Cyber Defense Magazine

FBI Issues FLASH Warning on TeamPCP: Supply Chain Campaign Poses Long-Term Intrusion Risk

TeamPCP and What they Did On July 2, 2026, the FBI issued a FLASH advisory detailing an aggressive upstream supply chain ...
GitHub

StatsPAI: an Agent&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 ...
GitHub

BAyesian Model-Building Interface in Python

Bambi is a high-level Bayesian model-building interface written in Python. It's built on top of the PyMC probabilistic programming framework, and is designed to make it extremely easy to fit ...
Frontiers

Fitting reinforcement learning model to behavioral data under bandits

We consider the problem of fitting a reinforcement learning (RL) model to some given behavioral data under a multi-armed bandit environment. These models have received much attention in recent years ...
note

[IRT with Bayes 1] Introduction - Item Analysis and Data Preparation -

I am Fukunaka from GA technologies Co., Ltd. Currently, I work as a Chief Data Scientist in a department called Advanced Innovation Strategy Center (AISC) (please see the AISC website profile for a ...
Europe PMC

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

PyMC is a probabilistic programming library for Python that provides tools for constructing and fitting Bayesian models. It offers an intuitive, readable syntax that is close to the natural syntax ...
archive

IPython Interactive Computing and Visualization Cookbook

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