Add to ORKGWavelet-based robust tests for jump detection in time series with heavytailed noise are proposed. An efficiency of these tests is analyzed by statistical modelling
This paper suggests an approach to generate human jumping loads using wavelet transform and a databa...
This paper suggests an approach to generate human jumping loads using wavelet transform and a databa...
This paper suggests an approach to generate human jumping loads using wavelet transform and a databa...
Wavelet-based robust tests for jump detection in time series with heavytailed noise are proposed. A...
We evaluate the performances of wavelet jump detection tests by using simulated high-frequency data,...
We evaluate the performances of wavelet jump detection tests by using simulated high-frequency data,...
Wavelets are applied to detection of the jump points of a regression function in nonlinear autoregre...
Wavelets are applied to detect the jumps in a heteroscedastic autoregressive model. The empirical wa...
Wavelets are applied to detect the jumps in a heteroscedastic regression model. It is shown that the...
A wavelet-based technique is proposed for analysing ocalized significant changes in observed data, i...
A wavelet-based technique is proposed for analysing ocalized significant changes in observed data, i...
A wavelet-based technique is proposed for analysing ocalized significant changes in observed data, i...
This paper suggests an approach to generate human jumping loads using wavelet transform and a databa...
Robustified rank tests, applying a robust scale estimator, are investigated for reliable and fast sh...
This paper suggests an approach to generate human jumping loads using wavelet transform and a databa...
This paper suggests an approach to generate human jumping loads using wavelet transform and a databa...
This paper suggests an approach to generate human jumping loads using wavelet transform and a databa...
This paper suggests an approach to generate human jumping loads using wavelet transform and a databa...
Wavelet-based robust tests for jump detection in time series with heavytailed noise are proposed. A...
We evaluate the performances of wavelet jump detection tests by using simulated high-frequency data,...
We evaluate the performances of wavelet jump detection tests by using simulated high-frequency data,...
Wavelets are applied to detection of the jump points of a regression function in nonlinear autoregre...
Wavelets are applied to detect the jumps in a heteroscedastic autoregressive model. The empirical wa...
Wavelets are applied to detect the jumps in a heteroscedastic regression model. It is shown that the...
A wavelet-based technique is proposed for analysing ocalized significant changes in observed data, i...
A wavelet-based technique is proposed for analysing ocalized significant changes in observed data, i...
A wavelet-based technique is proposed for analysing ocalized significant changes in observed data, i...
This paper suggests an approach to generate human jumping loads using wavelet transform and a databa...
Robustified rank tests, applying a robust scale estimator, are investigated for reliable and fast sh...
This paper suggests an approach to generate human jumping loads using wavelet transform and a databa...
This paper suggests an approach to generate human jumping loads using wavelet transform and a databa...
This paper suggests an approach to generate human jumping loads using wavelet transform and a databa...
This paper suggests an approach to generate human jumping loads using wavelet transform and a databa...