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Analysis of Computational Thinking Ability of High School Students in Solving Statistics problems

open access: yesPRISMA
This research is motivated by the importance of computational thinking skills in 21st century learning. This research aims to describe the computational thinking skills of high school students in solving problems on statistics material. This research is a descriptive research with qualitative approach.
Swasto, Widya   +2 more
openaire   +2 more sources

A Solution Quality Assessment Method for Swarm Intelligence Optimization Algorithms

open access: yesThe Scientific World Journal, 2014
Nowadays, swarm intelligence optimization has become an important optimization tool and wildly used in many fields of application. In contrast to many successful applications, the theoretical foundation is rather weak.
Zhaojun Zhang   +3 more
doaj   +1 more source

The Practical Solutions and Computer Program of Two Statistical Problems in Simulation

open access: yes, 1969
In the last several years monte-carlo simulation has become a major tool for the analysis of complex queuing systems which are no readily amenable to analysis by conventional mathematical methods. By a complex queueing system is mean a system composed of, physically or by analogy, a network of stations or servers with traffic units moving through all ...
openaire   +3 more sources

Statistical-Computational Tradeoffs in Planted Problems and Submatrix Localization with a Growing Number of Clusters and Submatrices

open access: yes, 2014
We consider two closely related problems: planted clustering and submatrix localization. The planted clustering problem assumes that a random graph is generated based on some underlying clusters of the nodes; the task is to recover these clusters given the graph.
Chen, Yudong, Xu, Jiaming
openaire   +2 more sources

Markov Chain Monte Carlo Technology [PDF]

open access: yes
In the past fifteen years computational statistics has been enriched by a powerful, somewhat abstract method of generating variates from a target probability distribution that is based on Markov chains whose stationary distribution is the probability ...
Chib, Siddhartha
core  

A data-driven identification method based on neural networks for solving statistical inverse problems in computational mechanics

open access: yes, 2022
his work presents a data-driven machine learning framework for the solution of statistical inverse problems in multiscale computational solid mechanics. The proposed identification method is based on the design of an artificial neural network [Haykin, 1994, Demuth et al., 2014] in order to learn the nonlinear mapping between the hyperparameters of a ...
Pled, Florent, Desceliers, Christophe
openaire   +1 more source

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