Add to ORKGThis report was subsequently split into two papers, entitled Robustness in Spatia
In this thesis, I study estimations and inferences for semiparametric spatial regression models and ...
This thesis discusses two aspects of spatial statistics: sampling and prediction. In spatial statist...
This collection of notes contains the details of results presented in the author's paper "...
We consider robust methods for the construction of sampling designs in spatial studies. The designs ...
The 12th International Conference on Computational and Financial Econometrics (CFE 2018) and the 11t...
This paper provides an in-depth overview of results and concepts in minimax robust hypothesis testin...
The entire dissertation/thesis text is included in the research.pdf file; the official abstract appe...
13 pages, 1 article*Notes on "[ ]-Minimax Estimation of a Multivariate Location Parameter"* (Solomo...
The bachelor thesis deals with the aspect of robustness of estimates, everything is dis- cussed in d...
This is a research compendium (RC) for the publication "Hyperparameter tuning and performance assess...
A wide range of user groups from policy makers to media commentators demand ever more spatially deta...
Central limit theorems are developed for instrumental variables estimates of linear and semiparametr...
The maximum asymptotic bias of an estimator is a global robustness measure of its performance. The p...
Ahlswede R, Burnashev MV. On minimax estimation in the presence of side information about remote dat...
We address the problem of prediction in a classical spatial simultaneous au-toregressive model. The ...
In this thesis, I study estimations and inferences for semiparametric spatial regression models and ...
This thesis discusses two aspects of spatial statistics: sampling and prediction. In spatial statist...
This collection of notes contains the details of results presented in the author's paper "...
We consider robust methods for the construction of sampling designs in spatial studies. The designs ...
The 12th International Conference on Computational and Financial Econometrics (CFE 2018) and the 11t...
This paper provides an in-depth overview of results and concepts in minimax robust hypothesis testin...
The entire dissertation/thesis text is included in the research.pdf file; the official abstract appe...
13 pages, 1 article*Notes on "[ ]-Minimax Estimation of a Multivariate Location Parameter"* (Solomo...
The bachelor thesis deals with the aspect of robustness of estimates, everything is dis- cussed in d...
This is a research compendium (RC) for the publication "Hyperparameter tuning and performance assess...
A wide range of user groups from policy makers to media commentators demand ever more spatially deta...
Central limit theorems are developed for instrumental variables estimates of linear and semiparametr...
The maximum asymptotic bias of an estimator is a global robustness measure of its performance. The p...
Ahlswede R, Burnashev MV. On minimax estimation in the presence of side information about remote dat...
We address the problem of prediction in a classical spatial simultaneous au-toregressive model. The ...
In this thesis, I study estimations and inferences for semiparametric spatial regression models and ...
This thesis discusses two aspects of spatial statistics: sampling and prediction. In spatial statist...
This collection of notes contains the details of results presented in the author's paper "...