Likelihood Ratio Tests for Model Selection and Non-Nested Hypotheses
In this paper, we develop a classical approach to model selection. Using the Kullback-Leibler Information Criterion to measure the closeness of a model to the truth, we propose ...
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In this paper, we develop a classical approach to model selection. Using the Kullback-Leibler Information Criterion to measure the closeness of a model to the truth, we propose ...
In this case series of critically ill patients with laboratory-confirmed COVID-19 admitted to ICUs in Lombardy, Italy, the majority were older men, a large proportion required m...
Much of the current thinking about competitive strategy focuses on ways that firms can create imperfectly competitive product markets in order to obtain greater than normal econ...
Current methods for inferring population structure from genetic data do not provide formal significance tests for population differentiation. We discuss an approach to studying ...
Background: The American Heart Association, in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stro...
This chapter presents the basic concepts and results of the theory of testing statistical hypotheses. The generalized likelihood ratio tests that are discussed can be applied to...
This paper presents a new approach to single-image super-resolution, based on sparse signal representation. Research on image statistics suggests that image patches can be well-...
The purpose of this study was to determine human resource management in the Madrasah Aliyah Al-Mathitiriyah Rupit District. This type of research is qualitative research with de...
Numerous large-scale genomic studies of matched tumor-normal samples have established the somatic landscapes of most cancer types. However, the downstream analysis of data from ...
Abstract Introduced in 2017, the GEPIA (Gene Expression Profiling Interactive Analysis) web server has been a valuable and highly cited resource for gene expression analysis bas...