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Inference of High-dimensional Autoregressive Generalized Linear Models
v1v2 (latest)

Inference of High-dimensional Autoregressive Generalized Linear Models

9 May 2016
Eric C. Hall
Garvesh Raskutti
Rebecca Willett
ArXiv (abs)PDFHTML

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
Improved Prediction and Network Estimation Using the Monotone Single Index Multi-variate Autoregressive Model
Yue Gao
Garvesh Raskutti
149
2
0
28 Jun 2021
Near-optimal Offline and Streaming Algorithms for Learning Non-Linear
  Dynamical Systems
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
Granger Causality: A Review and Recent Advances
Ali Shojaie
E. Fox
CMLAI4TS
107
284
0
05 May 2021
Majorizing Measures, Sequential Complexities, and Online Learning
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
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
High-Dimensional Dynamic Systems Identification with Additional Constraints
Junlin Li
116
0
0
20 Dec 2019
Learning Markov models via low-rank optimization
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
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
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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