Results 11 to 20 of about 1,687,803 (280)
A DB estimation method for the E-MN probability distribution parameters with applications in humanities [PDF]
Journal of Mahani Mathematical Research, 2023 One of the humanities' most basic topics is the response time to creative problem-solving and decision-making in this field. In recent years, response time modeling by fitting an exponentially-modified normal (E-MN) probability distribution and the ...
Sajjad Piradl
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Journal of Water and Climate Change, 2022 It remains a key challenge to obtain reliable future precipitation estimates and their reliability under different climate scenarios. In this study, the deterministic projection of future precipitation in the Yellow River Basin (YRB) was obtained within ...
Zhouliang Sun +9 more
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Estimating Probabilities of Default [PDF]
SSRN Electronic Journal, 2004 In this paper we conduct a systematic comparison of confidence intervals around estimated probabilities of default (PD) using several analytical approaches from large sample theory as well as bootstrapped small-sample confidence intervals. We do so for two different PD estimation methods, cohort and duration (intensity), using 22 years of credit ...
Til Schuermann, Samuel Hanson
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Differentially Private Sparse Covariance Matrix Estimation under Lower-Bounded Moment Assumption
Mathematics, 2023 This paper investigates the problem of sparse covariance matrix estimation while the sampling set contains sensitive information, and both the differentially private algorithm and locally differentially private algorithm are adopted to preserve privacy ...
Huimin Li, Jinru Wang
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Fast Collision Detection for Small Unmanned Aircraft Systems in Urban Airspace
IEEE Access, 2021 With the dramatic development of small unmanned aircraft systems (sUAS), how to ensure sUAS safety operation has been a growing concern. This article proposes a fast probabilistic collision detection method for sUAS based on probability density function ...
Yiyuan Zou +4 more
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Semiparametric maximum likelihood probability density estimation
PLoS ONE, 2021 A comprehensive methodology for semiparametric probability density estimation is introduced and explored. The probability density is modelled by sequences of mostly regular or steep exponential families generated by flexible sets of basis functions ...
Frank Kwasniok
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EA/G-GA for Single Machine Scheduling Problems with Earliness/Tardiness Costs
Entropy, 2011 An Estimation of Distribution Algorithm (EDA), which depends on explicitly sampling mechanisms based on probabilistic models with information extracted from the parental solutions to generate new solutions, has constituted one of the major research areas
Yuh-Min Chen +3 more
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Hastings-Metropolis algorithm on Markov chains for small-probability estimation [PDF]
, 2014 Shielding studies in neutron transport, with Monte Carlo codes, yield challenging problems of small-probability estimation. The particularity of these studies is that the small probability to estimate is formulated in terms of the distribution of a ...
Bachoc, François +2 more
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Bayesian estimation applied to multiple species [PDF]
, 2006 Observed data are often contaminated by undiscovered interlopers, leading to biased parameter estimation. Here we present BEAMS (Bayesian estimation applied to multiple species) which significantly improves on the standard maximum likelihood approach in ...
B. P. Schmidt +6 more
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Fast Searching Strategy for Critical Cascading Paths Toward Blackouts
IEEE Access, 2018 The analysis of severe cascading blackouts is an essential issue in power grid planning and operation. As there are a tremendous number of possible cascade paths in a large power system, it is very challenging to determine the critical cascading paths ...
Zhiyuan Ma +4 more
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