Aim & Scope
Statistics and Computing is a bi-monthly refereed journal that publishes papers covering the interface between the statistical and computing sciences. The journal includes techniques for evaluating analytically intractable problems, such as bootstrap resampling, Markov chain Monte Carlo, sequential Monte Carlo, approximate Bayesian computation, search and optimization methods, stochastic simulation and Monte Carlo, graphics, computer environments, statistical approaches to software errors, information retrieval, machine learning, statistics of databases and database technology, huge data sets and big data analytics, computer algebra, graphical models, image processing, tomography, inverse problems and uncertainty quantification. The journal includes techniques for evaluating analytically intractable problems, such as bootstrap resampling, Markov chain Monte Carlo, sequential Monte Carlo, approximate Bayesian computation, search and optimization methods, stochastic simulation and Monte Carlo, graphics, computer environments, statistical approaches to software errors, information retrieval, machine learning, statistics of databases and database technology, huge data sets and big data analytics, computer algebra, graphical models, image processing, tomography, inverse problems and uncertainty quantification. [1]
2024 - VOLUME 34, ISSUE 5
L Ohl , P Mattei , C Bouveyron , ... , F Precioso
Statistics and Computing , 2024 - VOLUME 34, ISSUE 5
A mixture of experts regression model for functional response with functional covariates
J Tamo Tchomgui , J Jacques , G Fraysse , ... , S Chretien
Statistics and Computing , 2024 - VOLUME 34, ISSUE 5
A limit formula and a series expansion for the bivariate Normal tail probability
Statistics and Computing , 2024 - VOLUME 34, ISSUE 5
I Ortega-Fernandez , M Sestelo , N Villanueva
Statistics and Computing , 2024 - VOLUME 34, ISSUE 5
Classifier-dependent feature selection via greedy methods
F Camattari , S Guastavino , F Marchetti , ... , E Perracchione
Statistics and Computing , 2024 - VOLUME 34, ISSUE 5
On weak convergence of quantile-based empirical likelihood process for ROC curves
Statistics and Computing , 2024 - VOLUME 34, ISSUE 5
Locally sparse and robust partial least squares in scalar-on-function regression
S Gurer , H Shang , A Mandal , U Beyaztas
Statistics and Computing , 2024 - VOLUME 34, ISSUE 5
Efficient Shapley performance attribution for least-squares regression
L Bell , N Devanathan , S Boyd
Statistics and Computing , 2024 - VOLUME 34, ISSUE 5
Correction to: analysis of stochastic gradient descent in continuous time
Statistics and Computing , 2024 - VOLUME 34, ISSUE 5