13 citations · 36 across the 5 of their papers we have counts for
5 papers
Model Building for Semiparametric Mixtures
Ramani S. Pilla, Francesco Bartolucci, Bruce G. Lindsay
An important and yet difficult problem in fitting multivariate mixture models is determining the mixture complexity. We develop theory and a unified framework for finding the nonpa…
Inference in Perturbation Models, Finite Mixtures and Scan Statistics: The Volume-of-Tube Formula
Ramani S. Pilla, Catherine Loader
This research creates a general class of "perturbation models" which are described by an underlying "null" model that accounts for most of the structure in data and a perturbation…
Inference Under Convex Cone Alternatives for Correlated Data
Ramani S. Pilla
In this research, inferential theory for hypothesis testing under general convex cone alternatives for correlated data is developed. While there exists extensive theory for hypothe…
A New Technique for Finding Needles in Haystacks: A Geometric Approach to Distinguishing Between a New Source and Random Fluctuations
Ramani S. Pilla, Catherine Loader, Cyrus Taylor
We propose a new test statistic based on a score process for determining the statistical significance of a putative signal that may be a small perturbation to a noisy experimental…
On large-sample estimation and testing via quadratic inference functions for correlated data
Ramani S. Pilla, Catherine Loader
Hansen (1982) proposed a class of "generalized method of moments" (GMMs) for estimating a vector of regression parameters from a set of score functions. Hansen established that, un…