The ranks of U.S. government statisticians have been gutted in the past year due to layoffs and buyouts. That along with diminished funding and attacks on their independence have put at risk the data ...
Abstract: The debiased estimator is a crucial tool in statistical inference for high-dimensional model parameters. However, constructing such an estimator involves estimating the high-dimensional ...
Abstract: This paper proposes a graph neural network (GNN) based model, termed interference channel net (ICNet), for multiple-input single-output (MISO) interference channels with statistical channel ...
Content from the course "Principles and Applications in Statistical Analysis (52221)" at The Hebrew University of Jerusalem, in the Department of Statistics and Data Science. The Bayesian KMO index is ...
Howard Lutnick, the commerce secretary, suggested government spending should be excluded from data about U.S. economic output. By Ben Casselman and Colby Smith Comments from a member of President ...
Wasserman, L. (2004) All of Statistics: A Concise Course in Statistical Inference. Springer Science.
ABSTRACT: This study investigates the application of the two-parameter Weibull distribution in modeling state holding times within HIV/AIDS progression dynamics. By comparing the performance of the ...
Copyright: © 2024 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies. Frequentist and Bayesian ...
A report says new approaches and increased spending are needed to ensure that government statistics remain dependable and free of political influence. By Ben Casselman Federal Reserve officials use ...
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