Saved in:
| Main Authors: | Stewart, Jonathan R., Schweinberger, Michael |
|---|---|
| Format: | Preprint |
| Published: |
2020
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2012.07167 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Rates of convergence and normal approximations for estimators of local dependence random graph models
by: Stewart, Jonathan R.
Published: (2024)
by: Stewart, Jonathan R.
Published: (2024)
Consistency of empirical distributions of sequences of graph statistics in networks with dependent edges
by: Stewart, Jonathan R.
Published: (2024)
by: Stewart, Jonathan R.
Published: (2024)
Likelihood ratio tests in random graph models with increasing dimensions
by: Yan, Ting, et al.
Published: (2023)
by: Yan, Ting, et al.
Published: (2023)
Statistical inference of random graphs with a surrogate likelihood function
by: Wu, Dingbo, et al.
Published: (2022)
by: Wu, Dingbo, et al.
Published: (2022)
Pseudo-variance quasi-maximum likelihood estimation of semi-parametric time series models
by: Armillotta, Mirko, et al.
Published: (2023)
by: Armillotta, Mirko, et al.
Published: (2023)
On the edge eigenvalues of sparse random geometric graphs
by: Ding, Xiucai, et al.
Published: (2025)
by: Ding, Xiucai, et al.
Published: (2025)
Variational Bernstein-von Mises theorem with increasing parameter dimension
by: Yan, Jiawei, et al.
Published: (2025)
by: Yan, Jiawei, et al.
Published: (2025)
Learning cross-layer dependence structure in multilayer networks
by: Li, Jiaheng, et al.
Published: (2023)
by: Li, Jiaheng, et al.
Published: (2023)
A mixture of a normal distribution with random mean and variance -- Examples of inconsistency of maximum likelihood estimates
by: Ritov, Ya'acov
Published: (2024)
by: Ritov, Ya'acov
Published: (2024)
Maximum likelihood estimation for the $λ$-exponential family
by: Tian, Xiwei, et al.
Published: (2025)
by: Tian, Xiwei, et al.
Published: (2025)
Maximum likelihood estimation in the sparse Rasch model
by: Peng, Pai, et al.
Published: (2025)
by: Peng, Pai, et al.
Published: (2025)
Asymptotics of the maximum likelihood estimator of the location parameter of Pearson Type VII distribution
by: Okamura, Kazuki
Published: (2025)
by: Okamura, Kazuki
Published: (2025)
A unified analysis of likelihood-based estimators in the Plackett--Luce model
by: Han, Ruijian, et al.
Published: (2023)
by: Han, Ruijian, et al.
Published: (2023)
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)
by: Simons, Frederik J., et al.
Published: (2025)
An asymptotic study of the joint maximum likelihood estimation of the regularity and the amplitude parameters of a periodized Mat{é}rn model
by: Petit, Sébastien J
Published: (2022)
by: Petit, Sébastien J
Published: (2022)
Profile monitoring of random functions with Gaussian process basis expansions
by: Iguchi, Takayuki, et al.
Published: (2025)
by: Iguchi, Takayuki, et al.
Published: (2025)
Asymptotic properties of maximum composite likelihood estimators for max-stable Brown-Resnick random fields over a fixed-domain
by: Chenavier, Nicolas, et al.
Published: (2025)
by: Chenavier, Nicolas, et al.
Published: (2025)
Asymptotic properties of maximum likelihood estimators for determinantal point processes
by: Hu, Yaozhong, et al.
Published: (2023)
by: Hu, Yaozhong, et al.
Published: (2023)
Quasi-likelihood ratio test for jump-diffusion processes based on adaptive maximum likelihood inference
by: Nishikawa, Hiromasa, et al.
Published: (2025)
by: Nishikawa, Hiromasa, et al.
Published: (2025)
Quasi-likelihood analysis for adaptive estimation of a degenerate diffusion process
by: Gloter, Arnaud, et al.
Published: (2024)
by: Gloter, Arnaud, et al.
Published: (2024)
Autoregressive networks with dependent edges
by: Chang, Jinyuan, et al.
Published: (2024)
by: Chang, Jinyuan, et al.
Published: (2024)
Maximum likelihood estimation in the ergodic Volterra Ornstein-Uhlenbeck process
by: Alaya, Mohamed Ben, et al.
