A comparison of alternative approaches to sup-norm goodness of fit tests with estimated parameters [PDF]
Goodness of fit tests based on sup-norm statistics of empirical processes have nonstandard limiting distributions when the null hypothesis is composite-that is, when parameters of the null model are estimated.
Thomas Parker
core
Advanced multiscale machine learning for nerve conduction velocity analysis. [PDF]
Sci RepSadeghi H.
europepmc +1 more source
Chaotic expansion of powers and martingale representation (v1.5) [PDF]
This paper extends a recent martingale representation result of [N-S] for a Levy process to filtrations generated by a rather large class of semimartingales.
Farshid Jamshidian
core
Chaotic expansion of powers and martingale representation (v1.2) [PDF]
This paper extends a recent martingale representation result of [N-S] for a L\'{e}vy process to filtrations generated by a rather large class of semimartingales.
Farshid Jamshidian
core
An efficient parallel DCNN algorithm in big data environment. [PDF]
PeerJ Comput SciMao Y +6 more
europepmc +1 more source
Dynamics and optimal control of a stochastic coronavirus (COVID-19) epidemic model with diffusion. [PDF]
Nonlinear Dyn, 2022 Li Y, Wei Z.
europepmc +1 more source
A repetitive learning based fractional order parameter optimization algorithm for extended Wiener systems with backlash nonlinearity subject to binary-valued data. [PDF]
Sci RepGong Y, Feng Y, Lu X, Li L.
europepmc +1 more source
Dynamic characteristics of expectations of short-term interest rate and a generalized Vasicek model. [PDF]
HeliyonGuan Y, Fang Z, Wang X, Wang X, Yu T.
europepmc +1 more source
Martingale transforms between and of martingale spaces
The martingale transform techniques are used to show that given any Young function [Phi] with finite power p the corresponding space is the martingale transform of and the converse result is also true.
Meng, Weiwei, Yu, Lin
core