Maximum Pseudolikelihood Estimation for Model-Based Clustering of Time Series Data

Spatial clustering of time series via mixture of autoregressions models and Markov random fields

(2016) Hien D. Nguyen et al.   STATISTICA NEERLANDICA

On full efficiency of the maximum composite likelihood estimator

(2015) E.C. Kenne Pagui et al.   STATISTICS & PROBABILITY LETTERS

Maximum likelihood estimation of Gaussian mixture models without matrix operations

(2015) Hien D. Nguyen et al.   Advances in Data Analysis and Classification

The Richness of Task-Evoked Hemodynamic Responses Defines a Pseudohierarchy of Functionally Meaningful Brain Networks

(2014) Pierre Orban et al.   CEREBRAL CORTEX

A Unified Convergence Analysis of Block Successive Minimization Methods for Nonsmooth Optimization

(2013) Meisam Razaviyayn et al.   SIAM JOURNAL ON OPTIMIZATION

Time-series data mining

(2012) Philippe Esling et al.   ACM COMPUTING SURVEYS

Clustering of time-course gene expression profiles using normal mixture models with autoregressive random effects

(2012) Kui Wang et al.   BMC BIOINFORMATICS

The pipeline system for Octave and Matlab (PSOM): a lightweight scripting framework and execution engine for scientific workflows

(2012) Pierre Bellec et al.   Frontiers in Neuroinformatics

Model-based clustering and segmentation of time series with changes in regime

(2011) Allou Samé et al.   Advances in Data Analysis and Classification

Mixtures of regression models for time course gene expression data: evaluation of initialization and random effects

(2009) Theresa Scharl et al.   BIOINFORMATICS