Representative vs. Random Samples: Key Differences Explained

Learn how representative samples and random samples differ and why combining them minimizes sampling bias for accurate data.
JSTOR Daily

Using Standard Tools From Finite Population Sampling to Improve Causal Inference for Complex Experiments

This article considers causal inference for treatment contrasts from a randomized experiment using potential outcomes in a finite population setting. Adopting a Neymanian repeated sampling approach ...
EDN

Purpose-built AI inference architecture: Reengineering compute design

Over the past several years, the lion’s share of artificial intelligence (AI) investment has poured into training infrastructure—massive clusters designed to crunch through oceans of data, where speed ...
JSTOR Daily

Multivariate Normal Inference based on Singly Imputed Synthetic Data under Plug-in Sampling

This is a preview. Log in through your library . Abstract In this paper we consider singly imputed synthetic data generated via plugin sampling under the multivariate normal model. Based on the ...
EDN

The next AI frontier: AI inference for less than $0.002 per query

Inference is rapidly emerging as the next major frontier in artificial intelligence (AI). Historically, the AI development and deployment focus has been overwhelmingly on training with approximately ...
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What Is Inference? The Bridge Between Clues and Conclusions

We all have the habit of trying to guess the killer in a movie before the big reveal. That’s us making inferences. It’s what happens when your brain connects the dots without being told everything ...