Is the Bicycle Parking Lot Really Full on Mondays? Questioning Common Sense with Bayesian Inference

8:00 AM. The usual bicycle parking lot is nearly full. People around me mutter, "It's Monday, after all," or "It's always ...

The Lies of Generational Theory Exposed by Statistics—The Surprising Reason Why People in Their 60s Use MaaS

"Older generations are bad with new things." "Young people are easily adaptable to technology." These generational theories ...

The PPC marketer’s guide to Google’s Meridian

Traditional marketing mix models struggle with paid search. Google's Meridian uses geo-level data and search signals to ...
Frontiers

Repeated exposure rivals lightweight training in Bayesian inference: accuracy, retention, and generalization

Bayesian inference is fundamental to interpreting diagnostic evidence, yet individuals often fail to integrate base rates and test characteristics when evaluating test results. Key questions are ...
Computerworld

AI inference is getting cheaper, but your agents are getting more expensive

As agents reason, replan, call other agents, and work continuously in the background, Gartner predicts inference costs per workflow will rise more than fivefold through 2028. The good news is that ...
The Motley Fool

The AI Infrastructure Market Is Shifting to Inference. 5 Stocks to Play This Future $1.3 Trillion Market Opportunity

A major shift is underway in the AI infrastructure market, with inference becoming the primary growth driver, replacing AI model training. Bloomberg Intelligence projects that the inference market ...
pymnts

Competing Inferences From Consumer Behavior: Evaluating Empirical Evidence in Privacy Disputes

Consumer behavior evidence plays an increasingly important role in privacy litigation and regulatory proceedings, where courts and agencies are often asked to draw conclusions from consumers’ ...
Boat International

Why are there two investigations into Bayesian – and could they reach different conclusions?

Nearly two years after the 56-metre Perini Navi sailing yacht Bayesian sank, one of the biggest questions surrounding the disaster remains unresolved: what actually caused the yacht to sink? So, why ...
databricks.com

Reliable LLM Inference at Scale

Multi-tenant LLM serving requires reasoning about capacity across workloads. "Model units" provide a VM-like abstraction that makes it possible to allocate, route, and scale GPU resources per customer ...
Stratechery

The Inference Shift

If you were looking for the ideal time to IPO, being a chip company in May 2026 is hard to beat. Reuters reported over the weekend: Cerebras Systems is set to raise the size and price of its initial ...
Frontiers

Null hypothesis significance testing vs. Bayesian inference using generalized linear mixed models with binary outcomes: a case study under practical design constraints

Empirical investigation requires dealing with fundamental uncertainty. In experimental psychology, research questions are often addressed using Null Hypothesis Significance Testing (NHST), an approach ...
GitHub

bsts-causalimpact

Bayesian structural time series for causal inference in Python. A faithful port of Google's CausalImpact R package. No TensorFlow required. The Gibbs sampler is implemented in Rust (via PyO3), ...