A Gaussian Sliding Windows Regression Model for Hydrological Inference
Fuente:
arXiv
Saved in:
| Main Authors: | Schrunner, Stefan, Pishrobat, Parham, Janssen, Joseph, Jenul, Anna, Cao, Jiguo, Ameli, Ali A., Welch, William J. |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Learning from limited temporal data: Dynamically sparse historical functional linear models with applications to Earth science
by: Janssen, Joseph, et al.
Published: (2023)
by: Janssen, Joseph, et al.
Published: (2023)
Learning From Limited Temporal Data: Dynamically Sparse Historical Functional Linear Models With Applications to Earth Science
by: Joseph Janssen, et al.
Published: (2025)
by: Joseph Janssen, et al.
Published: (2025)
Similarity-Informed Transfer Learning for Multivariate Functional Censored Quantile Regression
by: Liu, Hua, et al.
Published: (2025)
by: Liu, Hua, et al.
Published: (2025)
Locally sparse estimation for simultaneous functional quantile regression
by: Hu, Boyi, et al.
Published: (2026)
by: Hu, Boyi, et al.
Published: (2026)
Functional Adaptive Double-Sparsity Estimator for Functional Linear Regression Model with Multiple Functional Covariates
by: Cao, Cheng, et al.
Published: (2023)
by: Cao, Cheng, et al.
Published: (2023)
Generalized Bayesian Multidimensional Scaling and Model Comparison
by: Zhang, Jiarui, et al.
Published: (2023)
by: Zhang, Jiarui, et al.
Published: (2023)
Robust Bayesian Functional Principal Component Analysis
by: Zhang, Jiarui, et al.
Published: (2023)
by: Zhang, Jiarui, et al.
Published: (2023)
Sliding-Window Signatures for Time Series: Application to Electricity Demand Forecasting
by: Drobac, Nina, et al.
Published: (2025)
by: Drobac, Nina, et al.
Published: (2025)
Estimation of Functional Principal Components from Sparse Functional Data
by: Mbaka, Uche, et al.
Published: (2026)
by: Mbaka, Uche, et al.
Published: (2026)
Statistical Inference on High Dimensional Gaussian Graphical Regression Models
by: Meng, Xuran, et al.
Published: (2024)
by: Meng, Xuran, et al.
Published: (2024)
Online Functional Principal Component Analysis on a Multidimensional Domain
by: Nanshan, Muye, et al.
Published: (2025)
by: Nanshan, Muye, et al.
Published: (2025)
Convolution-smoothing based locally sparse estimation for functional quantile regression
by: Liu, Hua, et al.
Published: (2025)
by: Liu, Hua, et al.
Published: (2025)
Bayesian Inference for Stationary Points in Gaussian Process Regression Models for Event-Related Potentials Analysis
by: Yu, Cheng-Han, et al.
Published: (2020)
by: Yu, Cheng-Han, et al.
Published: (2020)
PLRD: Partially Linear Regression Discontinuity Inference
by: Ghosh, Aditya, et al.
Published: (2025)
by: Ghosh, Aditya, et al.
Published: (2025)
An Efficient Two-Dimensional Functional Mixed-Effect Model Framework for Repeatedly Measured Functional Data
by: Cao, Cheng, et al.
Published: (2024)
by: Cao, Cheng, et al.
Published: (2024)
GLM Inference with AI-Generated Synthetic Data Using Misspecified Linear Regression
by: Keret, Nir, et al.
Published: (2025)
by: Keret, Nir, et al.
Published: (2025)
Two Sample Testing for High-dimensional Functional Data: A Multi-resolution Projection Method
by: Wang, Shouxia, et al.
Published: (2025)
by: Wang, Shouxia, et al.
Published: (2025)
Differentially Private Bayesian Inference for Gaussian Copula Correlations
by: Wang, Shuo, et al.
Published: (2026)
by: Wang, Shuo, et al.
Published: (2026)
Inference for Fréchet Regression
by: Song, Wookyeong, et al.
Published: (2026)
by: Song, Wookyeong, et al.
Published: (2026)
Regression-Based Proximal Causal Inference
by: Liu, Jiewen, et al.
Published: (2024)
by: Liu, Jiewen, et al.
Published: (2024)
Scalable Gaussian Process Regression Via Median Posterior Inference for Estimating Multi-Pollutant Mixture Health Effects
by: Sonabend, Aaron, et al.
Published: (2024)
by: Sonabend, Aaron, et al.
