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Bayesian inference on dependence in multivariate longitudinal data
Cholesky decomposition covariance matrix moment-matching oxidative stress random effects shrinkage prior.
2012/9/17
In many applications, it is of interest to assess the dependence structure in multivariate longitudinal data. Discovering such dependence is challenging
due to the dimensionality involved. By concate...
Discriminating different classes of biological networks by analyzing the graphs spectra distribution
Discriminating different classes biological networks analyzing the graphs spectra distribution
2012/9/17
The brain's structural and functional systems, protein-protein interaction, and gene networks are examples of biological systems that share some features of com-plex networks, such as highly connected...
Adaptive estimation in regression and complexity of approximation of random fields
regression and complexity approximation random fields
2012/9/17
In this thesis we study adaptive nonparametric regression with noise misspecifi-cation and the complexity of approximation of random fields in dependence of the dimension.
First, we consider the prob...
A note on estimation in Hilbertian linear models
Adaptive estimation consistency functional regression Hilbert spaces infinite-dimensional data.
2012/9/17
We study estimation of the operator in the linear modelY = (X) +", when XandY take values in Hilbert spacesH1 andH2, respectively. Our main objective is to obtain consistency without imposing some rat...
On the prediction of functional time series
Dimension reduction Forecasting, Functional autoregressions Functional principal components, Functional time series Particulate matter Vector autoregressions
2012/9/17
This paper addresses the prediction of functional time series. Existing contributions to this problem have largely focused on the special case of rst-order functional autoregressive processes because...
Multiple Testing for Exploratory Research
Closed testing confidence set false discovery proportion
2012/9/17
Motivated by the practice of exploratory research, we for-mulate an approach to multiple testing that reverses the conventional roles of the user and the multiple testing procedure. Traditionally, the...
A Plea for Neutral Comparison Studies in Computational Sciences
Comparison Studies Computational Sciences
2012/9/17
In a context where most published articles are devoted to thedevelopment of “new meth-ods”, comparison studies are generally appreciated by readers but surprisingly given poor consideration by many sc...
Detecting Events and Patterns in Large-Scale User Generated Textual Streams with Statistical Learning Methods
Detecting Events Patterns Large-Scale User Generated Textual Streams Statistical Learning Methods
2012/9/18
A vast amount of textual web streams is influenced by events or phenomena emerging in the real world. The social web forms an excellent modern paradigm, where unstructured user generated content is pu...
Path Integral Control by Reproducing Kernel Hilbert Space Embedding
Path Integral Control Reproducing Kernel Hilbert Space Embedding
2012/9/18
We present an embedding of stochastic optimal control problems, of the so called path integral form, into reproducing kernel Hilbert spaces. Using consistent, sample based estimates of the embedding l...
Prediction and Computer Model Calibration Using Outputs From Multi-fidelity Simulators
Computer Experiment Gaussian process Markov Chain Monte Carlo.
2012/9/17
Computer codes are widely used to describe physical processes in lieu of physical observations.In some cases, more than one computer simulator, each with di erent degrees of delity, can be used to ex...
An Interacting Particle Method for Approximate Bayes Computations
Interacting Method Bayes Computations
2012/9/17
Approximate Bayes Computations (ABC) are used for parameter inference when the likelihood function is expensive to evaluate but relatively cheap to sample from. In ABC,a population of particles in the...
On the Linear Convergence of the Alternating Direction Method of Multipliers
Linear convergence alternating directions of multipliers error bound relaxation dual ascent.
2012/9/18
We analyze the convergence of the alternating direction method ofmultipliers (ADMM) for solving the problem of minimizing a nonsmooth convex separable function subject to linear constraints. Previous ...
How to sample if you must: on optimal functional sampling
Learning Theory Other Applications.
2012/9/17
We examine a fundamental problem that models various active sampling setups, such as network tomography. We analyze sampling of a multivariate normal distribution with an unknown expectation that need...
Minimax testing of a composite null hypothesis defined via a quadratic functional in the model of regression
Nonparametric hypotheses testing sharp asymptotics separation rates minimax approach high-dimensional regression.
2012/9/17
We consider the problem of testing a particular type of composite null hypothesis under a nonparametric multivariate regression model. For a given quadraticfunctional Q, the null hypothesis states tha...
Balancing Lifetime and Classification Accuracy of Wireless Sensor Networks
Balancing Lifetime Classification Accuracy Wireless Sensor Networks
2012/9/18
Wireless sensor networks are composed of dis-tributed sensors that can be used for signal detection or classification. The likelihood functions of the hypotheses are often not known in advance, and de...