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Inference of High-dimensional Autoregressive Generalized Linear Models
9 May 2016
Eric C. Hall
Garvesh Raskutti
Rebecca Willett
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Papers citing
"Inference of High-dimensional Autoregressive Generalized Linear Models"
9 / 9 papers shown
Title
Improved Prediction and Network Estimation Using the Monotone Single Index Multi-variate Autoregressive Model
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Garvesh Raskutti
149
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28 Jun 2021
Near-optimal Offline and Streaming Algorithms for Learning Non-Linear Dynamical Systems
Prateek Jain
S. Kowshik
Dheeraj M. Nagaraj
Praneeth Netrapalli
OffRL
95
23
0
24 May 2021
Granger Causality: A Review and Recent Advances
Ali Shojaie
E. Fox
CML
AI4TS
107
284
0
05 May 2021
Majorizing Measures, Sequential Complexities, and Online Learning
Adam Block
Y. Dagan
Alexander Rakhlin
63
13
0
02 Feb 2021
An Optimal Statistical and Computational Framework for Generalized Tensor Estimation
Rungang Han
Rebecca Willett
Anru R. Zhang
121
71
0
26 Feb 2020
High-Dimensional Dynamic Systems Identification with Additional Constraints
Junlin Li
116
0
0
20 Dec 2019
Learning Markov models via low-rank optimization
Ziwei Zhu
Xudong Li
Mengdi Wang
Anru R. Zhang
92
17
0
28 Jun 2019
High-dimensional Log-Error-in-Variable Regression with Applications to Microbial Compositional Data Analysis
Pixu Shi
Yuchen Zhou
Anru R. Zhang
82
19
0
28 Nov 2018
Mixing Times and Structural Inference for Bernoulli Autoregressive Processes
Dimitrios Katselis
Carolyn L. Beck
R. Srikant
71
15
0
19 Dec 2016
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