In bandit algorithms, the randomly time-varying adaptive experimental de...
We derive asymptotic properties of penalized estimators for singular mod...
The purpose of this article is to develop a general parametric estimatio...
Asymptotic expansion is presented for an estimator of the Hurst coeffici...
We derive an asymptotic expansion for the quadratic variation of a stoch...
The asymptotic decision theory by Le Cam and Hajek has been given a luci...
For a semimartingale with jumps, we propose a new estimation method for
...
The paper contains sufficient conditions on the function f and the
stoch...
Asymptotic expansion of a variation with anticipative weights is derived...
We discuss parametric estimation of a degenerate diffusion system from
t...
We study the problem of the non-parametric estimation for the density π
...
Penalized methods are applied to quasi likelihood analysis for stochasti...
We construct an objective function that consists of a quadratic approxim...
We propose a new estimation scheme for estimation of the volatility
para...
The quasi likelihood analysis is generalized to the partial quasi likeli...