“This book is a complete study of ℓ1-penalization based statistical methods for high-dimensional data … . Definitely, this book is useful. … its strong level in mathematics makes it more suitable to researchers and graduate students who already have a strong background in statistics. … ...
Traditional Chinese medicine (TCM) is increasingly getting attention worldwide, as it has played a very satisfactory role in treating COVID-19 during these past 3 years, and the Chinese government highly supports the development of TCM. The therapeu
Statistical Methods in e-Commerce Research (Statistics in Practice) 2024 pdf epub mobi 电子书 图书描述 在线阅读本书 This groundbreaking book introduces the application of statistical methodologies to e–Commerce data With the expanding presence of technology in today′s economic market, the use of ...
Handbook of Statistics Sample Surveys: Design, Methods and Applications Edited by C.R. Rao - Director Center for Multivariate Analysis, Department of Statistics, The Pennsylvania State University, University Park, PA, USA Volume 29, Part A, Pages i-xxiv, 3-698 (2009) Download full volume ...
The development of high-resolution microscopes has made it possible to investigate cellular processes in 3D and over time. However, observing fast cellular dynamics remains challenging because of photobleaching and phototoxicity. Here we report the imple
Bank transactions are highly confidential. As a result, there are no real public data sets that can be used to investigate and compare anti-money laundering (AML) methods in banks. This severely limits research on important AML problems such as efficienc
Role of the Funder/Sponsor: The funders/sponsors had no role in the design and conduct of the study; collection, management, analysis and interpretation of the data; preparation review, or approval of the manuscript; and decision to submit the manuscript for publication. References 1. Bonini S...
The increased adoption of the internet, social media, wearable devices, e-health services, and other technology-driven services in medicine and healthcare has led to the rapid generation of various types of digital data, providing a valuable data source beyond the confines of traditional clinical ...
Bayesian statistics is an approach to data analysis based on Bayes’ theorem, where available knowledge about parameters in a statistical model is updated with the information in observed data. The background knowledge is expressed as a prior distributio
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