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

A research team introduces a hierarchical Bayesian spatial approach that integrates UAV and terrestrial LiDAR data to estimate AGB of individual trees in natural secondary forests of northeastern ...

Here are 11 free NPTEL data science and analytics courses from leading IITs cover graph theory, Bayesian modelling, Python, R, databases and big-data stats. These are all free to audit, and enrolment ...

A study conducted by experts from the University of the Philippines-Diliman showed that logistic regression is a reliable ...

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 ...

Insecticide-treated nets (ITNs) are the most impactful and cost-effective control tool against malaria. ITNs are primarily distributed through triennial mass campaigns across Africa, though overall ...

Researchers from BI Norwegian Business School and NHH Norwegian School of Economics have developed a new behavioral credit-risk model that integrates credit and debit transactions. The model ...

WiseCode uses AI-driven data analysis to reveal ingredient and nutrient information, helping you make more informed shopping ...

Berkshire Hathaway remains a solid, internally diversified company with strong leadership and integrity. Read why BRK.A stock ...

The Observer has compiled a list of 2025 guides, tutorials, and manuals designed to support psychological scientists as they ...

Dehorning rhinos significantly reduces poaching rates, offering a promising strategy for conservation in African reserves.

This article explores how AI-augmented laboratories optimize high-throughput experimentation and improve efficiency in ...