Results 1 to 10 of about 16,679,614 (365)

Hypothesis Testing [PDF]

Australian Critical Care, 2009
PowerPoint slides for Hypothesis Testing.
Bryant, Trevor
core   +8 more sources

Transfer Learning in Multiple Hypothesis Testing [PDF]

Entropy
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, María Eugenia Castellanos Nueda   +1 more
doaj   +2 more sources

Distributed Hypothesis Testing with Privacy Constraints

Entropy, 2019
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, Selma Belhadj Amor, Sadaf Salehkalaibar, Vincent Y. F. Tan   +3 more
doaj   +3 more sources

Optical quantum super-resolution imaging and hypothesis testing [PDF]

Nature Communications, 2022
Estimating the angular separation between two incoherent sources below the diffraction limit is challenging. Hypothesis testing and quantum state discrimination techniques are used to super-resolve sources of different brightness with a simple optical ...
Ugo Zanforlin, Cosmo Lupo, Peter W. R. Connolly, Pieter Kok, Gerald S. Buller, Zixin Huang   +5 more
doaj   +2 more sources

Hypothesis testing and statistical analysis of microbiome

Genes and Diseases, 2017
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
doaj   +2 more sources

Hypothesis testing using R [PDF]

Digital Diagnostics, 2023
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, Maria R. Kodenko, Yuliya F. Shumskaya, Anna P. Gonchar, Roman V. Reshetnikov   +4 more
doaj   +1 more source

ChainForge: A Visual Toolkit for Prompt Engineering and LLM Hypothesis Testing [PDF]

International Conference on Human Factors in Computing Systems, 2023
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, Chelse Swoopes, Priyan Vaithilingam, Martin Wattenberg, Elena L. Glassman   +4 more
semanticscholar   +1 more source

Marginal likelihood computation for model selection and hypothesis testing: an extensive review [PDF]

SIAM Review, 2020
This is an up-to-date introduction to, and overview of, marginal likelihood computation for model selection and hypothesis testing. Computing normalizing constants of probability models (or ratio of constants) is a fundamental issue in many applications ...
F. Llorente, Luca Martino, D. Delgado, J. Lopez-Santiago   +3 more
semanticscholar   +1 more source

Testing the superstar firm hypothesis

Journal of Applied Economics, 2022
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

MultipleTesting.com: A tool for life science researchers for multiple hypothesis testing correction

bioRxiv, 2021
Scientists from nearly all disciplines face the problem of simultaneously evaluating many hypotheses. Conducting multiple comparisons increases the likelihood that a non-negligible proportion of associations will be false positives, clouding real ...
O. Menyhárt, B. Weltz, Balázs Győrffy
semanticscholar   +1 more source