While these issues have been discussed in simple statistical problems, they have not been well understood by bioinformatics researchers in modeling complex microarray data. In this talk, we will address these issues and their impact on various standard testing and classification methods and illustrate ...
1994, Methods in Experimental PhysicsWilliam Q. Meeker, Luis A. Escobar Chapter Prediction in Text Mining Statistical Data Analysis Statistical analyses and modeling often focus on “hypothesis testing” and “parameter estimation.” For example, in multiple regression, the parameters of a linear model...
Solve data analysis problems associated with massive, complex datasets Develop innovative statistical approaches, machine learning algorithms, or methods integrating ideas across disciplines, e.g., statistics, computer science, electrical engineering, operation research. Formulate and solve high-impact real-wo...
Kiefer, C., Bernstein, A., Locher, A. (2008). Adding Data Mining Support to SPARQL Via Statistical Relational Learning Methods. In: Bechhofer, S., Hauswirth, M., Hoffmann, J., Koubarakis, M. (eds) The Semantic Web: Research and Applications. ESWC 2008. Lecture Notes in Computer Scien...
Methods and apparatus for privacy preserving data mining using statistical condensing approach Methods and apparatus for generating at least one output data set from at least one input data set for use in association with a data mining process are provided. First, data statistics are constructed from...
novel statistical and/or machine learning methods and theory, and state-of-the-art applications with high impact. Of special interest are articles that describe innovative analytical techniques, and discuss their application to real problems, in such a way that they are accessible and beneficial to...
including graphical models, random forests, ensemble methods, least angle regression & path algorithms for the lasso, non-negative matrix factorization, and spectral clustering. There is also a chapter on methods for "wide" data (p bigger than n), including multiple testing and fal...
Varimax and Promax rotation methods were explored in depth. This is in part because Varimax is often a starting point for a Promax rotation. A sample is said to "load on" a given factor when the model suggests a strong fit on the given factor. Rotation in EFA is a method for making ...
Statistical Methods in the Atmospheric Sciences, Fourth Edition,continues the tradition of trying to meet the needs of students, researchers and operational practitioners. This updated edition not only includes expanded sections built upon the strengths of the prior edition, but also provides new conten...
coherent whole. The relationships among the methods are emphasized. I know of no other book that covers so much ground. Of course, with such broad cov- erage, it is not possible to cover any single topic in great depth, so this book ...