This paper defines a new notion of bounded computable randomness for certainclasses of sub-computable functions which lack a universal machine. Inparticular, we define such versions of randomness for primitive recursivefunctions and for PSPACE functions. These new notions are robust in that thereare equivalent formulations in terms of (1) Martin-L\"of tests, (2) Kolmogorovcomplexity, and (3) martingales. We show these notions can be equivalentlydefined with prefix-free Kolmogorov complexity. We prove that one direction ofvan Lambalgen's theorem holds for relative computability, but the otherdirection fails. We discuss statistical properties of these notions ofrandomness
The study of Martin-Lof randomness on a computable metric space with a computable measure has had mu...
Abstract. We compare various notions of algorithmic randomness. First we consider relativized random...
AbstractIn this paper we apply some elementary computability-theoretic notions to algorithmic comple...
The notion of Schnorr randomness refers to computable reals or computablefunctions. We propose a ver...
By flipping a coin repeatedly and recording the result, we can create a sequence that intuitively is...
In this paper we apply some elementary computability-theoretic notions to algorithmic complexity the...
Brattka, Miller and Nies [1] showed that some randomness notions are char-acterized by dierentiabili...
In this dissertation we consider two different notions of randomness and their applica-tions to prob...
This dissertation develops connections between algorithmic randomness and computable analysis. In th...
This thesis establishes significant new results in the area of algorithmic randomness. These results...
Abstract: We study a time bounded variant of Kolmogorov complexity. This motion, together with unive...
In this dissertation we consider two different notions of randomness and their applications to probl...
We clarify the role of Kolmogorov complexity in the area of randomness extraction. We show that a co...
AbstractThe algorithmic theory of randomness is well developed when the underlying space is the set ...
Let f be a computable function from finite sequences of 0's and 1's to real numbers. We prove that s...
The study of Martin-Lof randomness on a computable metric space with a computable measure has had mu...
Abstract. We compare various notions of algorithmic randomness. First we consider relativized random...
AbstractIn this paper we apply some elementary computability-theoretic notions to algorithmic comple...
The notion of Schnorr randomness refers to computable reals or computablefunctions. We propose a ver...
By flipping a coin repeatedly and recording the result, we can create a sequence that intuitively is...
In this paper we apply some elementary computability-theoretic notions to algorithmic complexity the...
Brattka, Miller and Nies [1] showed that some randomness notions are char-acterized by dierentiabili...
In this dissertation we consider two different notions of randomness and their applica-tions to prob...
This dissertation develops connections between algorithmic randomness and computable analysis. In th...
This thesis establishes significant new results in the area of algorithmic randomness. These results...
Abstract: We study a time bounded variant of Kolmogorov complexity. This motion, together with unive...
In this dissertation we consider two different notions of randomness and their applications to probl...
We clarify the role of Kolmogorov complexity in the area of randomness extraction. We show that a co...
AbstractThe algorithmic theory of randomness is well developed when the underlying space is the set ...
Let f be a computable function from finite sequences of 0's and 1's to real numbers. We prove that s...
The study of Martin-Lof randomness on a computable metric space with a computable measure has had mu...
Abstract. We compare various notions of algorithmic randomness. First we consider relativized random...
AbstractIn this paper we apply some elementary computability-theoretic notions to algorithmic comple...