151 citations · 154 across the 5 of their papers we have counts for
5 papers
Emanuel Parzen: A Memorial, and a Model With the Two Kernels That He Championed
Grace Wahba
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…
Distance Shrinkage and Euclidean Embedding via Regularized Kernel Estimation
Luwan Zhang, Grace Wahba, Ming Yuan
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,…
Statistical Model Building, Machine Learning, and the Ah-Ha Moment
Grace Wahba
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 contribut…
Multivariate Bernoulli distribution
Bin Dai, Shilin Ding, Grace Wahba
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…
An introduction to (smoothing spline) ANOVA models in RKHS with examples in geographical data, medicine, atmospheric science and machine learning
Grace Wahba
Smoothing Spline ANOVA (SS-ANOVA) models in reproducing kernel Hilbert spaces (RKHS) provide a very general framework for data analysis, modeling and learning in a variety of field…