A Novel Hybrid Approach for Time Series Forecasting: Period Estimation and Climate Data Analysis Using Unsupervised Learning and Spline Interpolation
Fuente:
arXiv
Saved in:
| Main Authors: | Kayal, Tanmay, Das, Abhishek, Saranya, U |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Hamiltonian Monte Carlo methods for spectroscopy data analysis
by: McBride, Daniel, et al.
Published: (2024)
by: McBride, Daniel, et al.
Published: (2024)
Error Bounds for Importance Sampling with Estimated Proposal Distributions
by: Aeckerle-Willems, Cathrine, et al.
Published: (2026)
by: Aeckerle-Willems, Cathrine, et al.
Published: (2026)
Quick and Simple Kernel Differential Equation Regression Estimators for Data with Sparse Design
by: Ge, Chunlei, et al.
Published: (2024)
by: Ge, Chunlei, et al.
Published: (2024)
Forecasting Elections from Partial Information Using a Bayesian Model for a Multinomial Sequence of Data
by: Deb, Soudeep, et al.
Published: (2021)
by: Deb, Soudeep, et al.
Published: (2021)
Club coefficients in the UEFA Champions League: Time for shift to an Elo-based formula
by: Csató, László
Published: (2023)
by: Csató, László
Published: (2023)
Penalized KLIC Model Selection for the Generalized Method of Moments in Longitudinal Data with Time-Dependent Covariates
by: Hasan, Mahmud, et al.
Published: (2026)
by: Hasan, Mahmud, et al.
Published: (2026)
Estimation of Spatial and Temporal Autoregressive Effects using LASSO - An Example of Hourly Particulate Matter Concentrations
by: Nyabuto, Elkanah, et al.
Published: (2025)
by: Nyabuto, Elkanah, et al.
Published: (2025)
Application of Multivariate Selective Bandwidth Kernel Density Estimation for Data Correction
by: Bui, Hai, et al.
Published: (2023)
by: Bui, Hai, et al.
Published: (2023)
A Distributions-based Approach for Data-Consistent Inversion
by: Bergstrom, Kirana, et al.
Published: (2024)
by: Bergstrom, Kirana, et al.
Published: (2024)
Interpretable contour level selection for heat maps for gridded data
by: Duong, Tarn
Published: (2025)
by: Duong, Tarn
Published: (2025)
Comparative analysis of two new wind speed T-X models using Weibull and log-logistic distributions for wind energy potential estimation in Tabriz, Iran
by: Mohammadpour, Meysam, et al.
Published: (2024)
by: Mohammadpour, Meysam, et al.
Published: (2024)
A new sparsity promoting residual transform operator for Lasso regression
by: Xiao, Yao, et al.
Published: (2025)
by: Xiao, Yao, et al.
Published: (2025)
Bayesian Additive Regression Trees (BART) in Food Authenticity: A Classification Approach to Food Fraud Detection
by: Zhu, Mengxiang, et al.
Published: (2025)
by: Zhu, Mengxiang, et al.
Published: (2025)
Statistical visualisation for tidy and geospatial data in R via kernel smoothing methods in the eks package
by: Duong, Tarn
Published: (2022)
by: Duong, Tarn
Published: (2022)
An energy-based deep splitting method for the nonlinear filtering problem
by: Bågmark, Kasper, et al.
Published: (2022)
by: Bågmark, Kasper, et al.
Published: (2022)
TSSS: A Novel Triangulated Spherical Spline Smoothing for Surface-based Data
by: Gu, Zhiling, et al.
Published: (2024)
by: Gu, Zhiling, et al.
Published: (2024)
Amortized Energy-Based Bayesian Inference
by: Kaveh, Hojjat, et al.
Published: (2026)
by: Kaveh, Hojjat, et al.
Published: (2026)
A Versatility Measure for Parametric Risk Models
by: Powers, Michael R., et al.
Published: (2024)
by: Powers, Michael R., et al.
Published: (2024)
A Weibull Mixture Cure Frailty Model for High-dimensional Covariates
by: Kızılaslan, Fatih, et al.
Published: (2024)
by: Kızılaslan, Fatih, et al.
Published: (2024)
Multivariate Low-Rank State-Space Model with SPDE Approach for High-Dimensional Data
by: Rodeschini, Jacopo, et al.
Published: (2025)
by: Rodeschini, Jacopo, et al.
Published: (2025)
Solving the inverse source problem of the fractional Poisson equation by MC-fPINNs
by: Sheng, Rui, et al.
