The tapered block bootstrap for general statistics from stationary sequences
نویسندگان
چکیده
منابع مشابه
Generalized Seasonal Tapered Block Bootstrap
In this paper a new block bootstrap method for periodic times series called Generalized Seasonal Tapered Block Bootstrap (GSTBB) is introduced. Consistency of the GSTBB for parameters associated with periodically correlated time series is shown; these are the overall mean, seasonal means and Fourier coefficients of the autocovariance function. Consequently, the construction of bootstrap pointwi...
متن کاملTapered Block Bootstrap for Unit Root Testing
A new bootstrap procedure for unit root testing based on the tapered block bootstrap is introduced. This procedure is similar to previous tests that were based on the block bootstrap and stationary bootstrap, but it has the advantage of the tapering procedure that has been previously shown to reduce the bias of the variance estimator by an order of magnitude. In this paper, the procedure is def...
متن کاملBootstrap statistics for empirical games
Researchers often use normal-form games to model multiagent interactions. When a game model is based on observational or simulated data about agent payoffs, we call it an empirical game. The payoff matrix of an empirical game can be analyzed like any normal-form game, for example, by identifying Nash equilibria or instances of other solution concepts. Given the game model’s basis in sampled dat...
متن کاملOptimum Block Size in Separate Block Bootstrap to Estimate the Variance of Sample Mean for Lattice Data
The statistical analysis of spatial data is usually done under Gaussian assumption for the underlying random field model. When this assumption is not satisfied, block bootstrap methods can be used to analyze spatial data. One of the crucial problems in this setting is specifying the block sizes. In this paper, we present asymptotic optimal block size for separate block bootstrap to estimate the...
متن کاملThe Block - Block Bootstrap : Improved Asymptotic Refinements
1 The asymptotic refinements attributable to the block bootstrap for time series are not as large as those of the nonparametric iid bootstrap or the parametric bootstrap. One reason is that the independence between the blocks in the block bootstrap sample does not mimic the dependence structure of the original sample. This is the join-point problem. In this paper, we propose a method of solving...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: The Econometrics Journal
سال: 2002
ISSN: 1368-4221,1368-423X
DOI: 10.1111/1368-423x.t01-1-00077