An application of active learning Kriging for the failure probability and sensitivity functions of turbine disk with imprecise probability distributions
Sign Up to like & getrecommendations! Published in 2021 at "Engineering With Computers"
DOI: 10.1007/s00366-021-01366-y
Abstract: For the reliability analysis with imprecise probability distributions, the failure probability and its sensitivity are always denoted as the functions of distribution parameters. The computation of those functional relationships remains a challenging task due to… read more here.
Keywords: probability distributions; imprecise probability; sensitivity; probability ... See more keywords
CVaR distance between univariate probability distributions and approximation problems
Sign Up to like & getrecommendations! Published in 2018 at "Annals of Operations Research"
DOI: 10.1007/s10479-017-2732-8
Abstract: The paper defines new distances between univariate probability distributions, based on the concept of the CVaR norm. We consider the problem of approximation of a discrete distribution by some other discrete distribution. The approximating distribution… read more here.
Keywords: approximation; approximating distribution; probability distributions; distribution ... See more keywords
Polynomial Approximations for Bivariate Aggregate Claims Amount Probability Distributions
Sign Up to like & getrecommendations! Published in 2017 at "Methodology and Computing in Applied Probability"
DOI: 10.1007/s11009-015-9470-7
Abstract: A numerical method to compute bivariate probability distributions from their Laplace transforms is presented. The method consists in an orthogonal projection of the probability density function with respect to a probability measure that belongs to… read more here.
Keywords: probability; approximations bivariate; polynomial approximations; bivariate aggregate ... See more keywords
Probability distributions of shotcrete parameters for reliability-based analyses of rock tunnel support
Sign Up to like & getrecommendations! Published in 2019 at "Tunnelling and Underground Space Technology"
DOI: 10.1016/j.tust.2019.02.002
Abstract: A common support measure for underground excavations in jointed rock masses to support loose blocks is to apply a thin shotcrete layer to the periphery of the excavation and systematically install ... read more here.
Keywords: probability distributions; shotcrete parameters; support; reliability based ... See more keywords
Testing temporal integration of feature probability distributions using role-reversal effects in visual search
Sign Up to like & getrecommendations! Published in 2021 at "Vision Research"
DOI: 10.1016/j.visres.2021.07.012
Abstract: The visual system is sensitive to statistical properties of complex scenes and can encode feature probability distributions in detail. But does the brain use these statistics to build probabilistic models of the ever-changing visual input?… read more here.
Keywords: feature probability; feature; visual search; temporal integration ... See more keywords
Population coding of conditional probability distributions in dorsal premotor cortex
Sign Up to like & getrecommendations! Published in 2018 at "Nature Communications"
DOI: 10.1038/s41467-018-04062-6
Abstract: Our bodies and the environment constrain our movements. For example, when our arm is fully outstretched, we cannot extend it further. More generally, the distribution of possible movements is conditioned on the state of our… read more here.
Keywords: dorsal premotor; probability; cortex; premotor cortex ... See more keywords
A new measure between sets of probability distributions with applications to erratic financial behavior
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Statistical Mechanics: Theory and Experiment"
DOI: 10.1088/1742-5468/ac3d91
Abstract: This paper introduces a new framework to quantify distance between finite sets with uncertainty present, where probability distributions determine the locations of individual elements. Combining this with a Bayesian change point detection algorithm, we produce… read more here.
Keywords: sets probability; measure; behavior; probability distributions ... See more keywords
Deterministic and randomized motions in single-well potentials
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Physics A: Mathematical and Theoretical"
DOI: 10.1088/1751-8121/ab4350
Abstract: Newtonian, undamped motion in single-well potentials belong to a class of well-studied conservative systems. Here, we investigate and compare long-time properties of fully deterministic motions in single-well potentials with analogous randomized systems. We consider a… read more here.
Keywords: motions single; deterministic randomized; time; single well ... See more keywords
Probability distributions of continuous measurement results for conditioned quantum evolution
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DOI: 10.1103/physrevb.95.085427
Abstract: We address the statistics of continuous weak linear measurement on a few-state quantum system that is subject to a conditioned quantum evolution. For a conditioned evolution, both the initial and final states of the system… read more here.
Keywords: probability; evolution; quantum evolution; conditioned quantum ... See more keywords
Universal Probability Distributions of Scattering Observables in Ultracold Molecular Collisions.
Sign Up to like & getrecommendations! Published in 2019 at "Physical review letters"
DOI: 10.1103/physrevlett.123.013401
Abstract: Currently, quantum dynamics theory cannot be used for quantitative predictions of molecular scattering observables at low temperatures because of two problems. The first problem is the extreme sensitivity of the low-temperature observables to details of… read more here.
Keywords: probability distributions; distributions scattering; universal probability; scattering observables ... See more keywords
Locating Image Objects With Probability Distributions
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2022.3229566
Abstract: In this letter, we predict the locations as probability distributions for the tasks of image object detection. We adopt the Kullback-Leibler divergences as the regression losses to train the deep neural networks. Since most existing… read more here.
Keywords: image objects; image; probability distributions; objects probability ... See more keywords