Statistics, Optimization & Information Computing

Statistics, Optimization and Information Computing (SOIC) is an international refereed journal dedicated to the latest advancement of statistics, optimization and applications in information sciences.  Topics of interest are (but not limited to):

 Statistical theory and applications

  • Statistical computing, Simulation and Monte Carlo methods, Bootstrap, Resampling methods, Spatial Statistics, Survival Analysis, Nonparametric and Semiparametric Methods, Asymptotics, Bayesian Inference and Bayesian Optimization
  • Stochastic processes, Probability, Statistics and applications
  • Statistical methods and modeling in life sciences including biomedical sciences, environmental sciences and agriculture
  • Decision Theory, Time series analysis,  High-dimensional  multivariate integrals, statistical analysis in market, business, finance, insurance, economic and social science, etc

 Optimization methods and applications

  • Linear and Nonlinear Optimization
  • Stochastic Optimization, Statistical Optimization and Markov-chain etc.
  • Game Theory, Network Optimization and Combinatorial Optimization
  • Variational Analysis, Convex Optimization and Nonsmooth Optimization
  • Global Optimization and Semidefinite Programming 
  • Complementarity Problems and Variational Inequalities
  • Optimal Control: Theory and Applications
  • Operations Research, Optimization and applications in management science and engineering

Computing and Applied Analysis on Information Sciences

  • Machine Learning, Intelligence Computation and Optimization
  • Compressive sensing, Sparse reconstruction
  • Inverse Problem and Imaging, Signal and Image Processing, Medical Imaging and Analysis
  • Pattern Recognition and Computer Vision
  • Data mining, Data analysis, Cluster Computing, Classification
  • Information retrieval, Bioinformatics, Information Computing
  • Numerical Analysis and Algorithms with applications in computer science and engineering

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SOIC has been indexed in Mathematical Reviews, MathSciNet, Google Scholar...


Statistics, Optimization & Information Computing has been indexed in Mathematical Reviews, MathSciNet, JournalClick, Google Scholar, STATISTICS AND PROBABILITY JOURNALS

Posted: 2014-11-16 More...

ISSN 2310-5070 (online) ISSN 2311-004X (print)


SOIC publication has been recorded permanently in the ISSN Register as follows:

ISSN 2310-5070 (online) ISSN 2311-004X (print)

Key title: Statistics, optimization & information computing
Abbreviated key title: Stat., optim. inf. comput.

Posted: 2013-11-21 More...
More Announcements...

Vol 3, No 1 (2015)

Table of Contents

Research Articles

Image reconstruction from incomplete convolution data via total variation regularization PDF
Zhida Shen, Zhe Geng, Junfeng Yang 1-14
Adaptive Proximal Point Algorithms for Total Variation Image Restoration PDF
Ying Chen, Jian Wu, Gaohang Yu 15-29
Minimax Interpolation Problem for Random Processes with Stationary Increments PDF
Maxim Luz, Mikhail Moklyachuk 30-41
An extended compound gamma model and application to composite fading channels PDF
Princy T 42-53
A hybrid bird mating optimizer algorithm with teaching-learning-based optimization for global numerical optimization PDF
Qingyang Zhang, Guolin Yu, Hui Song 54-65
The 95% confidence intervals of error rates and discriminant coefficients PDF
Shuichi Shinmura 66-78
Polinomial Chaos based on the parallelized ensamble Kalman filter to estimate precipitation states PDF
Luis Sanchez, Saba Infante, Jose Marcano, Victor Griffin 79-95

Scientific Report

On Measurement of Efficiency of Cobb-Douglas Production Function with Additive and Multiplicative Errors PDF
Md. Moyazzem Hossain, Ajit Kumar Majumder 96-104

ISSN: 2310-5070