:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Tan, Linda S. L., Chen, Aoxiang
Format:	Preprint
Published:	2023
Subjects:	Methodology
Online Access:	https://arxiv.org/abs/2306.02813
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Variational inference for hierarchical models with conditional scale and skewness corrections
by: Kock, Lucas, et al.
Published: (2025)

Bayesian inference for scale mixtures of skew-normal linear models under the centered parameterization
by: de Freitas, João Victor B., et al.
Published: (2024)

On cross-validated estimation of skew normal model
by: Zhang, Jian, et al.
Published: (2024)

On parameter estimation for the truncated skew-normal distribution
by: Seo, Kwangok, et al.
Published: (2026)

Scalable skewed Bayesian inference for latent Gaussian models
by: Dutta, Shourya, et al.
Published: (2025)

Finite population inference for skewness measures
by: Pasquazzi, Leo
Published: (2024)

A Jarque-Bera test for skew normal data
by: Ba, Diam, et al.
Published: (2025)

Kendall's tau and Spearman's rho for normal location-scale and skew-normal scale mixture copulas
by: Lu, Ye
Published: (2024)

Regression models for binary data with scale mixtures of centered skew-normal link functions
by: de Freitas, João Victor B., et al.
Published: (2024)

Robust inference for linear regression models with possibly skewed error distribution
by: Nandy, Amarnath, et al.
Published: (2024)

Modeling temporal dependency of longitudinal data: use of multivariate geometric skew-normal copula
by: Chattopadhyay, Subhajit
Published: (2024)

Tree-based variational inference for Poisson log-normal models
by: Chaussard, Alexandre, et al.
Published: (2024)

Joint modelling of time-to-event and longitudinal response using robust skew normal-independent distributions
by: Dutta, Srimanti, et al.
Published: (2024)

Clustering data with values missing at random using scale mixtures of multivariate skew-normal distributions
by: Pillay, Jason, et al.
Published: (2025)

Composite likelihood inference for the Poisson log-normal model
by: Stoehr, Julien, et al.
Published: (2024)

Alternative statistical inference for the first normalized incomplete moment
by: Lu, Jiannan, et al.
Published: (2025)

Sleep pattern profiling using a finite mixture of contaminated multivariate skew-normal distributions on incomplete data
by: Pillay, Jason, et al.
Published: (2025)

Differential gene expression analysis via two-component mixture models with a semiparametric skew-normal scale mixture alternative
by: Oh, Sangkon, et al.
Published: (2026)

Variational autoencoder for inference of nonlinear mixed effect models based on ordinary differential equations
by: Li, Zhe, et al.
Published: (2026)

Variational inference for approximate objective priors using neural networks
by: Baillie, Nils, et al.
Published: (2025)

Family of multivariate extended skew-elliptical distributions: Statistical properties, inference and application
by: Vila, Roberto, et al.
Published: (2024)

An extension of sine-skewed circular distributions
by: Miyata, Yoichi, et al.
Published: (2024)

Weighted Fisher divergence for high-dimensional Gaussian variational inference
by: Chen, Aoxiang, et al.
Published: (2025)

Design-based theory for causal inference
by: Lu, Xin, et al.
Published: (2025)

Re-examining and calibrating weighted survival analysis for causal inference
by: Xu, Wenfu, et al.
Published: (2026)

Extending finite mixture models with skew-normal distributions and hidden Markov models for time series
by: Nigri, Andrea, et al.
Published: (2025)

An objective non-local prior for skew-symmetric models
by: Rubio, F. J.
Published: (2026)

Unsupervised linear discrimination using skewness
by: Radojicic, Una, et al.
Published: (2025)

A test for normality based on self-similarity
by: Anarat, Akin, et al.
Published: (2026)

Design-based inference for generalized causal effects in randomized experiments
by: Chen, Xinyuan, et al.
Published: (2026)

Fast post-process Bayesian inference with Variational Sparse Bayesian Quadrature
by: Li, Chengkun, et al.
Published: (2023)

High dimensional inference for extreme value indices
by: Chen, Liujun, et al.
Published: (2024)

Effective and flexible depth-based inference for functional parameters
by: Yeon, Hyemin
Published: (2026)

Likelihood-based inference for the Gompertz model with Poisson errors
by: Onorati, Paolo, et al.
Published: (2025)

Jackknife Empirical Likelihood-based inference for S-Gini indices
by: N, Sreelakshmi, et al.
Published: (2017)

Improved multifidelity Monte Carlo estimators based on normalizing flows and dimensionality reduction techniques
by: Zanoni, Andrea, et al.
Published: (2023)

Robust classification via finite mixtures of matrix-variate skew t distributions
by: Mahdavi, Abbas, et al.
Published: (2024)

Design-based theory for causal inference from adaptive experiments
by: Li, Xinran, et al.
Published: (2026)

Box Confidence Depth: simulation-based inference with hyper-rectangles
by: Bortolato, Elena, et al.
Published: (2025)

Modeling and estimating skewed and heavy-tailed populations via unsupervised mixture models
by: Bee, Marco, et al.
Published: (2025)