Disease combinations are often unique – anonymization of health data is therefore particularly complex. An interview on ...

What’s often misunderstood about Google’s incrementality testing and how Bayesian models use probability to guide better ...

We consider the usual proportional hazards model in the case where the baseline hazard, the covariate link, and the covariate coefficients are all unknown. Both the baseline hazard and the covariate ...

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

This study examined the relationship between the Monetary Policy Rate (MPR) and inflation across five continents from 2014 to 2023 using both Frequentist and Bayesian Linear Mixed Models (LMM). It ...

As an editor and writer who has contributed to many national and local publications, Nicole Gregory enjoys communicating clearly on critical health topics so that readers can make informed choices for ...

Discover what step costs are, why they matter in business, and explore examples showing how these costs increase at specific levels of activity for better financial planning.

In five short steps, we'll give you ideas on building and managing your retirement money. Many, or all, of the products featured on this page are from our advertising partners who compensate us when ...

Bayesian inference is a statistical method of inductive reasoning based on the reassessment of competing hypotheses in the presence of new evidence. Conceptually similar to the scientific method ...