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pro vyhledávání: '"Wahba, Grace"'
Autor:
Wahba, Grace
Manny Parzen passed away in February 2016, and this article is written partly as a memorial and appreciation. Manny made important contributions to several areas, but the two that influenced me most were his contributions to kernel density estimation
Externí odkaz:
http://arxiv.org/abs/1803.05555
Autor:
Zhou, Hao Henry, Zhang, Yilin, Ithapu, Vamsi K., Johnson, Sterling C., Wahba, Grace, Singh, Vikas
Many studies in biomedical and health sciences involve small sample sizes due to logistic or financial constraints. Often, identifying weak (but scientifically interesting) associations between a set of predictors and a response necessitates pooling
Externí odkaz:
http://arxiv.org/abs/1709.00640
Publikováno v:
Statistical Science, 2020 May 01. 35(2), 308-320.
Externí odkaz:
https://www.jstor.org/stable/26997897
Although recovering an Euclidean distance matrix from noisy observations is a common problem in practice, how well this could be done remains largely unknown. To fill in this void, we study a simple distance matrix estimate based upon the so-called r
Externí odkaz:
http://arxiv.org/abs/1409.5009
Variable selection is of increasing importance to address the difficulties of high dimensionality in many scientific areas. In this paper, we demonstrate a property for distance covariance, which is incorporated in a novel feature screening procedure
Externí odkaz:
http://arxiv.org/abs/1407.7297
Autor:
Geng, Zhigeng, Wang, Sijian, Yu, Menggang, Monahan, Patrick O., Champion, Victoria, Wahba, Grace
In many scientific and engineering applications, covariates are naturally grouped. When the group structures are available among covariates, people are usually interested in identifying both important groups and important variables within the selecte
Externí odkaz:
http://arxiv.org/abs/1306.4397
Autor:
Wahba, Grace
The Committee of Presidents of Statistical Societies (COPSS) will celebrate its 50th Anniversary in 2013. As part of its celebration, COPSS intends to publish a book with contributions from the past recipients of its four awards, namely the Fisher Le
Externí odkaz:
http://arxiv.org/abs/1303.5153
Publikováno v:
Bernoulli 2013, Vol. 19, No. 4, 1465-1483
In this paper, we consider the multivariate Bernoulli distribution as a model to estimate the structure of graphs with binary nodes. This distribution is discussed in the framework of the exponential family, and its statistical properties regarding i
Externí odkaz:
http://arxiv.org/abs/1206.1874
Classical penalized likelihood regression problems deal with the case that the independent variables data are known exactly. In practice, however, it is common to observe data with incomplete covariate information. We are concerned with a fundamental
Externí odkaz:
http://arxiv.org/abs/1008.0415
Autor:
Alzheimer’s Disease Neuroimaging Initiative, Zhou, Hao Henry, Singh, Vikas, Johnson, Sterling C., Wahba, Grace
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America, 2018 Feb . 115(7), 1481-1486.
Externí odkaz:
https://www.jstor.org/stable/26507333