Cover Image

Fast Variational Inference of Latent Space Models for Dynamic Networks Using Bayesian P-Splines

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Loyal, Joshua Daniel
Format:	Preprint
Published:	2024
Subjects:	Methodology Computation
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Generalized Bayesian Inference for Dynamic Random Dot Product Graphs
by: Loyal, Joshua Daniel
Published: (2025)

A Latent Space Approach to Inferring Distance-Dependent Reciprocity in Directed Networks
by: Loyal, Joshua Daniel, et al.
Published: (2024)

A Bayesian Dynamic Latent Space Model for Weighted Networks
by: Casarin, Roberto, et al.
Published: (2026)

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

Variational Inference for the Latent Shrinkage Position Model
by: Gwee, Xian Yao, et al.
Published: (2023)

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

Hyperbolic Latent Space Models for Network Embedding: Model Specification and Bayesian Inference
by: Gong, Yiwei, et al.
Published: (2026)

Anchored Variational Inference for Personalized Sequential Latent-State Models
by: Guo, Xingche
Published: (2026)

Variational Inference for Bayesian MIDAS Regression
by: Simeone, Luigi
Published: (2026)

fkbma: An R Package for Detecting Tailoring Variables with Free-Knot B-Splines and Bayesian Model Averaging
by: Maleyeff, Lara, et al.
Published: (2025)

Bayesian Optimization Sequential Surrogate (BOSS) Algorithm: Fast Bayesian Inference for a Broad Class of Bayesian Hierarchical Models
by: Li, Dayi, et al.
Published: (2024)

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

A Semiparametric Nonlinear Mixed Effects Model with Penalized Splines Using Automatic Differentiation
by: D'Alessandro, Matteo, et al.
Published: (2026)

Adaptive Bayesian Multivariate Spline Knot Inference with Prior Specifications on Model Complexity
by: He, Junhui, et al.
Published: (2024)

Bayesian Estimation of Causal Effects Using Proxies of a Latent Interference Network
by: Weinstein, Bar, et al.
Published: (2025)

Spline Quantile Regression
by: Li, Ta-Hsin, et al.
Published: (2025)

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

SANVI: A Fast Spectral-Assisted Network Variational Inference Method with an Extended Surrogate Likelihood Function
by: Wu, Dingbo, et al.
Published: (2025)

Spline-Based Multi-State Models for Analyzing Disease Progression
by: Eletti, Alessia, et al.
Published: (2023)

Advances in Approximate Bayesian Inference for Models in Epidemiology
by: Li, Xiahui, et al.
Published: (2025)

Efficient Bayesian Estimation of Dynamic Structural Equation Models via State Space Marginalization
by: Sørensen, Øystein
Published: (2026)

Bayesian Variational Inference for Mixed Data Mixture Models
by: Wang, Junyang, et al.
Published: (2025)

bayesics: Core Statistical Methods via Bayesian Inference in R
by: Sewell, Daniel K., et al.
Published: (2026)

Efficient Bayesian Inference for Spatial Point Patterns Using the Palm Likelihood
by: Collins, Kevin M., et al.
Published: (2025)

Fast and Scalable Inference for Spatial Extreme Value Models
by: Chen, Meixi, et al.
Published: (2021)

Penalty-Induced Basis Exploration for Bayesian Splines
by: Lim, Sunwoo, et al.
Published: (2023)

Bayesian Inference for Spatial-Temporal Non-Gaussian Data Using Predictive Stacking
by: Pan, Soumyakanti, et al.
Published: (2024)

Stochastic Approximation Cut Algorithm for Inference in Modularized Bayesian Models
by: Liu, Yang, et al.
Published: (2020)

Federated Variational Inference for Bayesian Mixture Models
by: Rao, Jackie, et al.
Published: (2025)

Variational Inference for Fully Bayesian Hierarchical Linear Models
by: Parra-Aldana, Cristian, et al.
Published: (2025)

Variational Inference for Sparse Poisson Regression
by: Kharabati, Mitra, et al.
Published: (2023)

Effect-Wise Inference for Smoothing Spline ANOVA on Tensor-Product Sobolev Space
by: Cho, Youngjin, et al.
Published: (2026)

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

Mixed Latent Position Cluster Models for Networks
by: Lu, Chaoyi, et al.
Published: (2026)

Bayesian Federated Inference for Survival Models
by: Pazira, Hassan, et al.
Published: (2024)

Process-based Inference for Spatial Energetics Using Bayesian Predictive Stacking
by: Wakayama, Tomoya, et al.
Published: (2024)

Detecting Model Misspecification in Bayesian Inverse Problems via Variational Gradient Descent
by: Liu, Qingyang, et al.
Published: (2025)

Generalized Bayesian Likelihood-Free Inference
by: Pacchiardi, Lorenzo, et al.
Published: (2021)

Adaptive Bayesian Joint Latent Space Modeling via Cumulative Shrinkage
by: Lv, Bin, et al.
Published: (2025)

Variational Transdimensional Inference
by: Davies, Laurence, et al.
Published: (2025)