Saved in:
| Main Authors: | Roy, Arkaprava, Lan, Zhou |
|---|---|
| Format: | Preprint |
| Published: |
2022
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2206.09819 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Bayesian Semiparametric Orthogonal Tucker Factorized Mixed Models for Multi-dimensional Longitudinal Functional Data
by: Roy, Arkaprava, et al.
Published: (2025)
by: Roy, Arkaprava, et al.
Published: (2025)
Conic Sparsity: Estimation of Regression Parameters in Closed Convex Polyhedral Cones
by: Agarwala, Neha, et al.
Published: (2023)
by: Agarwala, Neha, et al.
Published: (2023)
Bayesian Conformal-Projective Prediction
by: Roy, Arkaprava, et al.
Published: (2026)
by: Roy, Arkaprava, et al.
Published: (2026)
Individualized Multi-Treatment Response Curves Estimation using RBF-net with Shared Neurons
by: Chang, Peter, et al.
Published: (2024)
by: Chang, Peter, et al.
Published: (2024)
Relational Graph in Vector Autoregression: A Case Study on the Effect of the Great Recession on Connectivity of Economic Indicators
by: Roy, Arkaprava, et al.
Published: (2024)
by: Roy, Arkaprava, et al.
Published: (2024)
Bayesian Learning of Relational Graph in Semiparametric High-dimensional Time Series
by: Roy, Arkaprava, et al.
Published: (2024)
by: Roy, Arkaprava, et al.
Published: (2024)
Bayesian Inference for High-dimensional Time Series with a Stationary Directed Acyclic Graphical Structure
by: Roy, Arkaprava, et al.
Published: (2025)
by: Roy, Arkaprava, et al.
Published: (2025)
Bayesian inference for group-level cortical surface image-on-scalar-regression with Gaussian process priors
by: Whiteman, Andrew S., et al.
Published: (2023)
by: Whiteman, Andrew S., et al.
Published: (2023)
Nonparametric Bayesian Multi-Treatment Mixture Cure Survival Model with Application in Pediatric Oncology
by: Chang, Peter, et al.
Published: (2025)
by: Chang, Peter, et al.
Published: (2025)
Graphical Model-based Inference on Persistent Homology
by: Wu, Zitian, et al.
Published: (2025)
by: Wu, Zitian, et al.
Published: (2025)
Bayesian Graphical High-Dimensional Time Series Models for Detecting Structural Changes
by: Ghosh, Shuvrarghya, et al.
Published: (2025)
by: Ghosh, Shuvrarghya, et al.
Published: (2025)
Addressing zero-inflated and mis-measured functional predictors in scalar-on-function regression model
by: Ji, Heyang, et al.
Published: (2025)
by: Ji, Heyang, et al.
Published: (2025)
Ancestor regression in structural vector autoregressive models
by: Schultheiss, Christoph, et al.
Published: (2024)
by: Schultheiss, Christoph, et al.
Published: (2024)
Adjusting for bias due to measurement error in functional quantile regression models with error-prone functional and scalar covariates
by: Chen, Xiwei, et al.
Published: (2024)
by: Chen, Xiwei, et al.
Published: (2024)
Extremile scalar-on-function regression
by: Battagliola, Maria Laura, et al.
Published: (2024)
by: Battagliola, Maria Laura, et al.
Published: (2024)
Heavy Lasso: sparse penalized regression under heavy-tailed noise via data-augmented soft-thresholding
by: Mai, The Tien
Published: (2025)
by: Mai, The Tien
Published: (2025)
Linked-Tucker Factorized Individualized Regression for Paired Multivariate Categorical Outcomes
by: Roy, Arkaprava, et al.
Published: (2026)
by: Roy, Arkaprava, et al.
Published: (2026)
Scalable regression calibration approaches to correcting measurement error in multi-level generalized functional linear regression models with heteroscedastic measurement errors
by: Luan, Yuanyuan, et al.
Published: (2023)
by: Luan, Yuanyuan, et al.
Published: (2023)
Least squares-based methods to bias adjustment in scalar-on-function regression model using a functional instrumental variable
by: Chen, Xiwei, et al.
Published: (2025)
by: Chen, Xiwei, et al.
Published: (2025)
A new class of composite GBII regression models with varying threshold for modelling heavy-tailed data
by: Li, Zhengxiao, et al.
Published: (2022)
by: Li, Zhengxiao, et al.
Published: (2022)
Modelling peaks over thresholds in panel data: a two-level grouped panel generalized Pareto regression
by: Liu, Zefan, et al.
