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Dirichlet Posterior Sampling with Truncated Multinomial Likelihoods
Dirichlet Posterior Sampling Multinomial Likelihoods
2012/9/18
This document considers the problem of drawing samples from posterior distributions formed under a Dirichlet prior and a truncated multinomial likelihood, by which we mean a Multi-nomial likelihood fu...
Causal band-limited approximation and forecasting for discrete time processes
band-limited processes discrete time processes causal filters sampling low-pass filters forecasting.
2012/9/18
We study causal dynamic approximation of non-bandlimited discretetime processes by band-limited discrete time processes such that a part of the historical path of the underlying process is approximate...
Assessing the Health of Richibucto Estuary with the Latent Health Factor Index
AMBI Bayesian statistics hierarchical modelling infaunal trophic index Markov chain Monte Carlo statistical inference
2012/9/17
The ability to quantitatively assess the health of an ecosystem is often of great interest to those tasked with monitoring and conserving ecosystems. For decades, research in this area has relied upon...
Testing Functional Inequalities
Conditional moment inequalities kernel estimation one-sided test local power Lp norm Poissonization
2012/9/17
This paper develops tests for inequality constraints of nonparametric re-gression functions. The test statistics involve a one-sided versionofLp-type functionals of kernel estimators (1≤p <∞). Drawing...
A geometric formulation of fiducial probability
A geometric formulation fiducial probability
2012/9/18
The geometric formulation of fiducial probability employedin this paper is an im-provement over the usual pivotal quantity formulation. Fora single parameter and single observation, the new formulatio...
Generating a synthetic population of individuals in households: Sample-free vs sample-based methods
individuals in households Sample-free sample-based methods
2012/9/18
We compare a sample-free method proposed byGargiuloet al.(2010) and a sample-based method proposed byYe et al.(2009) for generating a synthetic population, organised in households, from various statis...
A note on extreme values and kernel estimators of sample boundaries
support estimation asymptotic normality kernel estimator ex-treme values.
2012/9/18
In a previous paper [3], we studied a kernel estimate of the upper edge of a two-dimensional bounded set, based upon the extreme values of a Poisson point process. The initial paper [1] on the subject...
Geometry of faithfulness assumption in causal inference
causal inference PC-algorithm (strong) faithfulness conditional independence directed acyclic graph structural equation model real algebraic hypersurface Crofton's formula algebraic statistics.
2012/9/18
Many algorithms for inferring causality rely heavily on the faithfulness assumption.The main justi cation for imposing this assumption is that the set of unfaithful distribu-tions has Lebesgue measure...
Control of a finite dam when the input process is either spectrally positive Levy or spectrally positive Levy reflected at its infimum
policies spectrally positive L´ evy processes spectrally pos-itive L´ evy processes reflected at its infimum scale functions exit times α-potentials total discounted and long-run-average costs.
2012/9/18
Baeet al. [6] consider the problem of optimal control of a finite dam usingPMλ,τpolicies, assuming that the input process is a compound Poisson process
with a negative drift. Lam and Lou [8] treat th...
Control of a finite dam when the input process is either spectrally positive Levy or spectrally positive Levy reflected at its infimum
policies spectrally positive L丩evy processes spectrally pos-itive L丩evy processes reflected at its infimum scale functions exit times 兛-potentials total discounted and long-run-average costs.
2012/9/18
Baeet al. [6] consider the problem of optimal control of a finite dam usingPM兩,冄policies, assuming that the input process is a compound Poisson process
with a negative drift. Lam and Lou [8] treat th...
TheMacaulay2packageGraphicalModelscontains algorithms for the algebraic study of graphical models associated to undirected, directed and mixed graphs, and associated collections of conditional indepen...
A two-stage denoising filter: the preprocessed Yaroslavsky filter
Image denoising Yaroslavsky lter Wavelets Curvelets Nonlocal Means
2012/9/18
This paper describes a simple image noise removal method which combines a preprocessing step with the Yaroslavsky lter for strong numerical, visual, and theoretical performance on a broad class of im...
A Widely Applicable Bayesian Information Criterion
Bayes marginal likelihood Widely applicable Bayes Information Criterion
2012/9/18
A statistical model or a learning machine is called regular if the map taking a pa-rameter to a probability distribution is one-to-one and if its Fisher information matrix is always positive definite....
On computation of clustering coefficient in a class of random networks
random graph clustering degree of separation
2012/9/18
The random networks enriched with additional structures asmetric and group-symmetry in background metric space are investigated. The important quantities like he clustering coefficient as well as the ...
Mixture Models for Single Cell Assays with Applications to Vaccine Studies
Mixture Models Single Cell Assays Applications to Vaccine Studies
2012/9/18
Blood and tissue are composed of many functionally distinct cell subsets. In immunological studies, these can only be measured accurately using single-cell assays. The characterization of these small ...