:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Bortner, Cashous, Garbett, Jennifer, Gross, Elizabeth, McClain, Christopher, Krawzik, Naomi, Young, Derek
Format:	Preprint
Published:	2024
Subjects:	Statistics Theory
Online Access:	https://arxiv.org/abs/2410.06223
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Monte Carlo goodness-of-fit tests for degree corrected and related stochastic blockmodels
by: Karwa, Vishesh, et al.
Published: (2016)

Graph-based sufficient conditions for indistinguishability of linear compartmental models
by: Bortner, Cashous, et al.
Published: (2023)

Non-asymptotic goodness-of-fit tests and model selection in valued stochastic blockmodels
by: Almendra-Hernández, Félix, et al.
Published: (2025)

Maximum likelihood estimation for the $λ$-exponential family
by: Tian, Xiwei, et al.
Published: (2025)

Maximum likelihood estimation in the sparse Rasch model
by: Peng, Pai, et al.
Published: (2025)

Identifiability of linear compartmental tree models and a general formula for input-output equations
by: Bortner, Cashous, et al.
Published: (2021)

On the maximum likelihood degree for Gaussian graphical models
by: Améndola, Carlos, et al.
Published: (2024)

Maximum likelihood estimation in the ergodic Volterra Ornstein-Uhlenbeck process
by: Alaya, Mohamed Ben, et al.
Published: (2024)

Maximum likelihood thresholds of generic linear concentration models
by: Bernstein, Daniel Irving, et al.
Published: (2023)

Model‐based clustering in simple hypergraphs through a stochastic blockmodel
by: Luca Brusa, et al.
Published: (2024)

Synthetic likelihood in misspecified models
by: Frazier, David T., et al.
Published: (2021)

Maximum-likelihood estimation of the Matérn covariance structure of isotropic spatial random fields on finite, sampled grids
by: Simons, Frederik J., et al.
Published: (2025)

Robustifying likelihoods by optimistically re-weighting data
by: Dewaskar, Miheer, et al.
Published: (2023)

Pooling information in likelihood-free inference
by: Frazier, David T., et al.
Published: (2022)

Maximum likelihood estimation for spinal-structured trees
by: Azaïs, Romain, et al.
Published: (2021)

Model robust hybrid likelihood
by: Dæhlen, Ingrid, et al.
Published: (2024)

Quasi-likelihood ratio test for jump-diffusion processes based on adaptive maximum likelihood inference
by: Nishikawa, Hiromasa, et al.
Published: (2025)

Proof of a Conjecture of Drton, Sturmfels and Sullivant on the maximum likelihood degree of the Gaussian graphical model of a cycle
by: Dinu, Rodica Andreea, et al.
Published: (2025)

Graph-Based Proofs of Indistinguishability of Linear Compartmental Models
by: Bortner, Cashous, et al.
Published: (2024)

Maximum likelihood estimation of mean functions for Gaussian processes under small noise asymptotics
by: Kobayashi, Mitsuki, et al.
Published: (2025)

Algebraic approach to maximum likelihood factor analysis
by: Fukasaku, Ryoya, et al.
Published: (2024)

Empirical likelihood for generalized smoothly trimmed mean
by: Kresse, Elina, et al.
Published: (2024)

Robustified Gaussian quasi-likelihood inference for volatility
by: Eguchi, Shoichi, et al.
Published: (2025)

Subspace Ordering for Maximum Response Preservation in Sufficient Dimension Reduction
by: Boonstra, Derik T., et al.
Published: (2025)

Asymptotic properties of maximum likelihood estimators for determinantal point processes
by: Hu, Yaozhong, et al.
Published: (2023)

E-values as statistical evidence: A comparison to Bayes factors, likelihoods, and p-values
by: Chugg, Ben, et al.
Published: (2026)

Quasi-likelihood analysis for adaptive estimation of a degenerate diffusion process
by: Gloter, Arnaud, et al.
Published: (2024)

On testing the class of symmetry using entropy characterization and empirical likelihood approach
by: Avhad, Ganesh Vishnu, et al.
Published: (2025)

Quasi-likelihood inference for SDE with mixed-effects observed at high frequency
by: Delattre, Maud, et al.
Published: (2025)

Classifying one-dimensional discrete models with maximum likelihood degree one
by: Bik, Arthur, et al.
Published: (2022)

Empirical likelihood for Fréchet means on open books
by: Bharath, Karthik, et al.
Published: (2024)

Marginal likelihoods for finite-support Huber contamination
by: Kim, Jaehoan
Published: (2026)

On a surprising behavior of the likelihood ratio test in non-parametric mixture models
by: Zhang, Yan, et al.
Published: (2025)

No need for an oracle: the nonparametric maximum likelihood decision in the compound decision problem is minimax
by: Ritov, Ya'acov
Published: (2023)

Semi-supervised learning in unmatched linear regression using an empirical likelihood approach
by: Balabdaoui, Fadoua, et al.
Published: (2026)

Cluster expansion of the log-likelihood ratio: Optimal detection of planted matchings
by: Wee, Timothy L. H., et al.
Published: (2025)

Restricted maximum likelihood estimation in generalized linear mixed models
by: Maestrini, Luca, et al.
Published: (2024)

Combining experimental and observational data through a power likelihood
by: Lin, Xi, et al.
Published: (2023)

Statistical inference of random graphs with a surrogate likelihood function
by: Wu, Dingbo, et al.
Published: (2022)

On the Kostant-Souriau prequantization of scalar fields with polysymplectic structures
by: McClain, Tom
Published: (2024)