Results 21 to 30 of about 10,224,594 (387)
Image Co-localization by Mimicking a Good Detector's Confidence Score Distribution [PDF]
European Conference on Computer Vision, 2016 Given a set of images containing objects from the same category, the task of image co-localization is to identify and localize each instance. This paper shows that this problem can be solved by a simple but intriguing idea, that is, a common object ...
A Joulin +14 more
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Bootstrap confidence intervals in mixtures of discrete distributions [PDF]
Journal of Statistical Planning and Inference, 2008 The problem of building bootstrap confidence intervals for small probabilities with count data is addressed. The law of the independent observations is assumed to be a mixture of a given family of power series distributions. The mixing distribution is estimated by nonparametric maximum likelihood and the corresponding mixture is used for resampling. We
Patilea, Valentin, Karlis, Dimitris
openaire +7 more sources
Confidence disc and square for Cauchy distributions
Ukrains’kyi Matematychnyi Zhurnal, 2023 UDC 519.21 We construct a confidence region of parameters for a sample of size N from the Cauchy distributed random variables. Although Cauchy distribution has two parameters, a location parameter μ ∈ ℝ and a scale parameter σ > 0 , we infer them simultaneously by regarding them as a single complex parameter γ : = μ
Akaoka, Yuichi +2 more
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Distributed Simultaneous Inference in Generalized Linear Models via Confidence Distribution. [PDF]
J Multivar Anal, 2020 Tang L, Zhou L, Song PX.
europepmc +2 more sources
Bayesian Confidence Bands for a Distribution Function [PDF]
The Annals of Statistics, 1978 A set of recurrences is developed for computing the probability content of any prior or posterior confidence bands for a distribution function assuming the parameter of the prior Dirichlet process known. When the prior parameter is unknown and is estimated from the sample, nonparametric estimates of the probability content of the posterior bands are ...
M. Breth
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Efficient network meta-analysis: a confidence distribution approach. [PDF]
Stat Methodol, 2014 Yang G +4 more
europepmc +2 more sources
Overcoming Dilution of Collision Probability in Satellite Conjunction Analysis via Confidence Distribution. [PDF]
Entropy (Basel)In satellite conjunction analysis, dilution of collision probability has been recognized as a significant deficiency of probabilistic inference. A recent study identified the false confidence problem as another limitation and suggested a possible causal ...
Lee H, Lee Y.
europepmc +2 more sources
Confidence in confidence distributions! [PDF]
Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2020 The recent article ‘Satellite conjunction analysis and the false confidence theorem’ (Balch et al . 2019, Satellite conjunction analysis and the false confidence theorem. Proc. R. Soc. A 475 , 20180565) points to certain difficulties with Bayesian analysis when used for models for
Céline Cunen +2 more
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Confidence Distributions for FIC Scores [PDF]
Econometrics, 2020 When using the Focused Information Criterion (FIC) for assessing and ranking candidate models with respect to how well they do for a given estimation task, it is customary to produce a so-called FIC plot. This plot has the different point estimates along the y-axis and the root-FIC scores on the x-axis, these being the estimated root-mean-square scores.
Céline Cunen, Nils Lid Hjort
openaire +6 more sources
Journal of the American Statistical Association, 2021 Fusion learning refers to synthesizing inferences from multiple sources or studies to make a more effective inference and prediction than from any individual source or study alone.
Dungang Liu, Regina Y. Liu, Min‐ge Xie
semanticscholar +1 more source