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Time Series Analysis

832 papers

Papers per year

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64
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Papers

Robust learning of low-dimensional dynamics from large neural ensembles NIPS 2013
Causal Inference on Time Series using Restricted Structural Equation Models NIPS 2013
Gaussian Process Conditional Copulas with Applications to Financial Time Series NIPS 2013
Memory Limited, Streaming PCA NIPS 2013
Multilinear Dynamical Systems for Tensor Time Series NIPS 2013
A Latent Source Model for Nonparametric Time Series Classification NIPS 2013
Statistical analysis of coupled time series with Kernel Cross-Spectral Density operators. NIPS 2013
Locally Adaptive Bayesian Multivariate Time Series NIPS 2013
Sparse Principal Component Analysis for High Dimensional Multivariate Time Series AISTATS 2013
Dynamic Copula Networks for Modeling Real-valued Time Series AISTATS 2013
DYNACARE: Dynamic Cardiac Arrest Risk Estimation AISTATS 2013
Learning Social Infectivity in Sparse Low-rank Networks Using Multi-dimensional Hawkes Processes AISTATS 2013
Online Learning for Time Series Prediction COLT 2013
Sparse Adaptive Dirichlet-Multinomial-like Processes COLT 2013
Event Recognition in Photo Collections with a Stopwatch HMM ICCV 2013
Forecastable Component Analysis ICML 2013
Transition Matrix Estimation in High Dimensional Time Series ICML 2013
Optimally Fuzzy Temporal Memory JMLR 2013
A Binary-Classification-Based Metric between Time-Series Distributions and Its Use in Statistical and Learning Problems JMLR 2013
Locating Changes in Highly Dependent Data with Unknown Number of Change Points NIPS 2012
Patient Risk Stratification for Hospital-Associated C. diff as a Time-Series Classification Task NIPS 2012
Learning High-Density Regions for a Generalized Kolmogorov-Smirnov Test in High-Dimensional Data NIPS 2012
Reducing statistical time-series problems to binary classification NIPS 2012
Adaptive Learning of Smoothing Functions: Application to Electricity Load Forecasting NIPS 2012
Learning Probability Measures with respect to Optimal Transport Metrics NIPS 2012