Published: (2024)
by: Sheng, Rui, et al.
Published: (2024)
Density estimation via periodic scaled Korobov kernel method with exponential decay condition
by: Ye, Ziyang, et al.
Published: (2025)
by: Ye, Ziyang, et al.
Published: (2025)
Splinets -- splines through the Taylor expansion, their support sets and orthogonal bases
by: Podgórski, Krzysztof
Published: (2021)
by: Podgórski, Krzysztof
Published: (2021)
PROXIMA: A Reliability Scoring Framework for Proxy Metrics in Online Controlled Experiments
by: Amudala, Avinash
Published: (2026)
by: Amudala, Avinash
Published: (2026)
Confidence Intervals for Conditional Covariances of Natural Frequencies
by: Neumann, Lizzie, et al.
Published: (2025)
by: Neumann, Lizzie, et al.
Published: (2025)
Why decision curves go above or below treat-all and treat-none: a PPV- and calibration-based guide for clinical prediction models
by: Hoessly, Linard
Published: (2026)
by: Hoessly, Linard
Published: (2026)
High-dimensional Bayesian filtering through deep density approximation
by: Bågmark, Kasper, et al.
Published: (2025)
by: Bågmark, Kasper, et al.
Published: (2025)
Nonlinear filtering based on density approximation and deep BSDE prediction
by: Bågmark, Kasper, et al.
Published: (2025)
by: Bågmark, Kasper, et al.
Published: (2025)
Kernel Density Estimation and Convolution Revisited
by: Tenkorang, Nicholas, et al.
Published: (2025)
by: Tenkorang, Nicholas, et al.
Published: (2025)
ICS for complex data with application to outlier detection for density data
by: Mondon, Camille, et al.
Published: (2025)
by: Mondon, Camille, et al.
Published: (2025)
Variance-Reduced Manifold Sampling via Polynomial-Maximization Density Estimation
by: Zabolotnii, Serhii
Published: (2026)
by: Zabolotnii, Serhii
Published: (2026)
Simultaneous Estimation of Piecewise Constant Coefficients in Elliptic PDEs via Bayesian Level-Set Methods
by: Abhishek, Anuj, et al.
Published: (2024)
by: Abhishek, Anuj, et al.
Published: (2024)
Sequential Federated Analysis of Early Outbreak Data Applied to Incubation Period Estimation
by: Busch-Moreno, Simon, et al.
Published: (2024)
by: Busch-Moreno, Simon, et al.
Published: (2024)
Tweedie-based nonparametric estimation for semicontinuous mixed densities
by: Lyu, Guanjie, et al.
Published: (2026)
by: Lyu, Guanjie, et al.
Published: (2026)
Adaptive joint distribution learning
by: Filipovic, Damir, et al.
Published: (2021)
by: Filipovic, Damir, et al.
Published: (2021)
A convergent scheme for the Bayesian filtering problem based on the Fokker--Planck equation and deep splitting
by: Bågmark, Kasper, et al.
Published: (2024)
by: Bågmark, Kasper, et al.
Published: (2024)
Improved estimators in Bell regression model with application
by: Seifollahi, Solmaz, et al.
Published: (2024)
by: Seifollahi, Solmaz, et al.
Published: (2024)
Strategic Play and Home Advantage: Coaches' Tactical Impact in Serie A
by: Angelini, Francesco, et al.
Published: (2025)
by: Angelini, Francesco, et al.
Published: (2025)
Selection and Collider Restriction Bias Due to Predictor Availability in Prognostic Models
by: Delord, Marc
Published: (2026)
by: Delord, Marc
Published: (2026)
Efficient Data Reduction Via PCA-Guided Quantile Based Sampling
by: Hui-Mean, Foo, et al.
Published: (2026)
by: Hui-Mean, Foo, et al.
Published: (2026)
Similar Items
-
Hamiltonian Monte Carlo methods for spectroscopy data analysis
by: McBride, Daniel, et al.
Published: (2024) -
Error Bounds for Importance Sampling with Estimated Proposal Distributions
by: Aeckerle-Willems, Cathrine, et al.
Published: (2026) -
Quick and Simple Kernel Differential Equation Regression Estimators for Data with Sparse Design
by: Ge, Chunlei, et al.
Published: (2024) -
Forecasting Elections from Partial Information Using a Bayesian Model for a Multinomial Sequence of Data
by: Deb, Soudeep, et al.
Published: (2021) -
Club coefficients in the UEFA Champions League: Time for shift to an Elo-based formula
by: Csató, László
Published: (2023)