:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Wang, Liang, Carvalho, Luis
Format:	Preprint
Published:	2024
Subjects:	Methodology Computation
Online Access:	https://arxiv.org/abs/2403.14925
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Likelihood Based Inference in Fully and Partially Observed Exponential Family Graphical Models with Intractable Normalizing Constants
by: Chen, Yujie, et al.
Published: (2024)

E-Values for Exponential Families: the General Case
by: Hao, Yunda, et al.
Published: (2024)

Differential Density Analysis in Single-Cell Genomics Using Specially Designed Exponential Families
by: Ye, Hanxuan, et al.
Published: (2025)

Non-Data-Splitting Estimator Selection for Regression in Exponential Families
by: Chen, Juntong
Published: (2022)

Quantile Least Squares: A Flexible Approach for Robust Estimation and Validation of Location-Scale Families
by: Adjieteh, Mohammed, et al.
Published: (2024)

Multiclass ROC
by: Wang, Liang, et al.
Published: (2024)

Optimal E-Values for Exponential Families: the Simple Case
by: Grünwald, Peter, et al.
Published: (2024)

E-values for k-Sample Tests With Exponential Families
by: Hao, Yunda, et al.
Published: (2023)

Isotonic Mechanism for Exponential Family Estimation in Machine Learning Peer Review
by: Yan, Yuling, et al.
Published: (2023)

Identifiable Markov Switching Models with Instantaneous Effects and Exponential Families
by: Hulsman, Roel, et al.
Published: (2026)

Enhancing Scalability in Bayesian Nonparametric Factor Analysis of Spatiotemporal Data
by: Cheng, Yifan, et al.
Published: (2023)

hdbayes: An R Package for Bayesian Analysis of Generalized Linear Models Using Historical Data
by: Alt, Ethan M., et al.
Published: (2025)

Efficient Computation of High-Dimensional Penalized Generalized Linear Mixed Models by Latent Factor Modeling of the Random Effects
by: Heiling, Hillary M., et al.
Published: (2023)

Fast Variational Inference for Bayesian Factor Analysis in Single and Multi-Study Settings
by: Hansen, Blake, et al.
Published: (2023)

A General Framework for Empirical Bayes Estimation in Discrete Linear Exponential Family
by: Banerjee, Trambak, et al.
Published: (2019)

Enhancing Computational Efficiency in High-Dimensional Bayesian Analysis: Applications to Cancer Genomics
by: Agyare, Benjamin Osafo
Published: (2024)

From Physics to Statistics: A Simple Route to Exponential Families via Maximum Entropy
by: Strimmer, Korbinian
Published: (2026)

Dynamic Factor Analysis with Dependent Gaussian Processes for High-Dimensional Gene Expression Trajectories
by: Cai, Jiachen, et al.
Published: (2023)

A Computational Approach to Improving Fairness in K-means Clustering
by: Zhou, Guancheng, et al.
Published: (2025)

Efficient Bayes Factor Sensitivity Analysis via Posterior Density Ratios
by: Bartoš, František, et al.
Published: (2026)

Meta-Analysis with JASP, Part I: Classical Approaches
by: Bartoš, František, et al.
Published: (2025)

Meta-Analysis with JASP, Part II: Bayesian Approaches
by: Bartoš, František, et al.
Published: (2025)

ebnm: An R Package for Solving the Empirical Bayes Normal Means Problem Using a Variety of Prior Families
by: Willwerscheid, Jason, et al.
Published: (2021)

Robustifying Approximate Bayesian Computation
by: Weerasinghe, Chaya, et al.
Published: (2025)

Time Series Analysis of Rankings: A GARCH-Type Approach
by: Piancastelli, Luiza, et al.
Published: (2025)

Inferring Covariance Structure from Multiple Data Sources via Subspace Factor Analysis
by: Chandra, Noirrit Kiran, et al.
Published: (2023)

Permutations accelerate Approximate Bayesian Computation
by: Luciano, Antoine, et al.
Published: (2025)

Factor pre-training in Bayesian multivariate logistic models
by: Mauri, Lorenzo, et al.
Published: (2024)

Generalized Poisson Matrix Factorization for Overdispersed Count Data
by: Ohashi, Ryo, et al.
Published: (2025)

Sequential Confirmatory Factor Analysis: A Novel Approach to Latent Variable Measurement
by: Johnson, Zachary Esses
Published: (2025)

Computation of Optimal Type-II Progressing Censoring Scheme Using Genetic Algorithm Approach
by: Roy, Ujjwal, et al.
Published: (2025)

Screening the Discrepancy Function of a Computer Model
by: Barbillon, Pierre, et al.
Published: (2021)

Enhancing the Tensor Normal via Geometrically Parameterized Cholesky Factors
by: Simonis, Quinn, et al.
Published: (2025)

Multiple Outlier Detection in Samples with Exponential & Pareto Tails: Redeeming the Inward Approach & Detecting Dragon Kings
by: Sornette, Didier, et al.
Published: (2015)

Sequential Monte Carlo for Cut-Bayesian Posterior Computation
by: Mathews, Joseph, et al.
Published: (2024)

Approximate Bayesian Computation with Statistical Distances for Model Selection
by: Grazian, Clara
Published: (2024)

Shrinkage-Constrained Functional Calibration for Complex Computer Models
by: Myhill, Liam, et al.
Published: (2026)

Local Quasi-Exponential Growth Models: Kernel Differential Equation Regression and Sparse Data
by: Ge, Chunlei, et al.
Published: (2025)

Exploring Discrete Factor Analysis with the discFA Package in R
by: Belaghi, Reza Arabi, et al.
Published: (2025)

Constructing Level Sets Using Smoothed Approximate Bayesian Computation
by: Edwards, David, et al.
Published: (2024)