We argue that benchmarking sign-volatile series should be based on the principle of movement and sign preservation, which states that a bench-marked series should reproduce the movement and signs in the original series. We show that the widely used variants of Denton (1971) method and the growth preservation method of Causey and Trager (1981) may violate this principle, while its requirements are explicitly taken into account in the pro-posed entropy-based benchmarking methods. Our illustrative examples show that the entropy-based methods can be regarded as plausible competitors for current benchmarking methods, and maybe preferred in certain cases.
Objective: Traditional definition of sample entropy (SampEn), here referred to as global SampEn (GSa...
This study explored a new nonparametric analytical method for identifying heterogeneous segments in ...
This study explored a new nonparametric analytical method for identifying heterogeneous segments in ...
We argue that benchmarking sign-volatile series should be based on the principle of movement and sig...
We argue that benchmarking sign-volatile series should be based on the principle of movement and sig...
We argue that benchmarking sign-volatile series should be based on the principle of movement and sig...
We argue that benchmarking sign-volatile series should be based on the principle of movement and sig...
We argue that benchmarking sign-volatile series should be based on the principle of movement and sig...
We argue that benchmarking sign-volatile series should be based on the principle of movement and sig...
The benchmarking problem arises when time series data for the same target variable are measured at d...
Concluding a section on How to Assess Forecastability (Foresight, Issue 13), Stephan Kolassa comment...
In the machine learning literature we can find numerous methods to solve classification problems. We...
This paper concentrates on the entropy estimation of time series. Two new algorithms are introduced:...
Non-linear methods for estimating variability in time-series are currently of widespread use. Among ...
<p>The estimation process presented in this work is outperforming the compared published estimators....
Objective: Traditional definition of sample entropy (SampEn), here referred to as global SampEn (GSa...
This study explored a new nonparametric analytical method for identifying heterogeneous segments in ...
This study explored a new nonparametric analytical method for identifying heterogeneous segments in ...
We argue that benchmarking sign-volatile series should be based on the principle of movement and sig...
We argue that benchmarking sign-volatile series should be based on the principle of movement and sig...
We argue that benchmarking sign-volatile series should be based on the principle of movement and sig...
We argue that benchmarking sign-volatile series should be based on the principle of movement and sig...
We argue that benchmarking sign-volatile series should be based on the principle of movement and sig...
We argue that benchmarking sign-volatile series should be based on the principle of movement and sig...
The benchmarking problem arises when time series data for the same target variable are measured at d...
Concluding a section on How to Assess Forecastability (Foresight, Issue 13), Stephan Kolassa comment...
In the machine learning literature we can find numerous methods to solve classification problems. We...
This paper concentrates on the entropy estimation of time series. Two new algorithms are introduced:...
Non-linear methods for estimating variability in time-series are currently of widespread use. Among ...
<p>The estimation process presented in this work is outperforming the compared published estimators....
Objective: Traditional definition of sample entropy (SampEn), here referred to as global SampEn (GSa...
This study explored a new nonparametric analytical method for identifying heterogeneous segments in ...
This study explored a new nonparametric analytical method for identifying heterogeneous segments in ...