Image de couverture de livre

A Short Note of Comparison between Convex and Non-convex Penalized Likelihood

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteur principal:	Du, Kasy
Format:	Preprint
Publié:	2025
Sujets:	Methodology
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Revisiting Penalized Likelihood Estimation for Gaussian Processes
par: Mutoh, Ayumi, et autres
Publié: (2025)

Penalized Likelihood Methods for Modeling Count Data
par: Bui, Minh Thu, et autres
Publié: (2021)

Adaptive Penalized Likelihood method for Markov Chains
par: Zhou, Yining, et autres
Publié: (2024)

Penalized Likelihood Approach for the Four-parameter Kappa Distribution
par: Papukdee, Nipada, et autres
Publié: (2024)

EM Estimation of the B-Spline Copula with Penalized Pseudo-Likelihood Functions
par: Dou, Xiaoling, et autres
Publié: (2024)

Predictive Causal Inference via Spatio-Temporal Modeling and Penalized Empirical Likelihood
par: Lee, Byunghee, et autres
Publié: (2025)

Penalized Empirical Likelihood for Doubly Robust Causal Inference under Contamination in High Dimensions
par: Lee, Byeonghee, et autres
Publié: (2025)

Doubly Robust Estimation of Continuous Outcomes under Multiple Treatment Levels via GPS, CBPS, and Penalized Empirical Likelihood
par: Lee, Byeonghee, et autres
Publié: (2025)

Technical Note: Targeted Maximum Likelihood Estimator for an ATE Standardized for New Target Population
par: van der Laan, Mark, et autres
Publié: (2025)

Nonparametric Density Estimation for Data Scattered on Irregular Spatial Domains: A Likelihood-Based Approach Using Bivariate Penalized Spline Smoothing
par: Das, Kunal, et autres
Publié: (2024)

Empirical Likelihood Inference over Decentralized Networks
par: Du, Jinye, et autres
Publié: (2024)

Notes on Causation, Comparison, and Regression
par: Chattopadhyay, Ambarish, et autres
Publié: (2023)

Distributed Empirical Likelihood Inference With or Without Byzantine Failures
par: Wang, Qihua, et autres
Publié: (2024)

Pseudo Empirical Likelihood Inference for Non-Probability Survey Samples
par: Chen, Yilin, et autres
Publié: (2025)

An Accurate Computational Approach for Partial Likelihood Using Poisson-Binomial Distributions
par: Cho, Youngjin, et autres
Publié: (2025)

Likelihood Inference for Possibly Non-Stationary Processes via Adaptive Overdifferencing
par: Griffin, Maryclare, et autres
Publié: (2020)

Semi-Parametric Inference for Doubly Stochastic Spatial Point Processes: An Approximate Penalized Poisson Likelihood Approach
par: Cheng, Si, et autres
Publié: (2023)

Non-crossing convex quantile regression
par: Dai, Sheng, et autres
Publié: (2022)

Noisy, Non-Smooth, Non-Convex Estimation of Moment Condition Models
par: Forneron, Jean-Jacques
Publié: (2023)

On Nonparanormal Likelihoods
par: Hothorn, Torsten
Publié: (2024)

Simulation Based Composite Likelihood
par: Rimella, Lorenzo, et autres
Publié: (2023)

Likelihood-ratio inference on differences in quantiles
par: Miller, Evan
Publié: (2023)

A Deep Learning Synthetic Likelihood Approximation of a Non-stationary Spatial Model for Extreme Streamflow Forecasting
par: Majumder, Reetam, et autres
Publié: (2022)

Accurate Inference for Penalized Logistic Regression
par: Zhang, Yuming, et autres
Publié: (2024)

Penalized Subgrouping of Heterogeneous Time Series
par: Crawford, Christopher M., et autres
Publié: (2024)

BLOC: A Global Optimization Framework for Sparse Covariance Estimation with Non-Convex Penalties
par: Das, Priyam, et autres
Publié: (2026)

Penalized Likelihood Parameter Estimation for Differential Equation Models: A Computational Tutorial
par: Simpson, Matthew J, et autres
Publié: (2026)

Simultaneous Estimation and Dataset Selection for Transfer Learning in High Dimensions by a Non-convex Penalty
par: Li, Zeyu, et autres
Publié: (2023)

A Likelihood Perspective on Dose-Finding Study Designs in Oncology
par: Zhang, Zhiwei
Publié: (2023)

Neural Likelihood Surfaces for Spatial Processes with Computationally Intensive or Intractable Likelihoods
par: Walchessen, Julia, et autres
Publié: (2023)

Pseudo-Empirical Likelihood Methods for Causal Inference
par: Huang, Jingyue, et autres
Publié: (2024)

When Composite Likelihood Meets Stochastic Approximation
par: Alfonzetti, Giuseppe, et autres
Publié: (2023)

Sample Empirical Likelihood Methods for Causal Inference
par: Huang, Jingyue, et autres
Publié: (2024)

Estimating Associations Between Cumulative Exposure and Health via Generalized Distributed Lag Non-Linear Models using Penalized Splines
par: Pan, Tianyi, et autres
Publié: (2025)

Likelihood-based inference for the Gompertz model with Poisson errors
par: Onorati, Paolo, et autres
Publié: (2025)

The Marginal Likelihood of two-way tables and Ecological Inference
par: Forcina, Antonio
Publié: (2025)

Alternative Likelihood Approximations for High-Dimensional Intervals for Lasso
par: Harris, Logan, et autres
Publié: (2025)

Regularized Exponentially Tilted Empirical Likelihood for Bayesian Inference
par: Kim, Eunseop, et autres
Publié: (2023)

Likelihood-Free Inference via Structured Score Matching
par: Jiang, Haoyu, et autres
Publié: (2026)

Jackknife Empirical Likelihood-based inference for S-Gini indices
par: N, Sreelakshmi, et autres
Publié: (2017)