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Time Series Analysis

Time Series Analysis is a statistical technique used to analyze and model time-based data. It is used in various fields such as finance, economics, and engineering to analyze patterns and trends in data over time. The goal of time series analysis is to identify the underlying patterns, trends, and seasonality in the data, and to use this information to make informed predictions about future values.

( Image credit: Autoregressive CNNs for Asynchronous Time Series )

Papers

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Showing 6501–6550 of 6748 papers

TitleStatusHype
Estimating the causal effect of an intervention in a time series setting: the C-ARIMA approach—0
Estimating Time-varying Brain Connectivity Networks from Functional MRI Time Series—0
Estimating Treatment Effects in Continuous Time with Hidden Confounders—0
Estimating Treatment Effects from Irregular Time Series Observations with Hidden Confounders—0
Estimating value at risk: LSTM vs. GARCH—0
Estimation and Quantization of Expected Persistence Diagrams—0
Estimation of Correlation Matrices from Limited time series Data using Machine Learning—0
Estimation of Cross-Sectional Dependence in Large Panels—0
Estimation of Evaporator Valve Sizes in Supermarket Refrigeration Cabinets—0
Estimation of High-Dimensional Markov-Switching VAR Models with an Approximate EM Algorithm—0
Estimation of multivariate asymmetric power GARCH models—0
Estimation of Sea State Parameters from Ship Motion Responses Using Attention-based Neural Networks—0
Estimation of Shade Losses in Unlabeled PV Data—0
Estimation of the mortality rate functions from time series field data in a stage-structured demographic model for Lobesia botrana—0
Ethereum Price Prediction Employing Large Language Models for Short-term and Few-shot Forecasting—0
EuroCrops: A Pan-European Dataset for Time Series Crop Type Classification—0
Evaluating aleatoric and epistemic uncertainties of time series deep learning models for soil moisture predictions—0
Evaluating conditional covariance estimates via a new targeting approach and a networks-based analysis—0
Evaluating Contrastive Learning on Wearable Timeseries for Downstream Clinical Outcomes—0
Evaluating genetic drift in time-series evolutionary analysis—0
Evaluating Hebbian Self-Organizing Memories for Lexical Representation and Access—0
Evaluating Large Language Models on Time Series Feature Understanding: A Comprehensive Taxonomy and Benchmark—0
Evaluating Machine Learning Models for the Fast Identification of Contingency Cases—0
Evaluating Preprocessing Strategies for Time Series Prediction Using Deep Learning Architectures—0
Evaluating State of the Art, Forecasting Ensembles- and Meta-learning Strategies for Model Fusion—0
Evaluating the Performance of ANN Prediction System at Shanghai Stock Market in the Period 21-Sep-2016 to 11-Oct-2016—0
Evaluating the Robustness of Time Series Anomaly and Intrusion Detection Methods against Adversarial Attacks—0
Evaluation and Ensembling of Methods for Reverse Engineering of Brain Connectivity from Imaging Data—0
Evaluation of Energy Resilience and Cost Benefit in Microgrid with Peer-to-Peer Energy Trading—0
Evaluation of Entropy and Fractal Dimension as Biomarkers for Tumor Growth and Treatment Response using Cellular Automata—0
Evaluation of Local Explanation Methods for Multivariate Time Series Forecasting—0
Evaluation of Spectral Learning for the Identification of Hidden Markov Models—0
Evaluation of Temporal Complexity Reduction Techniques Applied to Storage Expansion Planning in Power System Models—0
Evaluation of Three Deep Learning Models for Early Crop Classification Using Sentinel-1A Imagery Time Series—A Case Study in Zhanjiang, China—0
Evaluation of Time Series Forecasting Models for Estimation of PM2.5 Levels in Air—0
Towards Automatic Forecasting: Evaluation of Time-Series Forecasting Models for Chickenpox Cases Estimation in Hungary—0
Event2Graph: Event-driven Bipartite Graph for Multivariate Time-series Anomaly Detection—0
Evidence and Behaviour of Support and Resistance Levels in Financial Time Series—0
Evidence of disorientation towards immunization on online social media after contrasting political communication on vaccines. Results from an analysis of Twitter data in Italy—0
Evidence of Self-Organization in Time Series of Capital Markets—0
Evidentially Calibrated Source-Free Time-Series Domain Adaptation with Temporal Imputation—0
Evolutionary correlation, regime switching, spectral dynamics and optimal trading strategies for cryptocurrencies and equities—0
Evolutionary Ensemble Learning for Multivariate Time Series Prediction—0
Integrating Fréchet distance and AI reveals the evolutionary trajectory and origin of SARS-CoV-2—0
Evolution of Covariance Functions for Gaussian Process Regression using Genetic Programming—0
Evolution of Hierarchical Structure & Reuse in iGEM Synthetic DNA Sequences—0
Evolving Gaussian Process kernels from elementary mathematical expressions—0
EvoSTS Forecasting: Evolutionary Sparse Time-Series Forecasting—0
Exact and Robust Conformal Inference Methods for Predictive Machine Learning With Dependent Data—0
Exact Bayesian inference for off-line change-point detection in tree-structured graphical models—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1naive classifierF187.47—Unverified
2GRU-D - APC (n = 1)F127.3—Unverified
3GRU-APC (n = 1)F125.7—Unverified
4GRU-DF122.5—Unverified
5GRUF122.3—Unverified
6GRU-SimpleF122.2—Unverified
7GRU-MeanF122.1—Unverified
#ModelMetricClaimedVerifiedStatus
1SepTr% Test Accuracy98.51—Unverified
2ViT% Test Accuracy98.11—Unverified
3FlexTCN-4% Test Accuracy97.73—Unverified
4MatchboxNet% Test Accuracy97.4—Unverified
5CKCNN (100k)% Test Accuracy95.27—Unverified
6FlexTCN-6% Test Accuracy (Raw Data)91.73—Unverified
#ModelMetricClaimedVerifiedStatus
1ResBiLSTMMAE0.13—Unverified