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On characteristics of an ordinary differential equation and a related inverse problem in epidemiology
Chronic disease Compartment model Incidence Mortality Prevalence Population
2012/9/18
In this work we examine the properties of a recently described ordinary differential equation that relates the age-specific prevalence of achronic dis-ease with the incidence and mortalities of the di...
Comment on "Bayesian astrostatistics: a backward look to the future" by Tom Loredo
Comment "Bayesian astrostatistics: a backward look to the future" Tom Loredo
2012/9/18
This short note points out two of the incongruences that I findin the Loredo (2012) comments on Andreon (2012), i.e. on my chapter written for the book “Astrostatistical Challenges for the New Astrono...
Adaptive Graph via Multiple Kernel Learning for Nonnegative Matrix Factorization
Data Representation Nonnegtive Matrix Factorization Graph Regularization Multiple Kernel Learning.
2012/9/18
Nonnegative Matrix Factorization (NMF) has been contin-uously evolving in several areas like pattern recognition and information retrieval methods. It factorizes a matrix into a product of 2 low-rank ...
A stochastic variational framework for fitting and diagnosing generalized linear mixed models
Hierarchical model Identify divergent units Large longitudinal data Non-conjugate model Stochastic approximation Variational Bayes
2012/9/17
Variational Bayes computational methods are attracting increasing in-terest because of their ability to scale to large data sets. Here, application of the
non-conjugate variational message passing (N...
Using prior information to identify boundaries in disease risk maps
Conditional Autoregressive priors Disease mapping Lo-calised spatial smoothing
2012/9/17
Disease maps display the spatial pattern in disease risk, so that high-risk clusters can be identi ed. The spatial structure in the risk map is typically represented by a set of random e ects, which a...
Critical Properties of $S^{4}$ System Restudied via Generalized Migdal-Kadanoff Bond-moving Renormalization
Critical Properties System Restudied via Generalized Bond-moving Renormalization
2012/9/17
We study the critical properties of the spin-continuousS4 system on the typical translational in-variant triangular lattices by combining the recently developed generalized Migdal-Kadanoff bond-moving...
Kramers-type effective Reactive Flow in Structured-noise Environments
Kramers-type Reactive Flow Structured-noise Environments
2012/9/17
The non-Markovian features of three typical anomalous diffusing systems are studied by analyti-cally solving the generalized Langevin equation directly driven by three kind of internal structured-nois...
Fast MCMC sampling for Markov jump processes and extensions
Markov jump process uniformization MCMC Gibbs sampler Markov-modulated Poisson process continuous-time Bayesian network
2012/9/17
Markov jump processes (or continuous-time Markov chains) are a simple and important class of continuous-time dynamical systems. In this paper, we tackle the problem of simu-lating from the posterior d...
Mark-Recapture with Multiple Non-invasive Marks
Latent multinomial model Mark-recapture Multiple marks Non-invasive marks Photo-identi cation Whale sharks
2012/9/17
Non-invasive marks including pigmentation patterns, acquired scars, and genetic markers, are often used to identify individuals in mark-recapture exper-iments. Such data present new statistical challe...
Ensemble Clustering with Logic Rules
ensemble learning clustering, biological annotation logic rule random projection
2012/9/19
In this article, the logic rule ensembles approach to supervised learning is applied to the unsupervised or semi-supervised clustering. Logic rules which were obtained by combining simple conjunctive ...
Iterative graph cuts for image segmentation with a nonlinear statistical shape prior
Image segmentation MM graph cuts energy minimization statistical shape prior kernel density estimation
2012/9/18
Shape-based regularization has proven to be a useful method for delineating objects from the noisy im-ages encountered in many applications when one has prior
knowledge of the shape of the targeted o...
Bayesian Analysis of Multiway Tables in Association Studies: A Model Comparison Approach
Bayesian Analysis Multiway Tables Association Studies Model Comparison Approach
2012/9/17
We consider the problem of statistical inference on unknown quantities structured as a multiway table. We show that such multiway tables are naturally formed by arranging regression coecients in comp...
Wavelet Deconvolution in a Periodic Setting with Long-Range Dependent Errors
Besov Spaces Deconvolution fractional Brownian motion Long-Range Dependence Maxiset theory Wavelet Analysis
2012/9/17
In this paper, a hard thresholding wavelet estimator is constructed for a deconvolution model in a periodic setting that has long-range dependent noise. The estimation paradigm is based on a maxiset m...
A non-parametric mixture model for topic modeling over time
non-parametric mixture model topic modeling over time
2012/9/17
A single, stationary topic model such as la-tent Dirichlet allocation is inappropriate for modeling corpora that span long time peri-ods, as the popularity of topics is likely to change over time. A n...
Accept & Reject Statement-Based Uncertainty Models
acceptability indifference desirability favourability preference prevision
2012/9/18
We develop a framework for modelling and reasoning with uncertainty based on accept and reject statements about gambles. It generalises the frameworks found in the literature based on statements of ac...