Time Series Analysis

Simple Local Models for Complex Dynamical Systems NeurIPS 2008 Augmented Functional Time Series Representation and Forecasting with Gaussian Processes NeurIPS 2007 Bayesian binning beats approximate alternatives: estimating peri-stimulus time histograms NeurIPS 2007 Catching Change-points with Lasso NeurIPS 2007 Locality and low-dimensions in the prediction of natural experience from fMRI NeurIPS 2007 Measuring Neural Synchrony by Message Passing NeurIPS 2007 Stability Bounds for Non-i.i.d. Processes NeurIPS 2007 Aggregating Classification Accuracy across Time: Application to Single Trial EEG NeurIPS 2006 A Kernel Subspace Method by Stochastic Realization for Learning Nonlinear Dynamical Systems NeurIPS 2006 A recipe for optimizing a time-histogram NeurIPS 2006 Bayesian Detection of Infrequent Differences in Sets of Time Series with Shared Structure NeurIPS 2006 Expectation Correction for Smoothed Inference in Switching Linear Dynamical Systems JMLR 2006 Learning Time-Intensity Profiles of Human Activity using Non-Parametric Bayesian Models NeurIPS 2006 Modelling transcriptional regulation using Gaussian Processes NeurIPS 2006 One-Class Novelty Detection for Seizure Analysis from Intracranial EEG JMLR 2006 Unified Inference for Variational Bayesian Linear Gaussian State-Space Models NeurIPS 2006 What's Strange About Recent Events (WSARE): An Algorithm for the Early Detection of Disease Outbreaks JMLR 2005