A diagnostic method for space\u2013time point process is here introduced and applied to seismic data of a fixed area of Japan. Nonparametric methods are used to estimate the intensity function of a particular space\u2013time point process and on the basis of the proposed diagnostic method, second-order features of data are analyzed: this approach seems to be useful to interpret space\u2013time variations of the observed seismic activity and to focus on its clustering features
This paper discusses several methods to test the goodness-of-t of a space-time continuous-type branc...
[1] We use recent results on statistical analysis of seismicity to present a robust method for compr...
The government and earthquake associations have recorded the seismic data in spatial-temporal usuall...
A diagnostic method for space–time point process is here introduced and applied to seismic data of a...
A diagnostic method for space-time point process is introduced and used to interpret and assess the ...
As an alternative to traditional parametric approaches, we suggest nonparametric methods for analyzi...
Point processes are well studied objects in probability theory and a powerful tool in statistics fo...
As an alternative to traditional, parametric approaches, we suggest nonparametric methods for analyz...
In this paper, a size-independent modification of the general detrended fluctuation analysis (DFA) m...
In this paper we propose a nonparametric method, based on locally variable bandwidths kernel estima...
In this paper we propose a clustering technique, based on the maximization of the likelihood functio...
In this paper we propose a clustering technique to separate and find out the two main component of s...
The definition of the aftershocks sequence is still a debated topic. We here propose a study of the ...
The identification of seismic active periods and episodes in spatio-temporal data is a complex scale...
Abstract It is expected that the pronounced decrease in b-value of the Gutenberg–Richter law for som...
This paper discusses several methods to test the goodness-of-t of a space-time continuous-type branc...
[1] We use recent results on statistical analysis of seismicity to present a robust method for compr...
The government and earthquake associations have recorded the seismic data in spatial-temporal usuall...
A diagnostic method for space–time point process is here introduced and applied to seismic data of a...
A diagnostic method for space-time point process is introduced and used to interpret and assess the ...
As an alternative to traditional parametric approaches, we suggest nonparametric methods for analyzi...
Point processes are well studied objects in probability theory and a powerful tool in statistics fo...
As an alternative to traditional, parametric approaches, we suggest nonparametric methods for analyz...
In this paper, a size-independent modification of the general detrended fluctuation analysis (DFA) m...
In this paper we propose a nonparametric method, based on locally variable bandwidths kernel estima...
In this paper we propose a clustering technique, based on the maximization of the likelihood functio...
In this paper we propose a clustering technique to separate and find out the two main component of s...
The definition of the aftershocks sequence is still a debated topic. We here propose a study of the ...
The identification of seismic active periods and episodes in spatio-temporal data is a complex scale...
Abstract It is expected that the pronounced decrease in b-value of the Gutenberg–Richter law for som...
This paper discusses several methods to test the goodness-of-t of a space-time continuous-type branc...
[1] We use recent results on statistical analysis of seismicity to present a robust method for compr...
The government and earthquake associations have recorded the seismic data in spatial-temporal usuall...