Bridging AIC and BIC: a new criterion for autoregression

11 August 2015

Papers citing "Bridging AIC and BIC: a new criterion for autoregression"

12 / 12 papers shown

Title
Model Privacy: A Unified Framework to Understand Model Stealing Attacks and Defenses G. Wang Yuhong Yang Jie Ding 36 0 0 24 Feb 2025
Sparse maximum likelihood estimation for regression models Min Tsao 22 0 0 14 Mar 2024
Analyzing and Mitigating Object Hallucination in Large Vision-Language Models Yiyang Zhou Chenhang Cui Jaehong Yoon Linjun Zhang Zhun Deng Chelsea Finn Mohit Bansal Huaxiu Yao MLLM 37 164 0 01 Oct 2023
MLOps Spanning Whole Machine Learning Life Cycle: A Survey Fang Zhengxin Yuan Yi Zhang Jingyu Liu Yue Mu Yuechen ... Xu Xiwei Wang Jeff Wang Chen Zhang Shuai Chen Shiping 24 4 0 13 Apr 2023
Regression model selection via log-likelihood ratio and constrained minimum criterion Min Tsao 11 1 0 18 Jul 2021
On Statistical Efficiency in Learning Jie Ding Enmao Diao Jiawei Zhou Vahid Tarokh 11 8 0 24 Dec 2020
Forecasting with Multiple Seasonality Tianyang Xie Jie Ding AI4TS 6 7 0 27 Aug 2020
Pruning coupled with learning, ensembles of minimal neural networks, and future of XAI Alexander N. Gorban Evgeny M. Mirkes 14 0 0 13 May 2020
Consistent model selection criteria and goodness-of-fit test for affine causal processes Jean‐Marc Bardet Kare Kamila William Kengne 26 2 0 23 Jul 2019
Model selection for high-dimensional linear regression with dependent observations C. Ing 14 18 0 18 Jun 2019
Asymptotic Analysis of Model Selection Criteria for General Hidden Markov Models S. Yonekura A. Beskos Sumeetpal S.Singh 22 10 0 28 Nov 2018
Model Selection Techniques -- An Overview Jie Ding Vahid Tarokh Yuhong Yang 8 258 0 22 Oct 2018