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Time Series Analysis

826 directly classified papers

Papers per year

Papers

Multiplicative Forests for Continuous-Time Processes NIPS 2012
Learning High-Density Regions for a Generalized Kolmogorov-Smirnov Test in High-Dimensional Data NIPS 2012
Learning Probability Measures with respect to Optimal Transport Metrics NIPS 2012
Relative Density-Ratio Estimation for Robust Distribution Comparison NIPS 2011
A Model for Temporal Dependencies in Event Streams NIPS 2011
Probabilistic amplitude and frequency demodulation NIPS 2011
Priors over Recurrent Continuous Time Processes NIPS 2011
Variational Gaussian Process Dynamical Systems NIPS 2011
Learning Auto-regressive Models from Sequence and Non-sequence Data NIPS 2011
Selective Prediction of Financial Trends with Hidden Markov Models NIPS 2011
The Stationary Subspace Analysis Toolbox JMLR 2011
Gaussian process modulated renewal processes NIPS 2011
Continuous-Time Regression Models for Longitudinal Networks NIPS 2011
Inference in continuous-time change-point models NIPS 2011
Signal Estimation Under Random Time-Warpings and Nonlinear Signal Alignment NIPS 2011
Learning Networks of Stochastic Differential Equations NIPS 2010
Graphical Gaussian modelling of multivariate time series with latent variables AISTATS 2010
State-Space Inference and Learning with Gaussian Processes AISTATS 2010
Improving Human Judgments by Decontaminating Sequential Dependencies NIPS 2010
Copula Processes NIPS 2010
Auto-Regressive HMM Inference with Incomplete Data for Short-Horizon Wind Forecasting NIPS 2010
Fast detection of multiple change-points shared by many signals using group LARS NIPS 2010
Sparsistent Learning of Varying-coefficient Models with Structural Changes NIPS 2009
Variational Gaussian-process factor analysis for modeling spatio-temporal data NIPS 2009
Canonical Time Warping for Alignment of Human Behavior NIPS 2009