Results 41 to 50 of about 363,287 (369)

Uncertainty quantification in tree structure and polynomial regression algorithms toward material indices prediction

Data-Centric Engineering
Machine learning’s integration into reliability analysis holds substantial potential to ensure infrastructure safety. Despite the merits of flexible tree structure and formulable expression, random forest (RF) and evolutionary polynomial regression (EPR)
Geng-Fu He, Pin Zhang, Zhen-Yu Yin
doaj   +1 more source

Bayesian and Non-Bayesian Inference for Unit-Exponentiated Half-Logistic Distribution with Data Analysis

Applied Sciences, 2022
Unit distributions are typically used in probability theory and statistics to illustrate useful quantities with values between zero and one. In this paper, we investigated an appropriate transformation to propose the unit-exponentiated half-logistic ...
Amal S. Hassan, Aisha Fayomi, Ali Algarni, Ehab M. Almetwally   +3 more
doaj   +1 more source

Practical rare event sampling for extreme mesoscale weather

, 2019
Extreme mesoscale weather, including tropical cyclones, squall lines, and floods, can be enormously damaging and yet challenging to simulate; hence, there is a pressing need for more efficient simulation strategies.
Abbot, Dorian S., O'Neill, Morgan E, Plotkin, David A., Weare, Jonathan, Webber, Robert J.   +4 more
core   +1 more source

Inference for Extremal Conditional Quantile Models, with an Application to Market and Birthweight Risks [PDF]

, 2009
Quantile regression is an increasingly important empirical tool in economics and other sciences for analyzing the impact of a set of regressors on the conditional distribution of an outcome. Extremal quantile regression, or quantile regression applied to
Chernozhukov, Victor, Fernandez-Val, Ivan   +1 more
core   +3 more sources

Quantiles in Abstract Convex Structures

Axioms, 2018
In this short paper, we aim at a qualitative framework for modeling multivariate decision problems where each alternative is characterized by a set of properties.
Marta Cardin
doaj   +1 more source

Probability and Certainty in the Performance of Evolutionary and Swarm Optimization Algorithms

Mathematics, 2022
Reporting the empirical results of swarm and evolutionary computation algorithms is a challenging task with many possible difficulties. These difficulties stem from the stochastic nature of such algorithms, as well as their inability to guarantee an ...
Nikola Ivković, Robert Kudelić, Matej Črepinšek   +2 more
doaj   +1 more source

Quantile forecasts of daily exchange rate returns from forecasts of realized volatility [PDF]

, 2008
Quantile forecasts are central to risk management decisions because of the widespread use of Value-at-Risk. A quantile forecast is the product of two factors: the model used to forecast volatility, and the method of computing quantiles from the ...
Ana Beatriz Galvão, Andersen, Andersen, Andersen, Andersen, Bandi, Barndorff-Nielsen, Barndorff-Nielsen, Barndorff-Nielsen, Barndorff-Nielsen, Blair, Bollerslev, Bollerslev, Christoffersen, Clements, Comte, Diebold, Engle, Ghysels, Ghysels, Giacomini, Giot, Granger, Hansen, Jae H. Kim, Koopman, Michael P. Clements, Poon, West, White, Zhang   +30 more
core   +1 more source

The potency of eco-innovation, natural resource and financial development on ecological footprint: a quantile-ARDL-based evidence from China

Environmental science and pollution research international, 2021
Given the alarming deterioration of the environment, the present analysis investigates the role of eco-innovation, natural resources and financial development in influencing the environmental degradation of China.
Sahar Afshan, Tanzeela Yaqoob
semanticscholar   +1 more source

Theory and Applications of the Unit Gamma/Gompertz Distribution

Mathematics, 2021
Unit distributions are commonly used in probability and statistics to describe useful quantities with values between 0 and 1, such as proportions, probabilities, and percentages. Some unit distributions are defined in a natural analytical manner, and the
Rashad A. R. Bantan, Farrukh Jamal, Christophe Chesneau, Mohammed Elgarhy   +3 more
doaj   +1 more source

Local Quantile Regression [PDF]

, 2010
Quantile regression is a technique to estimate conditional quantile curves. It provides a comprehensive picture of a response contingent on explanatory variables.
Härdle, Wolfgang Karl, Spokoiny, Vladimir, Wang, Weining   +2 more
core   +5 more sources