Time Series Analysis

Selective Prediction of Financial Trends with Hidden Markov Models NeurIPS 2011 Signal Estimation Under Random Time-Warpings and Nonlinear Signal Alignment NeurIPS 2011 The Stationary Subspace Analysis Toolbox JMLR 2011 Variational Gaussian Process Dynamical Systems NeurIPS 2011 Auto-Regressive HMM Inference with Incomplete Data for Short-Horizon Wind Forecasting NeurIPS 2010 Copula Processes NeurIPS 2010 Dynamic Infinite Relational Model for Time-varying Relational Data Analysis NeurIPS 2010 Fast detection of multiple change-points shared by many signals using group LARS NeurIPS 2010 Graphical Gaussian modelling of multivariate time series with latent variables AISTATS 2010 Improving Human Judgments by Decontaminating Sequential Dependencies NeurIPS 2010 Learning Networks of Stochastic Differential Equations NeurIPS 2010 State-Space Inference and Learning with Gaussian Processes AISTATS 2010 Canonical Time Warping for Alignment of Human Behavior NeurIPS 2009 Exploring Functional Connectivities of the Human Brain using Multivariate Information Analysis NeurIPS 2009 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 Variational Gaussian-process factor analysis for modeling spatio-temporal data NeurIPS 2009 White Functionals for Anomaly Detection in Dynamical Systems NeurIPS 2009 Adaptive Template Matching with Shift-Invariant Semi-NMF NeurIPS 2008 Forecasting Web Page Views: Methods and Observations JMLR 2008 Kernel Change-point Analysis NeurIPS 2008 Nonparametric Bayesian Learning of Switching Linear Dynamical Systems NeurIPS 2008 Probabilistic detection of short events, with application to critical care monitoring NeurIPS 2008 Search for Additive Nonlinear Time Series Causal Models JMLR 2008