Group penalized logistic regressions predict up and down trends for stock prices

Sieve estimation of Cox models with latent structures

(2016) Yongxiu Cao et al.   BIOMETRICS

Computational Intelligence and Financial Markets: A Survey and Future Directions

(2016) Rodolfo C. Cavalcante et al.   EXPERT SYSTEMS WITH APPLICATIONS

A Review of Cutoffs for Nutritional Biomarkers

(2016) Ramkripa Raghavan et al.   Advances in Nutrition

Predicting stock and stock price index movement using Trend Deterministic Data Preparation and machine learning techniques

(2015) Jigar Patel et al.   EXPERT SYSTEMS WITH APPLICATIONS

Sparse optimization for nonconvex group penalized estimation

(2015) Sangin Lee et al.   JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION

Model selection and estimation in high dimensional regression models with group SCAD

(2015) Xiao Guo et al.   STATISTICS & PROBABILITY LETTERS

Penalized methods for bi-level variable selection

(2013) Patrick Breheny et al.   Statistics and Its Interface

A Selective Review of Group Selection in High-Dimensional Models

(2012) Jian Huang et al.   STATISTICAL SCIENCE

Group coordinate descent algorithms for nonconvex penalized regression

(2011) Fengrong Wei et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS

Nearly unbiased variable selection under minimax concave penalty

(2010) Cun-Hui Zhang   ANNALS OF STATISTICS

The group lasso for logistic regression

(2010) Lukas Meier et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

Surveying stock market forecasting techniques – Part II: Soft computing methods

(2008) George S. Atsalakis et al.   EXPERT SYSTEMS WITH APPLICATIONS