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

Maximum likelihood estimation of Gaussian mixture models without matrix operations

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

False Discovery Rate Control in Magnetic Resonance Imaging Studies via Markov Random Fields

(2014) Hien D. Nguyen et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

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

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

Prey capture in zebrafish larvae serves as a model to study cognitive functions

(2013) Akira Muto et al.   Frontiers in Neural Circuits

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

Optimization of a GCaMP Calcium Indicator for Neural Activity Imaging

(2012) J. Akerboom et al.   JOURNAL OF NEUROSCIENCE

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

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

Spatially Adaptive Mixture Modeling for Analysis of fMRI Time Series

(2010) T. Vincent et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

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

(2009) Theresa Scharl et al.   BIOINFORMATICS

On composite marginal likelihoods

(2008) Cristiano Varin   AStA-Advances in Statistical Analysis