A Statistical Framework for Hypothesis Testing in Real Data Comparison Studies
نویسندگان
چکیده
منابع مشابه
A Statistical Framework for Hypothesis Testing in Real Data Comparison Studies
In computational sciences, including computational statistics, machine learning, and bioinformatics, most abstracts of articles presenting new supervised learning methods end with a sentence like “our method performed better than existing methods on real data sets”, e.g. in terms of error rate. However, these claims are often not based on proper statistical tests and, if such tests are performe...
متن کاملStatistical Hypothesis Testing in Positive Unlabelled Data
We propose a set of novel methodologies which enable valid statistical hypothesis testing when we have only positive and unlabelled (PU) examples. This type of problem, a special case of semi-supervised data, is common in text mining, bioinformatics, and computer vision. Focusing on a generalised likelihood ratio test, we have 3 key contributions: (1) a proof that assuming all unlabelled exampl...
متن کاملA statistical framework for testing modularity in multidimensional data.
Modular variation of multivariate traits results from modular distribution of effects of genetic and epigenetic interactions among those traits. However, statistical methods rarely detect truly modular patterns, possibly because the processes that generate intramodular associations may overlap spatially. Methodologically, this overlap may cause multiple patterns of modularity to be equally cons...
متن کاملA Statistical Framework for Testing Functional Categories in Microarray Data
Ready access to emerging databases of gene annotation and functional pathways has shifted assessments of differential expression in DNA microarray studies from single genes to groups of genes with shared biological function. This paper takes a critical look at existing methods for assessing the differential expression of a group of genes (functional category), and provides some suggestions for ...
متن کاملHYPOTHESIS TESTING FOR AN EXCHANGEABLE NORMAL DISTRIBUTION
Consider an exchangeable normal vector with parameters ????2, and ?. On the basis of a vector observation some tests about these parameters are found and their properties are discussed. A simulation study for these tests and a few nonparametric tests are presented. Some advantages and disadvantages of these tests are discussed and a few applications are given.
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: The American Statistician
سال: 2015
ISSN: 0003-1305,1537-2731
DOI: 10.1080/00031305.2015.1005128