It is shown that there are no consistent decision rules for the hypothesis testing problem of distinguishing between absolutely continuous and purely singular probability distributions on the real line. In fact, there are no consistent decision rules for distinguishing between absolutely continuous distributions and distributions supported by Borel sets of Hausdorff dimension 0. It follows that there is no consistent sequence of estimators of the Hausdorff dimension of a probability distribution
AbstractIt is shown that every genuinely d-dimensional distribution of class L on Rd is absolutely c...
The paper provides a condition for differentiability as well as an equivalent criterion for Lipschit...
The result by Dvoretzky, Wald, and Wolfowitz on the sufficiency of nonrandomized decision rules for ...
It is shown that there are no consistent decision rules for the hypothesis testing problem of distin...
AbstractThe problem of the determination of the Hausdorff dimension of sets via the special class of...
Lebid M. Fractal analysis of singularly continuous measures generated by Cantor series expansions. B...
The paper is devoted to the study of connections between fractal properties of one-dimensional singu...
The algorithmic theory of randomness is well developed when the underlying space is the set of finit...
AbstractThe algorithmic theory of randomness is well developed when the underlying space is the set ...
We prove that if $1 > \alpha > 1/2$, then there exists a probability measure $\mu$ such that the Hau...
AbstractUpper and lower conditional probabilities are defined by Hausdorff outer and inner measures,...
International audienceGiven a discrete-valued sample $X_1,\dots,X_n$ we wish to decide whether it wa...
http://klinechair.missouri.edu/Vita_Revised.htm (#48)Where there are infinitely many possible [equip...
The present paper discusses some aspects of the role of the Cantor set in probability theory. It con...
We study the task of testing properties of probability distributions and our focus is on understandi...
AbstractIt is shown that every genuinely d-dimensional distribution of class L on Rd is absolutely c...
The paper provides a condition for differentiability as well as an equivalent criterion for Lipschit...
The result by Dvoretzky, Wald, and Wolfowitz on the sufficiency of nonrandomized decision rules for ...
It is shown that there are no consistent decision rules for the hypothesis testing problem of distin...
AbstractThe problem of the determination of the Hausdorff dimension of sets via the special class of...
Lebid M. Fractal analysis of singularly continuous measures generated by Cantor series expansions. B...
The paper is devoted to the study of connections between fractal properties of one-dimensional singu...
The algorithmic theory of randomness is well developed when the underlying space is the set of finit...
AbstractThe algorithmic theory of randomness is well developed when the underlying space is the set ...
We prove that if $1 > \alpha > 1/2$, then there exists a probability measure $\mu$ such that the Hau...
AbstractUpper and lower conditional probabilities are defined by Hausdorff outer and inner measures,...
International audienceGiven a discrete-valued sample $X_1,\dots,X_n$ we wish to decide whether it wa...
http://klinechair.missouri.edu/Vita_Revised.htm (#48)Where there are infinitely many possible [equip...
The present paper discusses some aspects of the role of the Cantor set in probability theory. It con...
We study the task of testing properties of probability distributions and our focus is on understandi...
AbstractIt is shown that every genuinely d-dimensional distribution of class L on Rd is absolutely c...
The paper provides a condition for differentiability as well as an equivalent criterion for Lipschit...
The result by Dvoretzky, Wald, and Wolfowitz on the sufficiency of nonrandomized decision rules for ...