Results 111 to 120 of about 32,104 (213)
Tests for Changes in Count Time Series Models With Exogenous Covariates
ABSTRACT We deal with a parametric change in models for count time series with exogenous covariates specified via the conditional distribution, i.e., with integer generalized autoregressive conditional heteroscedastic models with covariates (INGARCH‐X).
Šárka Hudecová, Marie Hušková
wiley +1 more source
Nonparametric Detection of a Time‐Varying Mean
ABSTRACT We propose a nonparametric portmanteau test for detecting changes in the unconditional mean of a univariate time series which may display either long or short memory. Our approach is designed to have power against, among other things, cases where the mean component of the series displays abrupt level shifts, deterministic trending behaviour ...
Fabrizio Iacone, A. M. Robert Taylor
wiley +1 more source
Strong well‐posedness for a stochastic fluid‐rigid body system via stochastic maximal regularity
Abstract We develop a rigorous analytical framework for a coupled stochastic fluid‐rigid body system in R3$\mathbb {R}^3$. The model describes the motion of a rigid ball immersed in an incompressible Newtonian fluid subjected to both additive noise in the fluid and body equations and transport‐type noise in the fluid equation. We establish local strong
Felix Brandt, Arnab Roy
wiley +1 more source
Infinite-server systems with Hawkes arrivals and Hawkes services. [PDF]
Selvamuthu D, Tardelli P.
europepmc +1 more source
Behavioral inference from non-stationary policies: Theory and application to ridehailing drivers during COVID-19 lockdowns. [PDF]
Battifarano M, Qian S.
europepmc +1 more source
Dynamic Risk Measures for Processes via Backward Stochastic Differential Equations Associated with Lévy Processes. [PDF]
Miao L, Liu Z, Hu Y.
europepmc +1 more source
Anticipative information in a Brownian-Poisson market. [PDF]
D'Auria B, Salmeron JA.
europepmc +1 more source
Wild bootstrap for counting process-based statistics: a martingale theory-based approach. [PDF]
Dietrich MT, Dobler D, de Gunst MCM.
europepmc +1 more source

