📖 Start here: 5-minute introduction page — hero, install, five runnable snippets covering simulation → fitting → KS goodness-of-fit → decoding → SSGLM, plus a paper-example thumbnail gallery and v1.4 ...
Many physiological processes rely on cellular communication through ligand mediated signalling, where ligands secreted by cells diffuse through the extracellular space and bind to receptors to trigger ...
The Gaussian copula is a pivotal tool in credit risk modelling, widely used for assessing the joint probability of credit events, such as defaults, in portfolios like collateralised debt obligations ...
In the realm of probability and statistics, the binomial distribution serves as a cornerstone concept, shaping decisions across industries. It is essential for understanding scenarios with a fixed ...
The Bayesian approach to statistical inference and other data analysis tasks gets its name from Bayes’s theorem (BT). BT specifies that a posterior probability for a hypothesis concerning a data ...
This library supports calculation of uniform boundaries, confidence sequences, and always-valid p-values. These constructs are useful in sequential A/B testing, best-arm identification, and other ...
Bayesian statistics is an approach to data analysis based on Bayes’ theorem, where available knowledge about parameters in a statistical model is updated with the information in observed data. The ...
Understanding the effect of stochastic phenomena on the behavior of the nervous system requires stochastic simulation algorithms that effectively and accurately capture the dynamics of the underlying ...
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