Random pairing MLE for estimation of item parameters in Rasch model
Fuente:
arXiv
Saved in:
| Main Authors: | Yang, Yuepeng, Ma, Cong |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Sample efficient inductive matrix completion with noise and inexact side information
by: Yang, Yuepeng, et al.
Published: (2026)
by: Yang, Yuepeng, et al.
Published: (2026)
Top-$K$ ranking with a monotone adversary
by: Yang, Yuepeng, et al.
Published: (2024)
by: Yang, Yuepeng, et al.
Published: (2024)
Estimating shared subspace with AJIVE: the power and limitation of multiple data matrices
by: Yang, Yuepeng, et al.
Published: (2025)
by: Yang, Yuepeng, et al.
Published: (2025)
Optimal tuning-free convex relaxation for noisy matrix completion
by: Yang, Yuepeng, et al.
Published: (2022)
by: Yang, Yuepeng, et al.
Published: (2022)
On the sample complexity of parameter estimation in logistic regression with normal design
by: Hsu, Daniel, et al.
Published: (2023)
by: Hsu, Daniel, et al.
Published: (2023)
Revisiting mean estimation over $\ell_p$ balls: Is the MLE optimal?
by: Aolaritei, Liviu, et al.
Published: (2025)
by: Aolaritei, Liviu, et al.
Published: (2025)
Detection of Correlated Random Vectors
by: Elimelech, Dor, et al.
Published: (2024)
by: Elimelech, Dor, et al.
Published: (2024)
Distribution free M-estimation
by: Areces, Felipe, et al.
Published: (2025)
by: Areces, Felipe, et al.
Published: (2025)
On the best approximation by finite Gaussian mixtures
by: Ma, Yun, et al.
Published: (2024)
by: Ma, Yun, et al.
Published: (2024)
Precise analysis of ridge interpolators under heavy correlations -- a Random Duality Theory view
by: Stojnic, Mihailo
Published: (2024)
by: Stojnic, Mihailo
Published: (2024)
Fundamental limits of distributed covariance matrix estimation via a conditional strong data processing inequality
by: Rahmani, Mohammad Reza, et al.
Published: (2025)
by: Rahmani, Mohammad Reza, et al.
Published: (2025)
Time-Uniform Confidence Spheres for Means of Random Vectors
by: Chugg, Ben, et al.
Published: (2023)
by: Chugg, Ben, et al.
Published: (2023)
Uncertainty Quantification of MLE for Entity Ranking with Covariates
by: Fan, Jianqing, et al.
Published: (2022)
by: Fan, Jianqing, et al.
Published: (2022)
Orthogonal Approximate Message Passing with Optimal Spectral Initializations for Rectangular Spiked Matrix Models
by: Chen, Haohua, et al.
Published: (2025)
by: Chen, Haohua, et al.
Published: (2025)
Orthogonal Approximate Message Passing Algorithms for Rectangular Spiked Matrix Models with Rotationally Invariant Noise
by: Chen, Haohua, et al.
Published: (2026)
by: Chen, Haohua, et al.
Published: (2026)
Nonparametric MLE for Gaussian Location Mixtures: Certified Computation and Generic Behavior
by: Polyanskiy, Yury, et al.
Published: (2025)
by: Polyanskiy, Yury, et al.
Published: (2025)
Towards a mathematical theory for consistency training in diffusion models
by: Li, Gen, et al.
Published: (2024)
by: Li, Gen, et al.
Published: (2024)
Ridge interpolators in correlated factor regression models -- exact risk analysis
by: Stojnic, Mihailo
Published: (2024)
by: Stojnic, Mihailo
Published: (2024)
High-probability sample complexities for policy evaluation with linear function approximation
by: Li, Gen, et al.
Published: (2023)
by: Li, Gen, et al.
Published: (2023)
Overfitting has a limitation: a model-independent generalization gap bound based on Rényi entropy
by: Suzuki, Atsushi, et al.
Published: (2025)
by: Suzuki, Atsushi, et al.
Published: (2025)
Graph Attention Network for Node Regression on Random Geometric Graphs with Erdős--Rényi contamination
by: Laha, Somak, et al.
Published: (2026)
by: Laha, Somak, et al.
Published: (2026)
Generalization of LiNGAM that allows confounding
by: Suzuki, Joe, et al.
Published: (2024)
by: Suzuki, Joe, et al.
