SOTAVerified

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 3751–3800 of 6748 papers

TitleStatusHype
The Dynamical Gaussian Process Latent Variable Model in the Longitudinal Scenario—0
Evolutionary Dynamics of Investors Expectations and Market Price Movement—0
The dynamics of the stomatognathic system from 4D multimodal data—0
The Dynamic Triple Gamma Prior as a Shrinkage Process Prior for Time-Varying Parameter Models—0
The Economic Impact of Critical National Infrastructure Failure Due to Space Weather—0
The Effectiveness of Discretization in Forecasting: An Empirical Study on Neural Time Series Models—0
The elastic origins of tail asymmetry—0
The Expressive Power of Gated Recurrent Units as a Continuous Dynamical System—0
The Expressivity and Training of Deep Neural Networks: toward the Edge of Chaos?—0
The Forecasting performance of the Factor model with Martingale Difference errors—0
The fractal time growth of COVID-19 pandemic: an accurate self-similar model, and urgent conclusions—0
The FreshPRINCE: A Simple Transformation Based Pipeline Time Series Classifier—0
The Functional Wiener Filter—0
The Great Time Series Classification Bake Off: An Experimental Evaluation of Recently Proposed Algorithms. Extended Version—0
The Impact of COVID-19 on FinTech Lending in Indonesia: Evidence From Interrupted Time Series Analysis—0
The Importance of Being Correlated: Implications of Dependence in Joint Spectral Inference across Multiple Networks—0
The Influence of Global Constraints on Similarity Measures for Time-Series Databases—0
The Internet of Things as a Deep Neural Network—0
The interpretation of endobronchial ultrasound image using 3D convolutional neural network for differentiating malignant and benign mediastinal lesions—0
The (in)visible hand in the Libor market: an Information Theory approach—0
The Kernel Trick for Nonlinear Factor Modeling—0
The Lifecycle of a Statistical Model: Model Failure Detection, Identification, and Refitting—0
The Local to Unity Dynamic Tobit Model—0
Market-Based Asset Price Probability—0
Market-Based Probability of Stock Returns—0
The market drives ETFs or ETFs the market: causality without Granger—0
The MATLAB Toolbox SciXMiner: User's Manual and Programmer's Guide—0
The maximum entropy mortality model: forecasting mortality using statistical moments Codes—0
The mbsts package: Multivariate Bayesian Structural Time Series Models in R—0
The new face of multifractality: Multi-branchedness and the phase transitions in time series of mean inter-event times—0
Theoretical analysis of deep neural networks for temporally dependent observations—0
Theoretical Analysis of the Optimal Free Responses of Graph-Based SFA for the Design of Training Graphs—0
The Origins of Computational Mechanics: A Brief Intellectual History and Several Clarifications—0
Theory and Algorithms for Forecasting Time Series—0
Theory of Acceleration of Decision Making by Correlated Time Sequences—0
Theory of Evolutionary Spectra for Heteroskedasticity and Autocorrelation Robust Inference in Possibly Misspecified and Nonstationary Models—0
Theory of Low Frequency Contamination from Nonstationarity and Misspecification: Consequences for HAR Inference—0
The Problem of Calibrating an Agent-Based Model of High-Frequency Trading—0
The quantization error in a Self-Organizing Map as a contrast and colour specific indicator of single-pixel change in large random patterns—0
TherapyView: Visualizing Therapy Sessions with Temporal Topic Modeling and AI-Generated Arts—0
The relationship between economic growth and environment. Testing the EKC hypothesis for Latin American countries—0
The relationship between the US broad money supply and US GDP for the time period 2001 to 2019 with that of the corresponding time series for US national property and stock market indices, using an information entropy methodology—0
The Role of Agricultural Sector Productivity in Economic Growth: The Case of Iran's Economic Development Plan—0
The R package sentometrics to compute, aggregate and predict with textual sentiment—0
The search for candidate relevant subsets of variables in complex systems—0
The Segmented iHMM: A Simple, Efficient Hierarchical Infinite HMM—0
The short- and long-term determinants of fertility in Uruguay—0
The SpaceNet Multi-Temporal Urban Development Challenge—0
The Sparse Reverse of Principal Component Analysis for Fast Low-Rank Matrix Completion—0
"The Squawk Bot": Joint Learning of Time Series and Text Data Modalities for Automated Financial Information Filtering—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