Explainable Linear and Generalized Linear Models by the Predictions Plot
Fuente:
arXiv
Saved in:
| Main Author: | Rousseeuw, Peter J. |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
The bixplot: A variation on the boxplot suited for bimodal data
by: Montalcini, Camille M., et al.
Published: (2025)
by: Montalcini, Camille M., et al.
Published: (2025)
Random Effects Misspecification and its Consequences for Prediction in Generalized Linear Mixed Models
by: Vu, Quan, et al.
Published: (2024)
by: Vu, Quan, et al.
Published: (2024)
Spatiotemporal Modeling and Forecasting at Scale with Dynamic Generalized Linear Models
by: Pherwani, Pranay, et al.
Published: (2024)
by: Pherwani, Pranay, et al.
Published: (2024)
Linear Model and Extensions
by: Ding, Peng
Published: (2024)
by: Ding, Peng
Published: (2024)
Gradient-Boosted Generalized Linear Models for Conditional Vine Copulas
by: Jobst, David, et al.
Published: (2024)
by: Jobst, David, et al.
Published: (2024)
Stochastic Search Variable Selection for Bayesian Generalized Linear Mixed Effect Models
by: Ding, Feng, et al.
Published: (2024)
by: Ding, Feng, et al.
Published: (2024)
Variable Selection in Functional Linear Cox Model
by: Yue, Yuanzhen, et al.
Published: (2025)
by: Yue, Yuanzhen, et al.
Published: (2025)
Prior Elicitation for Generalised Linear Models and Extensions
by: Hosack, Geoffrey R.
Published: (2023)
by: Hosack, Geoffrey R.
Published: (2023)
lmw: Linear Model Weights for Causal Inference
by: Chattopadhyay, Ambarish, et al.
Published: (2023)
by: Chattopadhyay, Ambarish, et al.
Published: (2023)
Variational Inference for Fully Bayesian Hierarchical Linear Models
by: Parra-Aldana, Cristian, et al.
Published: (2025)
by: Parra-Aldana, Cristian, et al.
Published: (2025)
Estimation of Linear models from Coarsened Observations Estimation of Linear models Estimation from Coarsened Observations A Method of Moments Approach
by: van Praag, Bernard M. S., et al.
Published: (2025)
by: van Praag, Bernard M. S., et al.
Published: (2025)
Predicting Distributions of Physical Activity Profiles in the NHANES Database Using a Partially Linear Fréchet Single Index Model
by: Matabuena, Marcos, et al.
Published: (2023)
by: Matabuena, Marcos, et al.
Published: (2023)
Fiducial Confidence Intervals for Agreement Measures Among Raters Under a Generalized Linear Mixed Effects Model
by: Sahu, Soumya, et al.
Published: (2025)
by: Sahu, Soumya, et al.
Published: (2025)
Inference for Heterogeneous Graphical Models using Doubly High-Dimensional Linear-Mixed Models
by: Yue, Kun, et al.
Published: (2024)
by: Yue, Kun, et al.
Published: (2024)
Identifying Neural Connectivity using Bernoulli Autoregressive Partially Linear Additive Models
by: Pinkney, Carla, et al.
Published: (2025)
by: Pinkney, Carla, et al.
Published: (2025)
Granger Causality for Mixed Time Series Generalized Linear Models: A Case Study on Multimodal Brain Connectivity
by: Piancastelli, Luiza S. C., et al.
Published: (2024)
by: Piancastelli, Luiza S. C., et al.
Published: (2024)
Prioritizing Variables for Observational Study Design using the Joint Variable Importance Plot
by: Liao, Lauren D., et al.
Published: (2023)
by: Liao, Lauren D., et al.
Published: (2023)
Compounded Linear Failure Rate Distribution: Properties, Simulation and Analysis
by: Das, Suchismita, et al.
Published: (2026)
by: Das, Suchismita, et al.
Published: (2026)
Beyond Linearity and Time-Homogeneity: Relational Hyper Event Models with Time-Varying Non-Linear Effects
by: Boschi, Martina, et al.
Published: (2025)
by: Boschi, Martina, et al.
Published: (2025)
Population Size Estimation with Many Lists and Heterogeneity: A Conditional Log-Linear Model Among the Unobserved
by: Rubio, Mateo Dulce, et al.
Published: (2024)
by: Rubio, Mateo Dulce, et al.
Published: (2024)
Assessing Climate-Driven Mortality Risk: A Stochastic Approach with Distributed Lag Non-Linear Models
by: Min, Jiacheng, et al.
Published: (2025)
by: Min, Jiacheng, et al.
