time series analysis

Variational Gaussian Process Dynamical Systems NeurIPS 2011 Block Variable Selection in Multivariate Regression and High-dimensional Causal Inference NeurIPS 2010 Fast detection of multiple change-points shared by many signals using group LARS NeurIPS 2010 Inter-time segment information sharing for non-homogeneous dynamic Bayesian networks NeurIPS 2010 Learning Non-Stationary Dynamic Bayesian Networks JMLR 2010 Movement extraction by detecting dynamics switches and repetitions NeurIPS 2010 Non-stationary continuous dynamic Bayesian networks NeurIPS 2009 Sparsistent Learning of Varying-coefficient Models with Structural Changes NeurIPS 2009 Time-Varying Dynamic Bayesian Networks NeurIPS 2009 Kernel Change-point Analysis NeurIPS 2008 Nonparametric Bayesian Learning of Switching Linear Dynamical Systems NeurIPS 2008 Search for Additive Nonlinear Time Series Causal Models JMLR 2008 Bayesian binning beats approximate alternatives: estimating peri-stimulus time histograms NeurIPS 2007 Modeling Natural Sounds with Modulation Cascade Processes NeurIPS 2007 Bayesian Detection of Infrequent Differences in Sets of Time Series with Shared Structure NeurIPS 2006 Unified Inference for Variational Bayesian Linear Gaussian State-Space Models NeurIPS 2006 Machine Learning Methods for Predicting Failures in Hard Drives: A Multiple-Instance Application JMLR 2005