:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Bodelet, Julien, Blanc, Guillaume, Shan, Jiajun, Terrera, Graciela Muniz, Chen, Oliver Y.
Format:	Preprint
Published:	2020
Subjects:	Methodology
Online Access:	https://arxiv.org/abs/2003.13119
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Bayesian Non-linear Mixed-Effects Model for Accurate Detection of the Onset of Cognitive Decline in Longitudinal Aging Studies
by: Massa, Fernando, et al.
Published: (2025)

Generative Model via Quantile Assignment
by: Hrusanov, Georgi, et al.
Published: (2026)

A comparison of mixed-models for the analysis of non-linear longitudinal data: application to late-life cognitive trajectories
by: Wagner, Maude, et al.
Published: (2024)

A Bayesian location-scale joint model for time-to-event and multivariate longitudinal data with association based on within-individual variability
by: Palma, Marco, et al.
Published: (2025)

Robust Mendelian Randomization Estimation using Weighted Quantile Regression
by: St-Pierre, Julien, et al.
Published: (2026)

Nonparametric Screening for Additive Quantile Regression in Ultra-high Dimension
by: Li, Daoji, et al.
Published: (2023)

Examination of Nonlinear Longitudinal Processes with Latent Variables, Latent Processes, Latent Changes, and Latent Classes in the Structural Equation Modeling Framework: The R package nlpsem
by: Liu, Jin
Published: (2023)

Testability of Instrumental Variables in Additive Nonlinear, Non-Constant Effects Models
by: Guo, Xichen, et al.
Published: (2024)

Transfer Learning with Large-Scale Quantile Regression
by: Jin, Jun, et al.
Published: (2022)

Quantile Predictions for Equity Premium using Penalized Quantile Regression with Consistent Variable Selection across Multiple Quantiles
by: Li, Shaobo, et al.
Published: (2025)

MM Algorithms for Statistical Estimation in Quantile Regression
by: Cheng, Yifan, et al.
Published: (2024)

On Quantile Treatment Effects, Rank Similarity,and Variation of Instrumental Variables
by: Han, Sukjin, et al.
Published: (2025)

Towards Identifiable Latent Additive Noise Models
by: Liu, Yuhang, et al.
Published: (2024)

Bayesian Distance-to-Set Models: from Latent Variable to Latent Projection
by: Duan, Leo L, et al.
Published: (2026)

Advancing Counterfactual Inference through Nonlinear Quantile Regression
by: Xie, Shaoan, et al.
Published: (2023)

Quasi-Bayes in Latent Variable Models
by: Kankanala, Sid
Published: (2023)

Multilevel Regression Discontinuity Models with Latent Variables
by: Morell, Monica, et al.
Published: (2026)

Quantile Forecast Matching with a Bayesian Quantile Gaussian Process Model
by: Wadsworth, Spencer, et al.
Published: (2025)

Modeling Latent Underdispersion with Discrete Order Statistics
by: Lederman, Jimmy, et al.
Published: (2025)

The Spike-and-Slab Quantile LASSO for Robust Variable Selection in Cancer Genomics Studies
by: Liu, Yuwen, et al.
Published: (2024)

A Latent Variable Approach to Learning High-dimensional Multivariate longitudinal Data
by: Lee, Sze Ming, et al.
Published: (2024)

Inference on Generalized Latent Variable Models with High-Dimensional Responses and Covariates
by: Ouyang, Jing, et al.
Published: (2026)

Fast Variational Boosting for Latent Variable Models
by: Gunawan, David, et al.
Published: (2025)

Quantile Mediation Analytics
by: Chen, Canyi, et al.
Published: (2024)

Quantile Fourier Transform, Quantile Series, and Nonparametric Estimation of Quantile Spectra
by: Li, Ta-Hsin
Published: (2022)

Bayesian Variable Selection in Distributed Lag Models: A Focus on Binary Quantile and Count Data Regressions
by: Dempsey, Daniel, et al.
Published: (2024)

Computation for Latent Variable Model Estimation: A Unified Stochastic Proximal Framework
by: Zhang, Siliang, et al.
Published: (2020)

Latent Variable Estimation in Bayesian Black-Litterman Models
by: Lin, Thomas Y. L., et al.
Published: (2025)

Nonlinear Multivariate Function-on-function Regression with Variable Selection
by: Haijie, Xu, et al.
Published: (2024)

Matrix Quantile Factor Model
by: Kong, Xin-Bing, et al.
Published: (2022)

Convex Mixed-Integer Programming for Causal Additive Models with Optimization and Statistical Guarantees
by: Zhang, Xiaozhu, et al.
Published: (2025)

A Latent Variable Model for Relational Events with Multiple Receivers
by: Mulder, Joris, et al.
Published: (2021)

Estimation and Statistical Inference for Generalized Multilayer Latent Space Model
by: Liu, Zhaozhe, et al.
Published: (2026)

Identifiable Deep Latent Variable Models for MNAR Data
by: Xie, Huiming, et al.
Published: (2026)

Statistical Inference on Latent Space Models for Network Data
by: Li, Jinming, et al.
Published: (2023)

A Latent Variable Model with Change-Points and Its Application to Time Pressure Effects in Educational Assessment
by: Wallin, Gabriel, et al.
Published: (2024)

Quantile-Frequency Analysis and Spectral Measures for Diagnostic Checks of Time Series With Nonlinear Dynamics
by: Li, Ta-Hsin
Published: (2019)

The Bayesian Gaussian Process Latent Variable Model for Spatio-Temporal Stream Networks
by: Basson, Marno, et al.
Published: (2026)

Multi-level Latent Variable Models for Coheritability Analysis in Electronic Health Records
by: Zhao, Yinjun, et al.
Published: (2025)

Quantifying Omitted Variable Bias in Nonlinear Instrumental Variable Estimators
by: Yen, Yu-Min
Published: (2026)