Bayesian Generalized Nonlinear Models Offer Basis Free SINDy With Model Uncertainty
Fuente:
arXiv
Saved in:
| Main Author: | Hubin, Aliaksandr |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
FBMS: An R Package for Flexible Bayesian Model Selection and Model Averaging
by: Frommlet, Florian, et al.
Published: (2025)
by: Frommlet, Florian, et al.
Published: (2025)
Explainable Bayesian deep learning through input-skip Latent Binary Bayesian Neural Networks
by: Høyheim, Eirik, et al.
Published: (2025)
by: Høyheim, Eirik, et al.
Published: (2025)
Is Causality Necessary for Efficient Portfolios? A Computational Perspective on Predictive Validity and Model Misspecification
by: Dominguez, Alejandro Rodriguez
Published: (2025)
by: Dominguez, Alejandro Rodriguez
Published: (2025)
When to Trust Confidence Thresholding: Calibration Diagnostics for Pseudo-Labelled Regression
by: Kurbucz, Marcell T.
Published: (2026)
by: Kurbucz, Marcell T.
Published: (2026)
Machine Collaboration
by: Liu, Qingfeng, et al.
Published: (2021)
by: Liu, Qingfeng, et al.
Published: (2021)
Higher-Order Equilibrium Tracking for EM-Compressible Online Estimation
by: Li, ZhiMing, et al.
Published: (2026)
by: Li, ZhiMing, et al.
Published: (2026)
Iterative Exploration-Driven Sparse SDP Clustering via Thompson Sampling
by: Mun, Jongmin, et al.
Published: (2025)
by: Mun, Jongmin, et al.
Published: (2025)
Integration of Structural Equation Modeling and Bayesian Networks in the Context of Causal Inference: A Case Study on Personal Positive Youth Development
by: Benitez, Edgar, et al.
Published: (2024)
by: Benitez, Edgar, et al.
Published: (2024)
Artificial intelligence and downscaling global climate model future projections
by: Benestad, Rasmus E.
Published: (2026)
by: Benestad, Rasmus E.
Published: (2026)
Multi-layered model-based characterisation of the local-Universe galaxy data from the GAMA survey
by: Dai, Fan, et al.
Published: (2026)
by: Dai, Fan, et al.
Published: (2026)
Non-Heuristic Selection via Hybrid Regularized and Machine Learning Models for Insurance
by: Galvão, Luciano Ribeiro, et al.
Published: (2025)
by: Galvão, Luciano Ribeiro, et al.
Published: (2025)
A Bayesian Updating Framework for Long-term Multi-Environment Trial Data in Plant Breeding
by: Bark, Stephan, et al.
Published: (2026)
by: Bark, Stephan, et al.
Published: (2026)
From Non-Identifiability to Goal-Integrated Decision-Making in Parametric Inverse Optimization
by: Ahmadi, Farzin, et al.
Published: (2026)
by: Ahmadi, Farzin, et al.
Published: (2026)
A Regression-Based Share Market Prediction Model for Bangladesh
by: Fabiha, Syeda Tasnim, et al.
Published: (2025)
by: Fabiha, Syeda Tasnim, et al.
Published: (2025)
Augmented Functional Random Forests: Classifier Construction and Unbiased Functional Principal Components Importance through Ad-Hoc Conditional Permutations
by: Maturo, Fabrizio, et al.
Published: (2024)
by: Maturo, Fabrizio, et al.
Published: (2024)
SplitWise Regression: Stepwise Modeling with Adaptive Dummy Encoding
by: Kurbucz, Marcell T., et al.
Published: (2025)
by: Kurbucz, Marcell T., et al.
Published: (2025)
Differentially Private Truncation of Unbounded Data via Public Second Moments
by: Cao, Zilong, et al.
Published: (2026)
by: Cao, Zilong, et al.
Published: (2026)
metabeta -- A fast neural model for Bayesian mixed-effects regression
by: Kipnis, Alex, et al.
Published: (2025)
by: Kipnis, Alex, et al.
Published: (2025)
Discovery of Nonlinear Dynamics with Automated Basis Function Generation
by: Basiri, Mohammad Amin, et al.
Published: (2026)
by: Basiri, Mohammad Amin, et al.
Published: (2026)
Asymptotic Consistency and Generalization in Hybrid Models of Regularized Selection and Nonlinear Learning
by: Galvão, Luciano Ribeiro, et al.
Published: (2025)
by: Galvão, Luciano Ribeiro, et al.
Published: (2025)
Optimised Support Vector Regression for California Housing Price Prediction: The Critical Role of Feature Engineering and Hyperparameter Tuning
by: Adutwum, Emmanuel
Published: (2026)
by: Adutwum, Emmanuel
Published: (2026)
Latent characterisation of the complete BATSE gamma ray bursts catalogue using Gaussian mixture of factor analysers and model-estimated overlap-based syncytial clustering
by: Dai, Fan, et al.
