Cover Image

Building test batteries based on analysing random number generator tests within the framework of algorithmic information theory

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Ryabko, Boris
Format:	Preprint
Published:	2024
Subjects:	Information Theory 03D32 68Q30 62A01 62G10
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Exchangeability and randomness for infinite and finite sequences
by: Vovk, Vladimir
Published: (2025)

Conformal e-testing
by: Vovk, Vladimir, et al.
Published: (2020)

Weak Signals and Heavy Tails: Learning Theory meets Extreme Value Analysis
by: Clémençon, Stephan, et al.
Published: (2025)

Physics-informed machine learning: A mathematical framework with applications to time series forecasting
by: Doumèche, Nathan
Published: (2025)

Conditionality principle under unconstrained randomness
by: Vovk, Vladimir
Published: (2024)

Unified Robust Boosting
by: Wang, Zhu
Published: (2021)

Multiple testing in game-theoretic probability: pictures and questions
by: Vovk, Vladimir
Published: (2024)

Randomness, exchangeability, and conformal prediction
by: Vovk, Vladimir
Published: (2025)

An optimality property of the Bayes-Kelly algorithm
by: Vovk, Vladimir
Published: (2024)

Validity and efficiency of the conformal CUSUM procedure
by: Vovk, Vladimir, et al.
Published: (2024)

Regainingly approximable numbers and sets
by: Hertling, Peter, et al.
Published: (2023)

Pair Correlation Factor and the Sample Complexity of Gaussian Mixtures
by: Aryan, Farzad
Published: (2025)

True and false discoveries with independent and sequential e-values
by: Vovk, Vladimir, et al.
Published: (2020)

Patient recruitment forecasting in clinical trials using time-dependent Poisson-gamma model and homogeneity testing criteria
by: Anisimov, Volodymyr, et al.
Published: (2024)

Data-driven Error Estimation: Excess Risk Bounds without Class Complexity as Input
by: Krishnamurthy, Sanath Kumar, et al.
Published: (2024)

E-variables and tests of randomness for distribution classes
by: Potapov, Georgii, et al.
Published: (2026)

Finding a dense submatrix of a random matrix. Sharp bounds for online algorithms
by: Bhamidi, Shankar, et al.
Published: (2025)

Testing parametric models for the angular measure for bivariate extremes
by: Lhaut, Stéphane, et al.
Published: (2024)

Comparison of Machine Learning Classification Algorithms and Application to the Framingham Heart Study
by: Kahouadji, Nabil
Published: (2024)

Merging sequential e-values via martingales
by: Vovk, Vladimir, et al.
Published: (2020)

On uniformly consistent tests
by: Ermakov, Mikhail
Published: (2023)

Some multivariate goodness of fit tests based on data depth
by: Singh, Rahul, et al.
Published: (2021)

Confidence and discoveries with e-values
by: Vovk, Vladimir, et al.
Published: (2019)

Closed-Form Beta Distribution Estimation from Sparse Statistics with Random Forest Implicit Regularization
by: Landers, Jonathan R.
Published: (2025)

Information vs Dimension -- an Algorithmic Perspective
by: Reimann, Jan
Published: (2024)

Strong Kurtz Randomness and Binary Expansions of Reordered Computable Numbers
by: Hertling, Peter, et al.
Published: (2025)

generalRSS: Sampling and Inference for Balanced and Unbalanced Ranked Set Sampling in R
by: Moon, Chul, et al.
Published: (2025)

A model-free test of the time-reversibility of climate change processes
by: Goto, Yuichi, et al.
Published: (2024)

Solovay reducibility implies S2a-reducibility
by: Titov, Ivan
Published: (2024)

A total Solovay reducibility and totalizing of the notion of speedability
by: Merkle, Wolfgang, et al.
Published: (2024)

New Equivalences Between Interpolation and SVMs: Kernels and Structured Features
by: Kaushik, Chiraag, et al.
Published: (2023)

Measuring Extreme Tail Association
by: Das, Bikramjit, et al.
Published: (2026)

Methodological considerations for semialgebraic hypothesis testing with incomplete U-statistics
by: Barnhill, David, et al.
Published: (2025)

Median Radial Function: A Robust, Covariance-Free Framework and Applications
by: Elamir, Elsayed
Published: (2026)

Depth-Based Vector Median Absolute Deviation Moments for Robust Multivariate Shape Analysis
by: Elamir, Elsayed
Published: (2026)

The Role of Mean Absolute Deviation Function in Obtaining Smooth Estimation for Distribution and Density Functions: Beta Regression Approach
by: Elamir, Elsayed A. H.
Published: (2024)

A Robust Moment System Based on Absolute Deviations and Quantile Slicing
by: Elamir, Elsayed
Published: (2026)

Exploring Multivariate Data Using Median Absolute Deviation Depth
by: Elamir, Elsayed
Published: (2026)

A Percentile-Focused Regression Method for Applied Data with Irregular Error Structures
by: Elamir, Elsayed
Published: (2026)

Extreme-PLS with missing data under weak dependence
by: Girard, Stéphane, et al.
Published: (2025)