Results 291 to 300 of about 19,982 (307)

Empirical entropy for right censored data

Acta Mathematicae Applicatae Sinica, English Series, 2015
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zhao, Guo-qing, Liang, Wei, He, Shu-yuan
openaire   +2 more sources

Asymptotic results for runs and empirical cumulative entropies

Journal of Statistical Planning and Inference, 2015
The paper under review deals with sequences of runs and of empirical cumulative entropies. The authors utilize the definition of runs based on differences and ratios of consecutive order statistics as in [\textit{S. Eryilmaz} and \textit{A. Stepanov}, ``Runs in an ordered sequence of random variables'', Metrika 67, No. 3, 299--311 (2008; Zbl 1357.60037)
Giuliano, R   +2 more
openaire   +4 more sources

Fast Approximation of Empirical Entropy via Subsampling

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
Empirical entropy refers to the information entropy calculated from the empirical distribution of a dataset. It is a widely used aggregation function for knowledge discovery, as well as the foundation of other aggregation functions such as mutual information.
Chi Wang, Bailu Ding
openaire   +1 more source

and empirical measures, the irregular set and entropy

Ergodic Theory and Dynamical Systems, 2023
AbstractFor integers a and $b\geq 2$ , let $T_a$ and $T_b$ be multiplication by a and b on $\mathbb {T}=\mathbb {R}/\mathbb {Z}$ . The action on $\mathbb {T}$ by $T_a$ and $T_b$ is called $\times a,\times b$ action and it is known that, if a and b are multiplicatively independent, then the only $\times a,\times b$ invariant and ergodic ...
openaire   +1 more source

Blockwise empirical entropy tests for time series regressions

Journal of Time Series Analysis, 2005
Abstract.  This paper shows how the empirical entropy (also known as exponential likelihood or non‐parametric tilting) method can be used to test general parametric hypothesis in time series regressions. To capture the weak dependence of the observations, the paper uses blocking techniques which are also used in the bootstrap literature on time series.
openaire   +1 more source

How changes affect software entropy: an empirical study

Empirical Software Engineering, 2012
Context Software systems continuously change for various reasons, such as adding new features, fixing bugs, or refactoring. Changes may either increase the source code complexity and disorganization, or help to reducing it. Aim This paper empirically investigates the relationship of source code complexity and disorganization--measured using source code
Gerardo Canfora   +3 more
openaire   +1 more source

Empirical Scale of Side-Chain Conformational Entropy in Protein Folding

Journal of Molecular Biology, 1993
A major effect in the energetics of protein folding is the loss of conformational entropy of the side-chains. The definition of entropy as the Boltzmann sampling over all states (S = -R sigma p(i) ln p(i)) requires evaluation of the probability (p(i)) of the system being in rotameric state i. The principle of this paper is to obtain an estimate of p(i)
S D, Pickett, M J, Sternberg
openaire   +2 more sources

Emotion recognition using empirical mode decomposition and approximation entropy

Computers & Electrical Engineering, 2018
Abstract Automatic human emotion recognition is a key technology for human-machine interaction. In this paper, we propose an electroencephalogram (EEG) feature extraction method that leverages empirical mode decomposition and Approximation Entropy. In our proposed method, Empirical Mode Decomposition (EMD) is used to process EEG signals after data ...
Tian Chen   +6 more
openaire   +1 more source

Functional limit theorems and empirical entropy. II

1987
This paper is a continuation of the author's article ibid. 33, 35-45 (1986; Zbl 0627.60043); translation from Teor. Veroyatn. Mat. Stat. 33, 31-42 (1985). It contains the second half of the proofs of the theorems presented in part I.
openaire   +3 more sources

Home - About - Disclaimer - Privacy