Published: (2024)
by: Alaya, Mohamed Ben, et al.
Published: (2024)
Restricted maximum likelihood estimation in generalized linear mixed models
by: Maestrini, Luca, et al.
Published: (2024)
by: Maestrini, Luca, et al.
Published: (2024)
Calibration of conditional composite likelihood for Bayesian inference on Gibbs random fields
by: Stoehr, Julien, et al.
Published: (2015)
by: Stoehr, Julien, et al.
Published: (2015)
Asymptotics for likelihood ratio tests of boundary points with singular information and unidentifiable nuisance parameters
by: Ekvall, Karl Oskar, et al.
Published: (2026)
by: Ekvall, Karl Oskar, et al.
Published: (2026)
Asymptotic mixed normality of maximum likelihood estimator for Ewens--Pitman partition
by: Koriyama, Takuya, et al.
Published: (2022)
by: Koriyama, Takuya, et al.
Published: (2022)
Finite-sample performance of the maximum likelihood estimator in logistic regression
by: Chardon, Hugo, et al.
Published: (2024)
by: Chardon, Hugo, et al.
Published: (2024)
Strong consistency of pseudo-likelihood parameter estimator for univariate Gaussian mixture models
by: Lember, Jüri, et al.
Published: (2025)
by: Lember, Jüri, et al.
Published: (2025)
Asymptotic properties of the maximum likelihood estimator for Hidden Markov Models indexed by binary trees
by: Weibel, Julien
Published: (2024)
by: Weibel, Julien
Published: (2024)
Stein's method of moment estimators for local dependency exponential random graph models
by: Fischer, Adrian, et al.
Published: (2025)
by: Fischer, Adrian, et al.
Published: (2025)
Model robust hybrid likelihood
by: Dæhlen, Ingrid, et al.
Published: (2024)
by: Dæhlen, Ingrid, et al.
Published: (2024)
Reconciling common source, specific source, feature based and score based likelihood ratios
by: Boonstra, Aafko, et al.
Published: (2024)
by: Boonstra, Aafko, et al.
Published: (2024)
Gaussian Approximations for the $k$th coordinate of sums of random vectors
by: Ding, Yixi, et al.
Published: (2024)
by: Ding, Yixi, et al.
Published: (2024)
Deriving Lehmer and Hölder means as maximum weighted likelihood estimates for the multivariate exponential family
by: Ziou, Djemel, et al.
Published: (2024)
by: Ziou, Djemel, et al.
Published: (2024)
A dimension reduction for extreme types of directed dependence
by: Fuchs, Sebastian, et al.
Published: (2025)
by: Fuchs, Sebastian, et al.
Published: (2025)
Eigenvector fluctuations and limit results for random graphs with infinite rank kernels
by: Tang, Minh, et al.
Published: (2025)
by: Tang, Minh, et al.
Published: (2025)
Symmetrization for high dimensional dependent random variables
by: Hill, Jonathan B.
Published: (2025)
by: Hill, Jonathan B.
Published: (2025)
Synthetic likelihood in misspecified models
by: Frazier, David T., et al.
Published: (2021)
by: Frazier, David T., et al.
Published: (2021)
On the improved estimation of ordered parameters based on doubly type-II censored sample
by: Bajpai, Shrajal, et al.
Published: (2024)
by: Bajpai, Shrajal, et al.
Published: (2024)
Minimax estimation of functionals in sparse vector model with correlated observations
by: Wang, Yuhao, et al.
Published: (2024)
by: Wang, Yuhao, et al.
Published: (2024)
Similar Items
-
Rates of convergence and normal approximations for estimators of local dependence random graph models
by: Stewart, Jonathan R.
Published: (2024) -
Consistency of empirical distributions of sequences of graph statistics in networks with dependent edges
by: Stewart, Jonathan R.
Published: (2024) -
Likelihood ratio tests in random graph models with increasing dimensions
by: Yan, Ting, et al.
Published: (2023) -
Statistical inference of random graphs with a surrogate likelihood function
by: Wu, Dingbo, et al.
Published: (2022) -
Pseudo-variance quasi-maximum likelihood estimation of semi-parametric time series models
by: Armillotta, Mirko, et al.
Published: (2023)