1. Home
  2. Premium
  3. IEEE ICASSP 2020 Virtual Conference May 2020
  4. Finite Sample Deviation And Variance Bounds For First Order Autoregressive Processes
  5. Finite Sample Deviation And Variance Bounds For First Order Autoregressive Processes
Finite Sample Deviation And Variance Bounds For First Order Autoregressive Processes

This video program is a part of the Premium package:

Finite Sample Deviation And Variance Bounds For First Order Autoregressive Processes

  • IEEE MemberUS $11.00
  • Society MemberUS $0.00
  • IEEE Student MemberUS $11.00
  • Non-IEEE MemberUS $15.00
Purchase

Finite Sample Deviation And Variance Bounds For First Order Autoregressive Processes

0 views
  • Share
Create Account or Sign In to post comments
In this paper, we study finite-sample properties of the least squares estimator in first order autoregressive processes. By leveraging a result from decoupling theory, we derive upper bounds on the probability that the estimate deviates by at least a posi
In this paper, we study finite-sample properties of the least squares estimator in first order autoregressive processes. By leveraging a result from decoupling theory, we derive upper bounds on the probability that the estimate deviates by at least a posi

Next Up

00:10:00
Anti-Jamming Routing For Internet Of Satellites: A Reinforcement Learning Approach
>
00:10:00
TEST
>
00:10:00
TEST #2
>
00:11:17
Article Production Process: Author Gateway and POPP - PoE 2020
>
00:05:01
Article Production Process: Service Levels & Workflow Options - PoE 2020
>
00:28:33
AWS Partner Solution Showcase presented by Scott Francis IoT Partner Solutions Architect at Amazon Web Services
>