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
In this paper, we propose a novel entropy-based resampling scheme valid for non-stationary data. In ...
ca. 200 words; this text will present the book in all promotional forms (e.g. flyers). Please descri...
This paper concentrates on the entropy estimation of time series. Two new algorithms are introduced:...
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...
In the machine learning literature we can find numerous methods to solve classification problems. We...
The benchmarking problem arises when time series data for the same target variable are measured at d...
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...
The present study aimed to compare various entropy measures to assess the dynamics and complexity of...
In this paper, we propose a novel entropy-based resampling scheme valid for non-stationary data. In ...
ca. 200 words; this text will present the book in all promotional forms (e.g. flyers). Please descri...
This paper concentrates on the entropy estimation of time series. Two new algorithms are introduced:...
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...
In the machine learning literature we can find numerous methods to solve classification problems. We...
The benchmarking problem arises when time series data for the same target variable are measured at d...
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...
The present study aimed to compare various entropy measures to assess the dynamics and complexity of...
In this paper, we propose a novel entropy-based resampling scheme valid for non-stationary data. In ...
ca. 200 words; this text will present the book in all promotional forms (e.g. flyers). Please descri...
This paper concentrates on the entropy estimation of time series. Two new algorithms are introduced:...