Results 81 to 90 of about 4,889,303 (231)
Real‐Time Fractional Control of an Electrohydraulic System Using Low‐Cost Technology
International Journal of Mechanical System Dynamics, EarlyView.ABSTRACT Advances in control methods for electrohydraulic systems (EHS) improve performance by addressing nonlinearities and unknown parameters, although most studies are limited to numerical simulations. Furthermore, research with experimental validation often relies on high‐performance computing equipment, specialized data acquisition cards, and ...
Edgar H. Robles‐Sauceda +5 more
wiley +1 more source
Study on Financial Market Risk Measurement Based on Asymmetric Laplace Distribution [PDF]
American Journal of Theoretical and Applied Statistics, 2015 In this paper, According to the returns distributions (of the financial assets returns series) with peak fat-tailed and asymmetric and the theory of Asymmetric Laplace distribution.AL-VaR (AL-CVaR) parametric method and Monte Carlo simulation are proposed which are based on Asymmetric Laplace distribution.
openaire +1 more source
Information Design for Early‐Stage Dose‐Finding Trials
Naval Research Logistics (NRL), EarlyView.ABSTRACT To enhance enrollment rates in early‐stage dose‐finding clinical trials, we propose an information design approach, where the clinical investigator (CI) commits to an information releasing mechanism (IRM) based on the treatment's uncertain efficacy and toxicity to encourage patients to participate in the trial.
Amin Khademi, Ningyuan Chen
wiley +1 more source
Binary quantile regression: a Bayesian approach based on the asymmetric Laplace distribution
Journal of Applied Econometrics, 2010 SUMMARYThis paper develops a Bayesian method for quantile regression for dichotomous response data. The frequentist approach to this type of regression has proven problematic in both optimizing the objective function and making inferences on the parameters.
Benoit, Dries, Van den Poel, Dirk
openaire +1 more source
An Asymmetric Block Dynamic Conditional Correlation Multivariate GARCH Model [PDF]
The Block DCC model for determining dynamic correlations within and between groups of financial asset returns is extended to account for asymmetric effects.
Vargas, Gregorio A.
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Bayesian Estimation of Simultaneous Regression Quantiles Using Hamiltonian Monte Carlo
AlgorithmsThe simultaneous estimation of multiple quantiles is a crucial statistical task that enables a thorough understanding of data distribution for robust analysis and decision-making.
Hassan Hachem, Candy Abboud
doaj +1 more source
Quality and Reliability Engineering International, EarlyView.ABSTRACT Low‐cost sensors are increasingly being used, and also considered for usage in regulatory contexts like air quality monitoring. Proper sensor calibration and uncertainty evaluation is necessary in such cases. With the advance of mobile sensors, for example, installed on top of a car, new test and calibration paradigms are required, in ...
Gertjan Kok, Shahin Tabandeh
wiley +1 more source
High Level Current Modeling for Shaping Electromagnetic Emissions in Micropipeline Circuits
Journal of Low Power Electronics and Applications, 2019 In order to fit circuit electromagnetic emissions within a spectral mask, a design flow based on high level current modeling for micropipeline circuits is proposed. The model produces a quick and rough estimation of the circuit current, thanks to a Timed
Sophie Germain +2 more
doaj +1 more source
Not All Missing Data are Equal: Choosing the Right Imputation Method for Binary Datasets
Quality and Reliability Engineering International, EarlyView.ABSTRACT Missing binary predictors are common in reliability, quality control, and industrial decision systems, yet imputation methods are often chosen by convenience rather than evidence. We conduct a Monte Carlo study comparing mode substitution, sequential hot‐deck, missForest, MICE, and KNN with three neighbourhood sizes under MCAR, MAR, and MNAR ...
Manuel Delfino, Fabio Rapallo
wiley +1 more source
Asymmetric Laplace scale mixtures for the distribution of cryptocurrency returns
, 2022 Recent studies about cryptocurrency returns show that its distribution can be highly-peaked, skewed, and heavy-tailed, with a large excess kurtosis. To accommodate all these peculiarities, we propose the asymmetric Laplace scale mixture (ALSM) family of ...
Bagnato, Luca, Punzo, Antonio
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