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A unified approach to robust estimation in finite population sampling 11 Aug 2013 | 01:00 pm
We argue that the conditional bias associated with a sample unit can be a useful measure of influence in finite population sampling. We use the conditional bias to derive robust estimators that are ob...
Statistics of orthogonal axial frames 11 Aug 2013 | 01:00 pm
An orthogonal axial frame is a set of orthonormal unit vectors which are known only up to sign. Such frames arise in crystallography and seismology and as principal axes of multivariate data or of som...
Automatic declustering of rare events 11 Aug 2013 | 01:00 pm
The analysis of events with low probability but disastrous impact entails understanding how they cluster in time. We present an automatic three-step procedure for identifying clusters, estimating the ...
Continuously additive models for nonlinear functional regression 11 Aug 2013 | 01:00 pm
We introduce continuously additive models, which can be viewed as extensions of additive regression models with vector predictors to the case of infinite-dimensional predictors. This approach produces...
Adaptive Bayesian multivariate density estimation with Dirichlet mixtures 11 Aug 2013 | 01:00 pm
We show that rate-adaptive multivariate density estimation can be performed using Bayesian methods based on Dirichlet mixtures of normal kernels with a prior distribution on the kernel's covariance ma...
Dimension reduction and predictor selection in semiparametric models 11 Aug 2013 | 01:00 pm
Dimension reduction in semiparametric regressions includes construction of informative linear combinations and selection of contributing predictors. To reduce the predictor dimension in semiparametric...
High-dimensional semiparametric bigraphical models 11 Aug 2013 | 01:00 pm
In multivariate analysis, a Gaussian bigraphical model is commonly used for modelling matrix-valued data. In this paper, we propose a semiparametric extension of the Gaussian bigraphical model, called...
Inverse probability weighting with error-prone covariates 11 Aug 2013 | 01:00 pm
Inverse probability-weighted estimators are widely used in applications where data are missing due to nonresponse or censoring and in the estimation of causal effects from observational studies. Curre...
Robust estimation of optimal dynamic treatment regimes for sequential treatment decisions 11 Aug 2013 | 01:00 pm
A dynamic treatment regime is a list of sequential decision rules for assigning treatment based on a patient’s history. Q- and A-learning are two main approaches for estimating the optimal regime, i.e...
More efficient estimators for case-cohort studies 11 Aug 2013 | 01:00 pm
The case-cohort study design, used to reduce costs in large cohort studies, involves a random sample of the entire cohort, called the subcohort, augmented with subjects having the disease of interest ...
