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Beyond Hypothesis Testing [PDF]
The extraordinary success of physicists to find simple laws that explain many phenomena is beguiling. With the exception of quantum mechanics, it suggests a deterministic world in which theories are right or wrong, and the world is simple.
Joseph B. Kadane
doaj +2 more sources
The process of drawing conclusions about an entire population on the basis of the information contained in a random sample drawn from that population is known as statistical inference. Methods of statistical inference fall into 2 general categories: estimation and hypothesis testing.
Kimberlee Gauvreau
exaly +6 more sources
Distributed Hypothesis Testing with Privacy Constraints [PDF]
We revisit the distributed hypothesis testing (or hypothesis testing with communication constraints) problem from the viewpoint of privacy. Instead of observing the raw data directly, the transmitter observes a sanitized or randomized version of it.
Atefeh Gilani +3 more
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Hypothesis Testing the Circuit Hypothesis in LLMs
Code available here: https://github.com/blei-lab ...
Claudia Shi +7 more
openaire +4 more sources
Transfer Learning in Multiple Hypothesis Testing [PDF]
In this investigation, a synthesis of Convolutional Neural Networks (CNNs) and Bayesian inference is presented, leading to a novel approach to the problem of Multiple Hypothesis Testing (MHT). Diverging from traditional paradigms, this study introduces a
Stefano Cabras +1 more
doaj +2 more sources
Hypothesis testing and statistical analysis of microbiome
After the initiation of Human Microbiome Project in 2008, various biostatistic and bioinformatic tools for data analysis and computational methods have been developed and applied to microbiome studies.
Yinglin Xia, Jun Sun
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Hypothesis testing using R [PDF]
Competencies in statistical data processing are becoming increasingly important for modern scientists. The apparent advantages of open-source software for statistical analysis are its accessibility and adaptability.
Ivan A. Blokhin +4 more
doaj +1 more source
ChainForge: A Visual Toolkit for Prompt Engineering and LLM Hypothesis Testing [PDF]
Evaluating outputs of large language models (LLMs) is challenging, requiring making—and making sense of—many responses. Yet tools that go beyond basic prompting tend to require knowledge of programming APIs, focus on narrow domains, or are closed-source.
Ian Arawjo +4 more
semanticscholar +1 more source
Testing the superstar firm hypothesis
Firms with superior productivity, labeled superstar firms, are argued to be the link between rising concentration and the fall of the aggregate labor share in the US.
Caroline Stiel, Alexander Schiersch
doaj +1 more source
Testing the facsimile accommodation hypothesis
Research has failed to find evidence for a genuineness effect: the idea that aesthetic experiences are better when looking at real artworks versus reproductions of those artworks.
Eva Specker, Helmut Leder
doaj +1 more source

