Enhancing Interpretability in Factor Analysis by Means of Mathematical Optimization
Published 2019 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Enhancing Interpretability in Factor Analysis by Means of Mathematical Optimization
Authors
Keywords
-
Journal
MULTIVARIATE BEHAVIORAL RESEARCH
Volume -, Issue -, Pages 1-15
Publisher
Informa UK Limited
Online
2019-10-30
DOI
10.1080/00273171.2019.1677208
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- On Mathematical Optimization for the visualization of frequencies and adjacencies as rectangular maps
- (2018) Emilio Carrizosa et al. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
- Visualization System Requirements for Data Processing Pipeline Design and Optimization
- (2017) Tatiana von Landesberger et al. IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
- GOTCHA! Network-Based Fraud Detection for Social Security Fraud
- (2017) Véronique Van Vlasselaer et al. MANAGEMENT SCIENCE
- Interpreting latent variables in factor models via convex optimization
- (2017) Armeen Taeb et al. MATHEMATICAL PROGRAMMING
- Visualizing data as objects by DC (difference of convex) optimization
- (2017) Emilio Carrizosa et al. MATHEMATICAL PROGRAMMING
- Sparse Exploratory Factor Analysis
- (2017) Nickolay T. Trendafilov et al. PSYCHOMETRIKA
- A Statistical Graphical Model of the California Reservoir System
- (2017) A. Taeb et al. WATER RESOURCES RESEARCH
- Sparsest factor analysis for clustering variables: a matrix decomposition approach
- (2017) Kohei Adachi et al. Advances in Data Analysis and Classification
- Projected principal component analysis in factor models
- (2016) Jianqing Fan et al. ANNALS OF STATISTICS
- Fixed factor analysis with clustered factor score constraint
- (2016) Kohei Uno et al. COMPUTATIONAL STATISTICS & DATA ANALYSIS
- Fast Bayesian Factor Analysis via Automatic Rotations to Sparsity
- (2016) Veronika Ročková et al. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION
- An Analytics Approach to Designing Combination Chemotherapy Regimens for Cancer
- (2016) Dimitris Bertsimas et al. MANAGEMENT SCIENCE
- Build, Compute, Critique, Repeat: Data Analysis with Latent Variable Models
- (2014) David M. Blei Annual Review of Statistics and Its Application
- A penalized maximum likelihood approach to sparse factor analysis
- (2013) Jang Choi et al. Statistics and Its Interface
- Supervised classification and mathematical optimization
- (2012) Emilio Carrizosa et al. COMPUTERS & OPERATIONS RESEARCH
- A feasible method for optimization with orthogonality constraints
- (2012) Zaiwen Wen et al. MATHEMATICAL PROGRAMMING
- A Comparative Investigation of Rotation Criteria Within Exploratory Factor Analysis
- (2010) Daniel A. Sass et al. MULTIVARIATE BEHAVIORAL RESEARCH
- A penalized matrix decomposition, with applications to sparse principal components and canonical correlation analysis
- (2009) D. M. Witten et al. BIOSTATISTICS
- High-Dimensional Sparse Factor Modeling: Applications in Gene Expression Genomics
- (2009) Carlos M. Carvalho et al. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION
- Operations research and data mining
- (2006) Sigurdur Olafsson et al. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now