Tracing studies in cohorts with attrition: Selection models for efficient sampling.
Sign Up to like & getrecommendations! Published in 2018 at "Statistics in medicine"
DOI: 10.1002/sim.7646
Abstract: Cohort studies of chronic diseases involve recruitment and longitudinal follow-up of affected individuals with a view to studying the effect of risk factors on disease progression and death. When the time to withdrawal from the… read more here.
Keywords: selection models; tracing studies; efficient sampling; cohorts attrition ... See more keywords
Exact and Efficient Sampling of Conditioned Walks
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DOI: 10.1007/s10955-017-1911-y
Abstract: A computationally challenging and open problem is how to efficiently generate equilibrated samples of conditioned walks. We present here a general stochastic approach that allows one to produce these samples with their correct statistical weight… read more here.
Keywords: conditioned walks; sampling conditioned; efficient sampling; exact efficient ... See more keywords
Global reliability sensitivity analysis based on state dependent parameter method and efficient sampling techniques
Sign Up to like & getrecommendations! Published in 2020 at "Aerospace Science and Technology"
DOI: 10.1016/j.ast.2020.105740
Abstract: Abstract In order to efficiently assess the influence of input variables on the failure of the structural systems, an improved global reliability sensitivity analysis (SA) method is proposed in this paper. The new method is… read more here.
Keywords: global reliability; method efficient; analysis; method ... See more keywords
An Efficient Sampling Scheme for the Eigenvalues of Dual Wishart Matrices
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DOI: 10.1109/lsp.2021.3121197
Abstract: Despite the numerous results in the literature about the eigenvalue distributions of Wishart matrices, the existing closed-form probability density function (pdf) expressions do not allow for efficient sampling schemes from such densities. In this letter,… read more here.
Keywords: sampling scheme; wishart matrices; dual wishart; efficient sampling ... See more keywords
Efficient Sampling of Bernoulli-Gaussian-Mixtures for Sparse Signal Restoration
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DOI: 10.1109/tsp.2022.3223775
Abstract: This paper introduces a new family of prior models called Bernoulli-Gaussian-Mixtures (BGM), with a view to efficiently address sparse linear inverse problems or sparse linear regression, in the Bayesian framework. The BGM family is based… read more here.
Keywords: mixtures sparse; sparse signal; gaussian mixtures; sampling bernoulli ... See more keywords
Efficient Sampling of Knotting-Unknotting Pathways for Semiflexible Gaussian Chains
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DOI: 10.3390/polym9060196
Abstract: We propose a stochastic method to generate exactly the overdamped Langevin dynamics of semi-flexible Gaussian chains, conditioned to evolve between given initial and final conformations in a preassigned time. The initial and final conformations have… read more here.
Keywords: unknotting pathways; knotting unknotting; efficient sampling; gaussian chains ... See more keywords