Entropy  

Yujie Gu, Qianyu Zhang and Liying Yu

Rough random theory, generally applied to statistics, decision-making, and so on, is an extension of rough set theory and probability theory, in which a rough random variable is described as a random variable taking “rough variable” values. In order to ex... see more

Hamed Azami and Javier Escudero

Dispersion entropy (DispEn) is a recently introduced entropy metric to quantify the uncertainty of time series. It is fast and, so far, it has demonstrated very good performance in the characterisation of time series. It includes a mapping step, but the e... see more

Charisse Farr, Fabrizio Ruggeri and Kerrie Mengersen

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Daniel Ramos, Javier Franco-Pedroso, Alicia Lozano-Diez and Joaquin Gonzalez-Rodriguez

In this work, we analyze the cross-entropy function, widely used in classifiers both as a performance measure and as an optimization objective. We contextualize cross-entropy in the light of Bayesian decision theory, the formal probabilistic framework for... see more

Hossein Foroozand, Valentina Radic and Steven V. Weijs

Recently, the Entropy Ensemble Filter (EEF) method was proposed to mitigate the computational cost of the Bootstrap AGGregatING (bagging) method. This method uses the most informative training data sets in the model ensemble rather than all ensemble membe... see more

Yu-Chao Hua, Tiao Zhao and Zeng-Yuan Guo

Irreversibility (that is, the “one-sidedness” of time) of a physical process can be characterized by using Lyapunov functions in the modern theory of stability. In this theoretical framework, entropy and its production rate have been generally regarded as... see more

Massimo Tessarotto and Claudio Cremaschini

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Luis A. Alarcón Ramos, Roberto Bernal Jaquez and Alexander Schaum

The problem of stabilizing the spreading process to a prescribed probability distribution over a complex network is considered, where the dynamics of the nodes in the network is given by discrete-time Markov-chain processes. Conditions for the positioning... see more

Gia-Thuy Pham, Rémy Boyer and Frank Nielsen

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Jianyu Zhao, Shengkui Zeng, Jianbin Guo and Shaohua Du

To optimize contributions of uncertain input variables on the statistical parameter of given model, e.g., reliability, global reliability sensitivity analysis (GRSA) provides an appropriate tool to quantify the effects. However, it may be difficult to cal... see more

Roland Preuss and Udo Von Toussaint

The simulation of complex physics models may lead to enormous computer running times. Since the simulations are expensive it is necessary to exploit the computational budget in the best possible manner. If for a few input parameter settings an output data... see more

Harry J. D. Miller and Janet Anders

The Leggett-Garg inequalities serve to test whether or not quantum correlations in time can be explained within a classical macrorealistic framework. We apply this test to thermodynamics and derive a set of Leggett-Garg inequalities for the statistics of ... see more

Stelios M. Potirakis, Tomokazu Asano and Masashi Hayakawa

The perturbations of the ionosphere which are observed prior to significant earthquakes (EQs) have long been investigated and could be considered promising for short-term EQ prediction. One way to monitor ionospheric perturbations is by studying VLF/LF el... see more

Zhen Zhang, Yibing Li, Shanshan Jin, Zhaoyue Zhang, Hui Wang, Lin Qi and Ruolin Zhou

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Chenguang Shi, Fei Wang, Sana Salous and Jianjiang Zhou

In this paper, the problem of low probability of intercept (LPI)-based radar waveform design for distributed multiple-radar system (DMRS) is studied, which consists of multiple radars coexisting with a wireless communication system in the same frequency b... see more

Fuwang Wang, Hong Wang and Rongrong Fu

In present work, the heart rate variability (HRV) characteristics, calculated by sample entropy (SampEn), were used to analyze the driving fatigue state at successive driving stages. Combined with the relative power spectrum ratio ß/(? + a), subjective qu... see more

Qiang Han

As the virtual mirror of complex real-time business processes of organisations’ underlying information systems, the workflow management system (WfMS) has emerged in recent decades as a new self-autonomous paradigm in the open, dynamic, distributed computi... see more

Victor Fossaluza, Luís Gustavo Esteves and Carlos Alberto de Bragança Pereira

Measuring the dependence between random variables is one of the most fundamental problems in statistics, and therefore, determining the joint distribution of the relevant variables is crucial. Copulas have recently become an important tool for properly in... see more

Marius Nagy and Naya Nagy

This paper proposes a different approach to pinpoint the causes for which an unconditionally secure quantum bit commitment protocol cannot be realized, beyond the technical details on which the proof of Mayers’ no-go theorem is constructed. We have adopte... see more

Yi-Huan Wei

We first calculate the heat capacities of the nonlinear electrodynamics (NED) black hole for fixed mass and electric charge, and the electric capacitances for fixed mass and entropy. Then, we study the properties of the Ruppeiner thermodynamic geometry of... see more

Liang Yan, Xiaojun Duan, Bowen Liu and Jin Xu

In this paper, we examine two widely-used approaches, the polynomial chaos expansion (PCE) and Gaussian process (GP) regression, for the development of surrogate models. The theoretical differences between the PCE and GP approximations are discussed. A st... see more

Fatemeh Afghah, Abolfazl Razi, Reza Soroushmehr, Hamid Ghanbari and Kayvan Najarian

Intensive Care Units (ICUs) are equipped with many sophisticated sensors and monitoring devices to provide the highest quality of care for critically ill patients. However, these devices might generate false alarms that reduce standard of care and result ... see more

Gunal Bilek and Filiz Karaman

The aim of this paper is to investigate the factors influencing the Beck Depression Inventory score, the Beck Hopelessness Scale score and the Rosenberg Self-Esteem score and the relationships among the psychiatric, demographic and socio-economic variable... see more

Xiao Tang, Guanrong Chen and Tianxiu Lu

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Sergei V. Nemilov

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Atsumi Ohara

Recent progress of theories and applications regarding statistical models with generalized exponential functions in statistical science is giving an impact on the movement to deform the standard structure of information geometry. For this purpose, various... see more

Arnaud Marsiglietti and Victoria Kostina

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Shuping Cai, Lin Liu, Huachen Sun and Jing Yan

Weather information is an important factor in short-term load forecasting (STLF). However, for a long time, more importance has always been attached to forecasting models instead of other processes such as the introduction of weather factors or feature se... see more

Evaldo M. F. Curado and Fernando D. Nobre

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Xiaobing Zhang, Venkat Anantharam and Yanlin Geng

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