Published: (2026)
by: Dai, Fan, et al.
Published: (2026)
Temporal-Aligned Meta-Learning for Risk Management: A Stacking Approach for Multi-Source Credit Scoring
by: Didkovskyi, O., et al.
Published: (2026)
by: Didkovskyi, O., et al.
Published: (2026)
Signature-Kernel Based Evaluation Metrics for Robust Probabilistic and Tail-Event Forecasting
by: Redhead, Benjamin R., et al.
Published: (2026)
by: Redhead, Benjamin R., et al.
Published: (2026)
Calibrated Counterfactual Conformal Fairness ($C^3F$): Post-hoc, Shift-Aware Coverage Parity via Conformal Prediction and Counterfactual Regularization
by: Alpay, Faruk, et al.
Published: (2025)
by: Alpay, Faruk, et al.
Published: (2025)
Nonlinear Fore(Back)casting and Innovation Filtering for Causal-Noncausal VAR Models
by: Gourieroux, Christian, et al.
Published: (2022)
by: Gourieroux, Christian, et al.
Published: (2022)
Quantile Additive Trend Filtering
by: Zhang, Zhi, et al.
Published: (2023)
by: Zhang, Zhi, et al.
Published: (2023)
Model-based Bootstrap of Controlled Markov Chains
by: Su, Ziwei, et al.
Published: (2026)
by: Su, Ziwei, et al.
Published: (2026)
Amortized Variational Inference for Logistic Regression with Missing Covariates
by: Cherifi, M., et al.
Published: (2026)
by: Cherifi, M., et al.
Published: (2026)
When Marginals Match but Structure Fails: Covariance Fidelity in Generative Models
by: Riasat, Nazia
Published: (2026)
by: Riasat, Nazia
Published: (2026)
Long-Term Electricity Demand Prediction Using Non-negative Tensor Factorization and Genetic Algorithm-Driven Temporal Modeling
by: Masaki, Toma, et al.
Published: (2025)
by: Masaki, Toma, et al.
Published: (2025)
Bayesian Modeling of Collatz Stopping Times: A Probabilistic Machine Learning Perspective
by: Bonacorsi, Nicolò, et al.
Published: (2026)
by: Bonacorsi, Nicolò, et al.
Published: (2026)
A Hybrid Mixture of $t$-Factor Analyzers for Clustering High-dimensional Data
by: Kareem, Kazeem, et al.
Published: (2025)
by: Kareem, Kazeem, et al.
Published: (2025)
A Hybrid Mixture Approach for Clustering and Characterizing Cancer Data
by: Kareem, Kazeem, et al.
Published: (2025)
by: Kareem, Kazeem, et al.
Published: (2025)
DeepCausalMMM: A Deep Learning Framework for Marketing Mix Modeling with Causal Structure Learning
by: Tirumala, Aditya Puttaparthi
Published: (2025)
by: Tirumala, Aditya Puttaparthi
Published: (2025)
On the Accuracy of Newton Step and Influence Function Data Attributions
by: Rubinstein, Ittai, et al.
Published: (2025)
by: Rubinstein, Ittai, et al.
Published: (2025)
Robustness Auditing for Linear Regression: To Singularity and Beyond
by: Rubinstein, Ittai, et al.
Published: (2024)
by: Rubinstein, Ittai, et al.
Published: (2024)
Digging deeper: deep joint species distribution modeling reveals environmental drivers of Earthworm Communities
by: Si-moussi, Sara, et al.
Published: (2025)
by: Si-moussi, Sara, et al.
Published: (2025)
Decomposing Discrimination: Causal Mediation Analysis for AI-Driven Credit Decisions
by: Rajamanickam, Duraimurugan
Published: (2026)
by: Rajamanickam, Duraimurugan
Published: (2026)
Scalable Bayesian Clustering for Integrative Analysis of Multi-View Data
by: Cabral, Rafael, et al.
Published: (2024)
by: Cabral, Rafael, et al.
Published: (2024)
Similar Items
-
FBMS: An R Package for Flexible Bayesian Model Selection and Model Averaging
by: Frommlet, Florian, et al.
Published: (2025) -
Explainable Bayesian deep learning through input-skip Latent Binary Bayesian Neural Networks
by: Høyheim, Eirik, et al.
Published: (2025) -
Is Causality Necessary for Efficient Portfolios? A Computational Perspective on Predictive Validity and Model Misspecification
by: Dominguez, Alejandro Rodriguez
Published: (2025) -
When to Trust Confidence Thresholding: Calibration Diagnostics for Pseudo-Labelled Regression
by: Kurbucz, Marcell T.
Published: (2026) -
Machine Collaboration
by: Liu, Qingfeng, et al.
Published: (2021)