Published: (2024)
Statistical Inference for Four-Regime Segmented Regression Models
by: Yan, Han, et al.
Published: (2024)
by: Yan, Han, et al.
Published: (2024)
Inference for Log-Gaussian Cox Point Processes using Bayesian Deep Learning: Application to Human Oral Microbiome Image Data
by: Wang, Shuwan, et al.
Published: (2025)
by: Wang, Shuwan, et al.
Published: (2025)
Inference with Randomized Regression Trees
by: Bakshi, Soham, et al.
Published: (2024)
by: Bakshi, Soham, et al.
Published: (2024)
Semiparametric Inference for Regression-Discontinuity Designs
by: Jiang, Weiwei, et al.
Published: (2024)
by: Jiang, Weiwei, et al.
Published: (2024)
Functional Gaussian Graphical Regression Models For Air Quality Data
by: Fici, Rita, et al.
Published: (2024)
by: Fici, Rita, et al.
Published: (2024)
Post-selection Inference in Regression Models for Group Testing Data
by: Shen, Qinyan, et al.
Published: (2025)
by: Shen, Qinyan, et al.
Published: (2025)
Gaussian Transforms Modeling and the Estimation of Distributional Regression Functions
by: Spady, Richard, et al.
Published: (2020)
by: Spady, Richard, et al.
Published: (2020)
Bayesian Bridge Gaussian Process Regression
by: Xu, Minshen, et al.
Published: (2025)
by: Xu, Minshen, et al.
Published: (2025)
Accurate Inference for Penalized Logistic Regression
by: Zhang, Yuming, et al.
Published: (2024)
by: Zhang, Yuming, et al.
Published: (2024)
Data Sketching and Stacking: A Confluence of Two Strategies for Predictive Inference in Gaussian Process Regressions with High-Dimensional Features
by: Gailliot, Samuel, et al.
Published: (2024)
by: Gailliot, Samuel, et al.
Published: (2024)
Parameter Estimation and Inference in a Continuous Piecewise Linear Regression Model
by: Hahn, Georg, et al.
Published: (2025)
by: Hahn, Georg, et al.
Published: (2025)
A Semiparametric Gaussian Mixture Model with Spatial Dependence and Its Application to Whole-Slide Image Clustering Analysis
by: Yu, Baichen, et al.
Published: (2025)
by: Yu, Baichen, et al.
Published: (2025)
Linear Regression: Inference Based on Cluster Estimates
by: Dey, Subhodeep, et al.
Published: (2026)
by: Dey, Subhodeep, et al.
Published: (2026)
Enhancing the Power of Gaussian Graphical Model Inference by Modeling the Graph Structure
by: Kilian, Valentin, et al.
Published: (2024)
by: Kilian, Valentin, et al.
Published: (2024)
Wrapped Gaussian Process Functional Regression Model for Batch Data on Riemannian Manifolds
by: Liu, Jinzhao, et al.
Published: (2024)
by: Liu, Jinzhao, et al.
Published: (2024)
Possibilistic Inferential Models for Post-Selection Inference in High-Dimensional Linear Regression
by: Lin, Yaohui
Published: (2025)
by: Lin, Yaohui
Published: (2025)
Correlated Bayesian Additive Regression Trees with Gaussian Process for Regression Analysis of Dependent Data
by: a, Xuetao Lu, et al.
Published: (2023)
by: a, Xuetao Lu, et al.
Published: (2023)
Constrained Fiducial Inference for Gaussian Models
by: Flury, Hank, et al.
Published: (2026)
by: Flury, Hank, et al.
Published: (2026)
Variational Inference for Sparse Poisson Regression
by: Kharabati, Mitra, et al.
Published: (2023)
by: Kharabati, Mitra, et al.
Published: (2023)
Similar Items
-
Learning from limited temporal data: Dynamically sparse historical functional linear models with applications to Earth science
by: Janssen, Joseph, et al.
Published: (2023) -
Learning From Limited Temporal Data: Dynamically Sparse Historical Functional Linear Models With Applications to Earth Science
by: Joseph Janssen, et al.
Published: (2025) -
Similarity-Informed Transfer Learning for Multivariate Functional Censored Quantile Regression
by: Liu, Hua, et al.
Published: (2025) -
Locally sparse estimation for simultaneous functional quantile regression
by: Hu, Boyi, et al.
Published: (2026) -
Functional Adaptive Double-Sparsity Estimator for Functional Linear Regression Model with Multiple Functional Covariates
by: Cao, Cheng, et al.
Published: (2023)