Published: (2025)
A Unified Framework for Multiple Exposure Distributed Lag Non-Linear Models for Air Pollution Epidemiology
by: Pan, Tianyi, et al.
Published: (2026)
by: Pan, Tianyi, et al.
Published: (2026)
An Exponential-Polynomial Divergence-based Robust Information Criterion for Linear Panel Data Models and Neural Networks
by: Goswami, Udita, et al.
Published: (2026)
by: Goswami, Udita, et al.
Published: (2026)
Testing Inequalities Linear in Nuisance Parameters
by: Cox, Gregory Fletcher, et al.
Published: (2025)
by: Cox, Gregory Fletcher, et al.
Published: (2025)
Heterogeneous Transfer Learning for Building High-Dimensional Generalized Linear Models with Disparate Datasets
by: Zhao, Ruzhang, et al.
Published: (2023)
by: Zhao, Ruzhang, et al.
Published: (2023)
Clustering Hierarchies via a Semi-Parametric Generalized Linear Mixed Model: a statistical significance-based approach
by: Ragni, Alessandra, et al.
Published: (2023)
by: Ragni, Alessandra, et al.
Published: (2023)
Bayesian Modeling and Prediction of Generalized Contact Matrices
by: Dan, Shozen, et al.
Published: (2026)
by: Dan, Shozen, et al.
Published: (2026)
Optimal Sampling for Generalized Linear Model under Measurement Constraint with Surrogate Variables
by: Shen, Yixin, et al.
Published: (2025)
by: Shen, Yixin, et al.
Published: (2025)
SynthTree: Co-supervised Local Model Synthesis for Explainable Prediction
by: Kuriabov, Evgenii, et al.
Published: (2024)
by: Kuriabov, Evgenii, et al.
Published: (2024)
Scalable Inference for Bayesian Multinomial Logistic-Normal Dynamic Linear Models
by: Saxena, Manan, et al.
Published: (2024)
by: Saxena, Manan, et al.
Published: (2024)
Robust Inference for Non-Linear Regression Models with Applications in Enzyme Kinetics
by: Jana, Suryasis, et al.
Published: (2024)
by: Jana, Suryasis, et al.
Published: (2024)
Adaptive Bi-Level Variable Selection of Conditional Main Effects for Generalized Linear Models
by: Xie, Kexin, et al.
Published: (2026)
by: Xie, Kexin, et al.
Published: (2026)
Prediction Inference Using Generalized Functional Mixed Effects Models
by: Zhou, Xinkai, et al.
Published: (2025)
by: Zhou, Xinkai, et al.
Published: (2025)
Forecast Linear Augmented Projection (FLAP): A free lunch to reduce forecast error variance
by: Yang, Yangzhuoran Fin, et al.
Published: (2024)
by: Yang, Yangzhuoran Fin, et al.
Published: (2024)
Estimation and Inference for Causal Explainability
by: Zhang, Weihan, et al.
Published: (2025)
by: Zhang, Weihan, et al.
Published: (2025)
Bayesian Transfer Learning for High-Dimensional Linear Regression via Adaptive Shrinkage
by: Jamshidian, Parsa, et al.
Published: (2025)
by: Jamshidian, Parsa, et al.
Published: (2025)
Multivariate Functional Linear Discriminant Analysis: An Application to Inflammatory Bowel Disease Classification
by: Liu, Limeng, et al.
Published: (2025)
by: Liu, Limeng, et al.
Published: (2025)
A General Mixture Loss Function to Optimize a Personalized Predictive Model
by: Krikella, Tatiana, et al.
Published: (2026)
by: Krikella, Tatiana, et al.
Published: (2026)
Soil Texture Prediction with Bayesian Generalized Additive Models for Spatial Compositional Data
by: Martínez-Minaya, Joaquín, et al.
Published: (2025)
by: Martínez-Minaya, Joaquín, et al.
Published: (2025)
Rectified Linear Unit Regression
by: Oka, Tatsushi
Published: (2026)
by: Oka, Tatsushi
Published: (2026)
Similar Items
-
The bixplot: A variation on the boxplot suited for bimodal data
by: Montalcini, Camille M., et al.
Published: (2025) -
Random Effects Misspecification and its Consequences for Prediction in Generalized Linear Mixed Models
by: Vu, Quan, et al.
Published: (2024) -
Spatiotemporal Modeling and Forecasting at Scale with Dynamic Generalized Linear Models
by: Pherwani, Pranay, et al.
Published: (2024) -
Linear Model and Extensions
by: Ding, Peng
Published: (2024) -
Gradient-Boosted Generalized Linear Models for Conditional Vine Copulas
by: Jobst, David, et al.
Published: (2024)