Scholarly Works - Book sections
Book section
·
January 1, 2015
It is common to model the joint probability distribution of a family of n random variables {X1, . . . , Xn} in two stages: First to specify the conditional dependence structure of the distribution, then to specify details of the conditional distributions o ...
Full text
Cite
Book section
·
2007
We consider the nonparametric regression problem of estimating an unknown function based on noisy data. One approach to this estimation problem is to represent the function in a series expansion using a linear combination of basis functions. Overcomplete d ...
Cite
Book section
·
2006
We present model-based inference for proteomic peak identification and quantification from mass spectroscopy data, focusing on nonparametric Bayesian models. Using experimental data generated from MALDI-TOF mass spectroscopy (matrix-assisted laser desorpti ...
Full text
Cite
Book section
·
January 1, 2006
Lévy processes are random processes on Euclidean space that are stochastically continuous and have stationary independent increments. They, and their stochastic integrals, have become useful tools in a variety of nonparametric statistical and environmetric ...
Full text
Cite