Python API. This new solution enables users to run ...

Beta package associated with the paper "Filtered Point Processes Tractably Capture Rhythmic And Broadband Power Spectral Structure in Field-based Neural Recordings ...

Point process provides a mathematical framework for characterizing neuronal spiking activities. Classical point process methods often focus on the conditional intensity function, which describes the ...

Abstract: We study rate-distortion problems of a Poisson process using a group theoretic approach. By describing a realization of a Poisson point process with either point timings or inter-point ...

The code generating the following figure is found in test_poisson_gamma_vbinf.py.

摘要: In Benin, Shea tree (Vitellaria paradoxa) is one of the agroforestry species of great socio-economic importance for local populations. Given the actual variation in the climate parameters, it is ...

Abstract: Due to recent developments in the cellular communication system, stochastic process implementation is necessary. The cellular communication system exhibits random patterns in various domains ...