AbstractWe consider a nonparametric estimation problem for the Lévy measure of time-inhomogeneous process with independent increments. We derive the functional asymptotic normality and efficiency, in an ℓ∞-space, of generalized Nelson–Aalen estimators. Also we propose some asymptotically distribution free tests for time-homogeneity of the Lévy measure. Our result is a fruit of the empirical process theory and the martingale theory
AbstractBy proving Chibisov-O'Reilly-type theorems for uniform empirical and quantile processes base...
In this work a method for statistical analysis of time series is proposed, which is used to obtain s...
textabstractIn this paper we study stochastic processes which enable monitoring the possible changes...
AbstractWe consider a nonparametric estimation problem for the Lévy measure of time-inhomogeneous pr...
The distribution of a homogeneous, continuous-time Markov step process with values in an arbitrary s...
AbstractThe distribution of a homogeneous, continuous-time Markov step process with values in an arb...
AbstractA multivariate point process is a random jump measure in time and space. Its distribution is...
The study of locally stationary processes contains theory and methods about a class of processes tha...
AbstractIn this paper, we define a n-consistent nonparametric estimator for the marginal density fun...
In this paper a nonparametric approach is used to find estimates of certain parameters in non-homoge...
Parametric estimation for diffusion processes is considered for high frequency ob-servations over a ...
In this paper, we define a n-consistent nonparametric estimator for the marginal density function of...
In this report, inhomogeneous Lévy processes are studied in a discrete observational model based on ...
The problem of nonparametric invariant density function estimation of an ergodic diffusion process i...
In this paper we study the power properties of a simple nonparametric test of the martingale hypothe...
AbstractBy proving Chibisov-O'Reilly-type theorems for uniform empirical and quantile processes base...
In this work a method for statistical analysis of time series is proposed, which is used to obtain s...
textabstractIn this paper we study stochastic processes which enable monitoring the possible changes...
AbstractWe consider a nonparametric estimation problem for the Lévy measure of time-inhomogeneous pr...
The distribution of a homogeneous, continuous-time Markov step process with values in an arbitrary s...
AbstractThe distribution of a homogeneous, continuous-time Markov step process with values in an arb...
AbstractA multivariate point process is a random jump measure in time and space. Its distribution is...
The study of locally stationary processes contains theory and methods about a class of processes tha...
AbstractIn this paper, we define a n-consistent nonparametric estimator for the marginal density fun...
In this paper a nonparametric approach is used to find estimates of certain parameters in non-homoge...
Parametric estimation for diffusion processes is considered for high frequency ob-servations over a ...
In this paper, we define a n-consistent nonparametric estimator for the marginal density function of...
In this report, inhomogeneous Lévy processes are studied in a discrete observational model based on ...
The problem of nonparametric invariant density function estimation of an ergodic diffusion process i...
In this paper we study the power properties of a simple nonparametric test of the martingale hypothe...
AbstractBy proving Chibisov-O'Reilly-type theorems for uniform empirical and quantile processes base...
In this work a method for statistical analysis of time series is proposed, which is used to obtain s...
textabstractIn this paper we study stochastic processes which enable monitoring the possible changes...