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2003.11462
Cited By

On Consistency and Sparsity for High-Dimensional Functional Time Series
with Application to Autoregressions

v1v2 (latest)

On Consistency and Sparsity for High-Dimensional Functional Time Series with Application to Autoregressions

Bernoulli (Bernoulli), 2020

23 March 2020

ArXiv (abs)PDF HTML

Papers citing "On Consistency and Sparsity for High-Dimensional Functional Time Series with Application to Autoregressions"

4 / 4 papers shown

From sparse to dense functional data in high dimensions: Revisiting
phase transitions from a non-asymptotic perspective

From sparse to dense functional data in high dimensions: Revisiting phase transitions from a non-asymptotic perspective

226

2

0

01 Jun 2023

Factor-guided functional PCA for high-dimensional functional data

Factor-guided functional PCA for high-dimensional functional data

200

1

0

22 Nov 2022

An autocovariance-based learning framework for high-dimensional
functional time series

An autocovariance-based learning framework for high-dimensional functional time seriesJournal of Econometrics (J. Econometrics), 2020

401

22

0

29 Aug 2020

Finite Sample Theory for High-Dimensional Functional/Scalar Time Series
with Applications

Finite Sample Theory for High-Dimensional Functional/Scalar Time Series with ApplicationsElectronic Journal of Statistics (EJS), 2020

330

10

0

16 Apr 2020

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