Minimax Risk in Estimating Kink Threshold and Testing Continuity

03/01/2022
by   Javier Hidalgo, et al.
0

We derive a risk lower bound in estimating the threshold parameter without knowing whether the threshold regression model is continuous or not. The bound goes to zero as the sample size n grows only at the cube root rate. Motivated by this finding, we develop a continuity test for the threshold regression model and a bootstrap to compute its p-values. The validity of the bootstrap is established, and its finite sample property is explored through Monte Carlo simulations.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
04/17/2018

Minimax rate of testing in sparse linear regression

We consider the problem of testing the hypothesis that the parameter of ...
research
03/24/2020

Model selection criteria of the standard censored regression model based on the bootstrap sample augmentation mechanism

The statistical regression technique is an extraordinarily essential dat...
research
12/31/2021

The validity of bootstrap testing in the threshold framework

We consider bootstrap-based testing for threshold effects in non-linear ...
research
07/25/2023

Tuning-free testing of factor regression against factor-augmented sparse alternatives

This study introduces a bootstrap test of the validity of factor regress...
research
09/01/2022

Some continuity properties of quantum Rényi divergences

In the problem of binary quantum channel discrimination with product inp...
research
07/03/2018

Finite Sample L_2 Bounds for Sequential Monte Carlo and Adaptive Path Selection

We prove a bound on the finite sample error of sequential Monte Carlo (S...
research
09/06/2023

Ensemble linear interpolators: The role of ensembling

Interpolators are unstable. For example, the mininum ℓ_2 norm least squa...

Please sign up or login with your details

Forgot password? Click here to reset