activity
20142024
most citedDecomposition of the Inequality of Income Distribution by Income Types - Application for Romania

15 citations · 52 across the 9 of their papers we have counts for

collaborators

9 papers

econ.GN2024★ 2 cited

Big data in economics

Bogdan Oancea

The term of big data was used since 1990s, but it became very popular around 2012. A recent definition of this term says that big data are information assets characterized by high…

cs.CY2017

The return to higher education: evidence from Romania

Bogdan Oancea, Richard Pospisil, Raluca Mariana Dragoescu

Education is one of the most important components of the human capital, and an important determinant of the personal income. Estimating the rate of return to education is a main to…

q-fin.GN2017★ 15 cited

Decomposition of the Inequality of Income Distribution by Income Types - Application for Romania

Tudorel Andrei, Bogdan Oancea, Peter Richmond +2

This paper identifies the salient factors that characterize the inequality income distribution for Romania. Data analysis is rigorously carried out using sophisticated techniques b…

cs.DC2015★ 2 cited

Improving the performance of the linear systems solvers using CUDA

Bogdan Oancea, Tudorel Andrei, Raluca Mariana Dragoescu

Parallel computing can offer an enormous advantage regarding the performance for very large applications in almost any field: scientific computing, computer vision, databases, data…

cs.DC2015★ 4 cited

Developing a High Performance Software Library with MPI and CUDA for Matrix Computations

Bogdan Oancea, Tudorel Andrei

Nowadays, the paradigm of parallel computing is changing. CUDA is now a popular programming model for general purpose computations on GPUs and a great number of applications were p…

cs.MS2015

Accelerating R with high performance linear algebra libraries

Bogdan Oancea, Tudorel Andrei, Raluca Mariana Dragoescu

Linear algebra routines are basic building blocks for the statistical software. In this paper we analyzed how can we can improve R performance for matrix computations. We benchmark…

cs.DC2014★ 2 cited

GPGPU Computing

Bogdan Oancea, Tudorel Andrei, Raluca Mariana Dragoescu

Since the first idea of using GPU to general purpose computing, things have evolved over the years and now there are several approaches to GPU programming. GPU computing practicall…

cs.DC2014★ 14 cited

Integrating R and Hadoop for Big Data Analysis

Bogdan Oancea, Raluca Mariana Dragoescu

Analyzing and working with big data could be very diffi cult using classical means like relational database management systems or desktop software packages for statistics and visua…

cs.NE2014★ 13 cited

Time series forecasting using neural networks

Bogdan Oancea, ŞTefan Cristian Ciucu

Recent studies have shown the classification and prediction power of the Neural Networks. It has been demonstrated that a NN can approximate any continuous function. Neural network…