Cover Image

Linguistic Approach to Time Series Forecasting

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lande, Dmytro, Yuzefovych, Volodymyr, Tsybulska, Yevheniia
Format:	Preprint
Published:	2022
Subjects:	Numerical Analysis Discrete Mathematics Statistics Theory Applications Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Zero-Truncated Poisson Regression for Sparse Multiway Count Data Corrupted by False Zeros
by: López, Oscar, et al.
Published: (2022)

Multi-machine preventative maintenance scheduling with imperfect interventions: a restless bandit approach
by: Ruiz-Hernandez, Diego, et al.
Published: (2024)

Optimal Change Point Detection and Inference in the Spectral Density of General Time Series Models
by: Mosaferi, Sepideh, et al.
Published: (2025)

Measure transport with kernel mean embeddings
by: Wang, L., et al.
Published: (2024)

Sequential multiple importance sampling for high-dimensional Bayesian inference
by: Binbin, Li, et al.
Published: (2025)

Proper Scoring Rules for Multivariate Probabilistic Forecasts based on Aggregation and Transformation
by: Pic, Romain, et al.
Published: (2024)

Roughness regularization for functional data analysis with free knots spline estimation
by: De Magistris, Anna, et al.
Published: (2024)

Moving Aggregate Modified Autoregressive Copula-Based Time Series Models (MAGMAR-Copulas)
by: Pappert, Sven
Published: (2024)

Binary Weight Allocation for Multi-Objective Path Optimization: Efficient Earliest and Latest Path Discovery in Network Systems
by: Yeh, Wei-Chang
Published: (2025)

On Statistical Inference for High-Dimensional Binary Time Series
by: Dai, Dehao, et al.
Published: (2025)

Forster-Warmuth Counterfactual Regression: A Unified Learning Approach
by: Yang, Yachong, et al.
Published: (2023)

Bernstein Polynomial Processes for Continuous Time Change Detection
by: Cunha, Dan, et al.
Published: (2025)

Nonparametric estimation of homogenized invariant measures from multiscale data via Hermite expansion
by: Borodavka, Jaroslav I., et al.
Published: (2025)

Centrality Change Proneness: an Early Indicator of Microservice Architectural Degradation
by: Bakhtin, Alexander, et al.
Published: (2025)

Nonlinear fourth order Taylor expansion of lattice Boltzmann schemes
by: Dubois, François
Published: (2019)

Control of probability flow in Markov chain Monte Carlo -- Nonreversibility and lifting
by: Suwa, Hidemaro, et al.
Published: (2012)

A statistical test for network similarity
by: Miasnikof, Pierre, et al.
Published: (2025)

Non-Asymptotic Analysis of Ensemble Kalman Updates: Effective Dimension and Localization
by: Ghattas, Omar Al, et al.
Published: (2022)

Stein transport for Bayesian inference
by: Nüsken, Nikolas
Published: (2024)

Tensor Methods in High Dimensional Data Analysis: Opportunities and Challenges
by: Auddy, Arnab, et al.
Published: (2024)

Quadratic Point Estimate Method for Probabilistic Moments Computation
by: Ko, Minhyeok, et al.
Published: (2024)

Revisit CP Tensor Decomposition: Statistical Optimality and Fast Convergence
by: Tang, Runshi, et al.
Published: (2025)

High-order Accurate Inference on Manifolds
by: Huang, Chengzhu, et al.
Published: (2025)

Mode-wise Principal Subspace Pursuit and Matrix Spiked Covariance Model
by: Tang, Runshi, et al.
Published: (2023)

Group-Sparse Smoothing for Longitudinal Models with Time-Varying Coefficients
by: Lu, Yu, et al.
Published: (2026)

Wavelet-SARIMA-Transformer: A Hybrid Model for Rainfall Forecasting
by: Saikia, Junmoni, et al.
Published: (2025)

Computation of Optimal Type-II Progressing Censoring Scheme Using Genetic Algorithm Approach
by: Roy, Ujjwal, et al.
Published: (2025)

A novel statistical approach for two-sample testing based on the overlap coefficient
by: Komaba, Atsushi, et al.
Published: (2022)

Robust Survival Estimation under Interval Censoring: Expectation-Maximization and Bayesian Accelerated Failure Time Assessment via Simulation and Application
by: Korley, J. T.
Published: (2025)

Proposal for the Application of Fractional Operators in Polynomial Regression Models to Enhance the Determination Coefficient $R^2$ on Unseen Data
by: Torres-Hernandez, Anthony
Published: (2025)

The SPDE approach for spatio-temporal datasets with advection and diffusion
by: Clarotto, Lucia, et al.
Published: (2022)

Vaccine efficacy for binary post-infection outcomes under misclassification without monotonicity
by: Trangucci, Rob, et al.
Published: (2022)

Comparing two spatial variables with the probability of agreement
by: Acosta, Jonathan, et al.
Published: (2022)

Estimation of Over-parameterized Models from an Auto-Modeling Perspective
by: Jiang, Yiran, et al.
Published: (2022)

Estimators of different delta coefficients based on the unbiased estimator of the expected proportions of agreements
by: Andrés, A. Martín, et al.
Published: (2026)

On self-training of summary data with genetic applications
by: Su, Buxin, et al.
Published: (2025)

Adaptive Projected Two-Sample Comparisons for Single-Cell Gene Expression Data
by: Zhang, Tianyu, et al.
Published: (2024)

A Kullback-Leibler divergence test for multivariate extremes: theory and practice
by: Engelke, Sebastian, et al.
Published: (2026)

Cluster Size Matters: A Comparative Study of Notip and pARI for Post Hoc Inference in fMRI
by: Peyrouset, Nils, et al.
Published: (2025)

Estimation and model errors in Gaussian-process-based Sensitivity Analysis of functional outputs
by: Sáo, Yuri Taglieri, et al.
Published: (2025)