:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Krivitsky, Pavel N., Kuvelkar, Alina R., Hunter, David R.
Format:	Preprint
Published:	2022
Subjects:	Computation
Online Access:	https://arxiv.org/abs/2202.03572
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Tale of Two Datasets: Representativeness and Generalisability of Inference for Samples of Networks
by: Krivitsky, Pavel N., et al.
Published: (2022)

Rejoinder to Discussion of "A Tale of Two Datasets: Representativeness and Generalisability of Inference for Samples of Networks''
by: Krivitsky, Pavel N., et al.
Published: (2023)

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

Integer Linear-Exponential Programming in NP by Quantifier Elimination
by: Chistikov, Dmitry, et al.
Published: (2024)

Balance Correlations, Agentic Zeros, and Networks: The Structure of 192 Years of War and Peace
by: Dekker, David, et al.
Published: (2023)

Multiview graph dual-attention deep learning and contrastive learning for multi-criteria recommender systems
by: Forouzandeh, Saman, et al.
Published: (2025)

Regularized Exponentially Tilted Empirical Likelihood for Bayesian Inference
by: Kim, Eunseop, et al.
Published: (2023)

Optimization Modulo Integer Linear-Exponential Programs
by: Hitarth, S, et al.
Published: (2025)

Misspecification-robust Sequential Neural Likelihood for Simulation-based Inference
by: Kelly, Ryan P., et al.
Published: (2023)

Selective Inference in Graphical Models via Maximum Likelihood
by: Guglielmini, Sofia, et al.
Published: (2025)

Variational Regularized Bilevel Estimation for Exponential Random Graph Models
by: Choi, Yoon
Published: (2025)

Estimating Marginal Likelihoods in Likelihood-Free Inference via Neural Density Estimation
by: Bastide, Paul, et al.
Published: (2025)

Likelihood-Based Inference for the Asymmetric Exponentiated Bimodal Normal Model
by: Guillermo Martínez-Flórez
Published: (2022)

Block Empirical Likelihood Inference for Longitudinal Generalized Partially Linear Single-Index Models
by: Zhang, Tianni, et al.
Published: (2026)

Scalable Signed Exponential Random Graph Models under Local Dependence
by: Schalberger, Marc, et al.
Published: (2025)

Dropout Regularization in Extended Generalized Linear Models based on Double Exponential Families
by: Schwienhorst, Benedikt Lütke, et al.
Published: (2023)

Likelihood-based Inference for Random Networks with Changepoints
by: Cirkovic, Daniel, et al.
Published: (2022)

Sampling-based Pseudo-Likelihood for Membership Inference Attacks
by: Kaneko, Masahiro, et al.
Published: (2024)

Use of Advanced Platelet‐Rich Fibrin for the Treatment of Multiple Adjacent Mucogingival Recessions: A Technical Report of the Fibrin‐Assisted Soft‐Tissue Promotion Protocol
by: Alexandre‐Amir Aalam, et al.
Published: (2024)

Randomized Maximum Likelihood via High-Dimensional Bayesian Optimization
by: Breaz, Valentin, et al.
Published: (2022)

Identifying Linear Relational Concepts in Large Language Models
by: Chanin, David, et al.
Published: (2023)

Membership Inference on Text-to-Image Diffusion Models via Conditional Likelihood Discrepancy
by: Zhai, Shengfang, et al.
Published: (2024)

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

Goal Recognition via Linear Programming
by: Meneguzzi, Felipe, et al.
Published: (2024)

QuAKE: Speeding up Model Inference Using Quick and Approximate Kernels for Exponential Non-Linearities
by: Narayanaswami, Sai Kiran, et al.
Published: (2024)

Likelihood-Based Inference with Separable Correlation Matrices
by: Ekvall, Karl Oskar
Published: (2018)

Computational Approaches for Exponential-Family Factor Analysis
by: Wang, Liang, et al.
Published: (2024)

Likelihood-Free Adaptive Bayesian Inference via Nonparametric Distribution Matching
by: Lu, Wenhui Sophia, et al.
Published: (2025)

Empirical Likelihood Inference over Decentralized Networks
by: Du, Jinye, et al.
Published: (2024)

Statistical Inference for Random Unknowns via Modifications of Extended Likelihood
by: Lee, Hangbin, et al.
Published: (2023)

Optimal Boundary Control of Diffusion on Graphs via Linear Programming
by: Antil, Harbir, et al.
Published: (2025)

ReCaLL: Membership Inference via Relative Conditional Log-Likelihoods
by: Xie, Roy, et al.
Published: (2024)

Quasi-maximum Likelihood Inference for Linear Double Autoregressive Models
by: Liu, Hua, et al.
Published: (2020)

Tighter Bounds for the Randomized Polynomial-Time Simplex Algorithm for Linear Programming
by: Gibor, Daniel
Published: (2025)

A Bayesian Update Method for Exponential Family Projection Filters with Non-Conjugate Likelihoods
by: Emzir, Muhammad Fuady
Published: (2025)

Consistent and Scalable Composite Likelihood Estimation of Probit Models with Crossed Random Effects
by: Bellio, Ruggero, et al.
Published: (2023)

Truncated Neural Likelihood Estimation for Simulation-Based Inference in State-Space Models
by: Tsampourakis, Kostas, et al.
Published: (2026)

On Exponential Random Graph Models with Dyadic Independence
by: Sadeghi, Kayvan
Published: (2025)

Estimation of a Likelihood Ratio Ordered Family of Distributions
by: Mösching, Alexandre, et al.
Published: (2020)

Approximate Likelihood-Based Inference for Spatial Generalized Linear Mixed Models
by: Watson, Samuel I., et al.
Published: (2026)