Published: (2024)
Information-Theoretic Thresholds for the Alignments of Partially Correlated Graphs
by: Huang, Dong, et al.
Published: (2024)
by: Huang, Dong, et al.
Published: (2024)
Detecting Arbitrary Planted Subgraphs in Random Graphs
by: Elimelech, Dor, et al.
Published: (2025)
by: Elimelech, Dor, et al.
Published: (2025)
Statistical Mean Estimation with Coded Relayed Observations
by: Ling, Yan Hao, et al.
Published: (2025)
by: Ling, Yan Hao, et al.
Published: (2025)
Consistent model selection in the spiked Wigner model via AIC-type criteria
by: Mukherjee, Soumendu Sundar
Published: (2023)
by: Mukherjee, Soumendu Sundar
Published: (2023)
Asymptotic Theory of Eigenvectors for Latent Embeddings with Generalized Laplacian Matrices
by: Fan, Jianqing, et al.
Published: (2025)
by: Fan, Jianqing, et al.
Published: (2025)
Unifying AMP Algorithms for Rotationally-Invariant Models
by: Liu, Songbin, et al.
Published: (2024)
by: Liu, Songbin, et al.
Published: (2024)
Optimality of Approximate Message Passing Algorithms for Spiked Matrix Models with Rotationally Invariant Noise
by: Dudeja, Rishabh, et al.
Published: (2024)
by: Dudeja, Rishabh, et al.
Published: (2024)
Perfect Recovery for Random Geometric Graph Matching with Shallow Graph Neural Networks
by: Liu, Suqi, et al.
Published: (2024)
by: Liu, Suqi, et al.
Published: (2024)
Random Subgraph Detection Using Queries
by: Huleihel, Wasim, et al.
Published: (2021)
by: Huleihel, Wasim, et al.
Published: (2021)
Uncertainty Quantification of Spectral Estimator and MLE for Orthogonal Group Synchronization
by: Zhong, Ziliang Samuel, et al.
Published: (2024)
by: Zhong, Ziliang Samuel, et al.
Published: (2024)
Fundamental limits of community detection from multi-view data: multi-layer, dynamic and partially labeled block models
by: Yang, Xiaodong, et al.
Published: (2024)
by: Yang, Xiaodong, et al.
Published: (2024)
Information-Geometric Decomposition of Generalization Error in Unsupervised Learning
by: Kim, Gilhan
Published: (2026)
by: Kim, Gilhan
Published: (2026)
Fine-Grained Uncertainty Quantification via Collisions
by: Friedbaum, Jesse, et al.
Published: (2024)
by: Friedbaum, Jesse, et al.
Published: (2024)
Efficient Unbiased Sparsification
by: Barnes, Leighton, et al.
Published: (2024)
by: Barnes, Leighton, et al.
Published: (2024)
Minimax Optimality of Score-based Diffusion Models: Beyond the Density Lower Bound Assumptions
by: Zhang, Kaihong, et al.
Published: (2024)
by: Zhang, Kaihong, et al.
Published: (2024)
Characterizing Dependence of Samples along the Langevin Dynamics and Algorithms via Contraction of $Φ$-Mutual Information
by: Liang, Jiaming, et al.
Published: (2024)
by: Liang, Jiaming, et al.
Published: (2024)
Representatividad Muestral en la Incertidumbre Simétrica Multivariada para la Selección de Atributos
by: Sosa-Cabrera, Gustavo
Published: (2024)
by: Sosa-Cabrera, Gustavo
Published: (2024)
Fast Convergence of $Φ$-Divergence Along the Unadjusted Langevin Algorithm and Proximal Sampler
by: Mitra, Siddharth, et al.
Published: (2024)
by: Mitra, Siddharth, et al.
Published: (2024)
Similar Items
-
Sample efficient inductive matrix completion with noise and inexact side information
by: Yang, Yuepeng, et al.
Published: (2026) -
Top-$K$ ranking with a monotone adversary
by: Yang, Yuepeng, et al.
Published: (2024) -
Estimating shared subspace with AJIVE: the power and limitation of multiple data matrices
by: Yang, Yuepeng, et al.
Published: (2025) -
Optimal tuning-free convex relaxation for noisy matrix completion
by: Yang, Yuepeng, et al.
Published: (2022) -
On the sample complexity of parameter estimation in logistic regression with normal design
by: Hsu, Daniel, et al.
Published: (2023)