Published: (2025)
by: Liu, Zefan, et al.
Published: (2025)
Mixed effects models for extreme value index regression
by: Momoki, Koki, et al.
Published: (2023)
by: Momoki, Koki, et al.
Published: (2023)
Selection of functional predictors and smooth coefficient estimation for scalar-on-function regression models
by: Fathi, Hedayat, et al.
Published: (2025)
by: Fathi, Hedayat, et al.
Published: (2025)
Statistical inference for partially shape-constrained function-on-scalar linear regression models
by: Han, Kyunghee, et al.
Published: (2024)
by: Han, Kyunghee, et al.
Published: (2024)
Large multi-response linear regression estimation based on low-rank pre-smoothing
by: Tian, Xinle, et al.
Published: (2024)
by: Tian, Xinle, et al.
Published: (2024)
Bayesian scalar-on-network regression with applications to brain functional connectivity
by: Ju, Xiaomeng, et al.
Published: (2024)
by: Ju, Xiaomeng, et al.
Published: (2024)
Nonparametric function-on-scalar regression using deep neural networks
by: Takeshita, Kazunori, et al.
Published: (2025)
by: Takeshita, Kazunori, et al.
Published: (2025)
Clustering-based aggregate value regression
by: Hirose, Kei, et al.
Published: (2025)
by: Hirose, Kei, et al.
Published: (2025)
Nonparametric method of structural break detection in stochastic time series regression model
by: Roy, Archi, et al.
Published: (2024)
by: Roy, Archi, et al.
Published: (2024)
Online robust estimation and bootstrap inference for function-on-scalar regression
by: Cheng, Guanghui, et al.
Published: (2024)
by: Cheng, Guanghui, et al.
Published: (2024)
Fast approximative estimation of conditional Shapley values when using a linear regression model or a polynomial regression model
by: Aanes, Fredrik Lohne
Published: (2025)
by: Aanes, Fredrik Lohne
Published: (2025)
An ADMM approach for multi-response regression with overlapping groups and interaction effects
by: Asenso, Theophilus Quachie, et al.
Published: (2023)
by: Asenso, Theophilus Quachie, et al.
Published: (2023)
Sparse group principal component analysis via double thresholding with application to multi-cellular programs
by: Xu, Qi, et al.
Published: (2026)
by: Xu, Qi, et al.
Published: (2026)
Shrinkage linear regression for symbolic interval-valued variables
by: Rodriguez, Oldemar
Published: (2024)
by: Rodriguez, Oldemar
Published: (2024)
Nonparametric regression of spatio-temporal data using infinite-dimensional covariates
by: Roy, Subhrajyoty, et al.
Published: (2026)
by: Roy, Subhrajyoty, et al.
Published: (2026)
Ordinal regression for meta-analysis of test accuracy: a flexible approach for utilising all threshold data
by: Cerullo, Enzo, et al.
Published: (2025)
by: Cerullo, Enzo, et al.
Published: (2025)
Empirical Bayes data integreation for multi-response regression
by: Chakraborty, Antik, et al.
Published: (2026)
by: Chakraborty, Antik, et al.
Published: (2026)
A complex meta-regression model to identify effective features of interventions from multi-arm, multi-follow-up trials
by: Davies, Annabel L, et al.
Published: (2024)
by: Davies, Annabel L, et al.
Published: (2024)
IV regression with distribution-valued outcomes
by: Van Dijcke, David, et al.
Published: (2026)
by: Van Dijcke, David, et al.
Published: (2026)
Identification by non-Gaussianity in structural threshold and smooth transition vector autoregressive models
by: Virolainen, Savi
Published: (2024)
by: Virolainen, Savi
Published: (2024)
Similar Items
-
Bayesian Semiparametric Orthogonal Tucker Factorized Mixed Models for Multi-dimensional Longitudinal Functional Data
by: Roy, Arkaprava, et al.
Published: (2025) -
Conic Sparsity: Estimation of Regression Parameters in Closed Convex Polyhedral Cones
by: Agarwala, Neha, et al.
Published: (2023) -
Bayesian Conformal-Projective Prediction
by: Roy, Arkaprava, et al.
Published: (2026) -
Individualized Multi-Treatment Response Curves Estimation using RBF-net with Shared Neurons
by: Chang, Peter, et al.
Published: (2024) -
Relational Graph in Vector Autoregression: A Case Study on the Effect of the Great Recession on Connectivity of Economic Indicators
by: Roy, Arkaprava, et al.
Published: (2024)