We consider the quasi-likelihood analysis for a linear regression model
...
The Gaussian mixed-effects model driven by a stationary integrated
Ornst...
Motivated by better modeling of intra-individual variability in longitud...
In medical image diagnosis, identifying the attention region, i.e., the
...
We consider relative model comparison for the parametric coefficients of...
We study inference for the driving Lévy noise of an ergodic stochastic
d...
In the present study, we propose a novel case-based similar image retrie...
We study the Gaussian quasi-likelihood estimation of the parameter
θ:=(α...
We prove some efficient inference results concerning estimation of a
Orn...
Reversible algorithms are algorithms in which each step represents a par...
Relative error estimation has been recently used in regression analysis....
Efficient estimation of a non-Gaussian stable Levy process with drift an...
This paper considers parametric estimation problem of the continuous par...
We study parametric estimation of ergodic diffusions observed at high
fr...