← Methods
Data Science & Analytics › Methods ›

Time Series Analysis

826 directly classified papers

Papers per year

Papers

Exploring Functional Connectivities of the Human Brain using Multivariate Information Analysis NIPS 2009
Non-stationary continuous dynamic Bayesian networks NIPS 2009
White Functionals for Anomaly Detection in Dynamical Systems NIPS 2009
Time-Varying Dynamic Bayesian Networks NIPS 2009
Adaptive Template Matching with Shift-Invariant Semi-NMF NIPS 2008
Search for Additive Nonlinear Time Series Causal Models JMLR 2008
Simple Local Models for Complex Dynamical Systems NIPS 2008
Kernel Change-point Analysis NIPS 2008
Nonparametric Bayesian Learning of Switching Linear Dynamical Systems NIPS 2008
Forecasting Web Page Views: Methods and Observations JMLR 2008
Catching Change-points with Lasso NIPS 2007
Measuring Neural Synchrony by Message Passing NIPS 2007
Bayesian binning beats approximate alternatives: estimating peri-stimulus time histograms NIPS 2007
Augmented Functional Time Series Representation and Forecasting with Gaussian Processes NIPS 2007
Locality and low-dimensions in the prediction of natural experience from fMRI NIPS 2007
Stability Bounds for Non-i.i.d. Processes NIPS 2007
Modelling transcriptional regulation using Gaussian Processes NIPS 2006
Learning Time-Intensity Profiles of Human Activity using Non-Parametric Bayesian Models NIPS 2006
Bayesian Detection of Infrequent Differences in Sets of Time Series with Shared Structure NIPS 2006
Unified Inference for Variational Bayesian Linear Gaussian State-Space Models NIPS 2006
A Kernel Subspace Method by Stochastic Realization for Learning Nonlinear Dynamical Systems NIPS 2006
Aggregating Classification Accuracy across Time: Application to Single Trial EEG NIPS 2006
A recipe for optimizing a time-histogram NIPS 2006
One-Class Novelty Detection for Seizure Analysis from Intracranial EEG JMLR 2006
Expectation Correction for Smoothed Inference in Switching Linear Dynamical Systems JMLR 2006