ICOMS

The pancake graph has served as a model for real-world networks due to its unique recursive and symmetric properties. Defined as the Cayley graph on the symmetric group of order n generated by prefix reversals, the n-pancake graph exhibits a rapid ...

This paper provides a systematic and comprehensive treatment for obtaining expressions of any order, for the moments and cumulants for Student’s t-distribution and for generalized Student’s. These expressions can be written in terms of the familiar ...

Based on the official statistics, combined with the results of the seventh national census in 2020, this research uses Leslie model to predict the medium and long term population in Beijing. This paper carefully discusses the aging trend and future ...

The single particle model (SPM) is widely recognized as a fundamental physical-based battery model commonly employed in contemporary battery management systems. Its origins can be traced back to a seminal paper by Zhang et al. However, despite its ...

In this paper, we show that the halfspace depth random variable for samples from a univariate distribution with a notion of center is distributed as a uniform distribution on the interval [0, 1/2]. The simplicial depth random variable has a distribution ...

Given ℕ, choose a number randomly. Evens are chosen without replacement and odds are chosen with replacement. Repeat this process for as many times as there are naturals. Assess the expected value for the probability even in the resultant set. Then ...

Structural relationship models describe a semi-parametric relationship between two distribution functions such as location-scale or Lehmann alternative models. The relationship is determined by some structural relationship parameter h. Our aim is to ...

The insurance industry is a fast-growing industry and handles substantial amounts of data. Fraudulent claims are the main problem in the industry. Auto insurance fraud is one of the most prominent types of insurance fraud. Numerous fraudulent claims ...

To forecast successfully financial time series data is not a trivial task. This type of data is characterized by internal complexity, high volatility and hidden stochastic dependencies. The factors that determines the values of the considered time series ...

In this paper, we draw connections between second-order stochastic dominance (SSD), CVaR risk, and weak sub-majorization for empirical observations of random variables, where many other known equivalences and extensions can be made. As an application, ...

In this article, we suggest a way how to quantify the sensitivity of a data model w.r.t. training data at a certain input by using a derived model having a single data point as artificial parameter, and we relate our definition of sensitivity w.r.t. ...

Research and market analysts have been following the liquidity and volatility risk microstructures of stock markets with interest. Both types of risks have a significant impact on asset returns and exhibit a high level of persistence in various ways, ...

Data visualization plays a crucial role in understanding complex datasets. However, traditional data visualization methods often fall short of engaging non-professionals and providing immersive experiences. This drawback can make it challenging and less ...

Patient enrolment is a critical step in the conduct of clinical trials and it’s important to efficiently forecast enrolment to ensure that trials are completed on time and within budget.

We present an analytic methodology for forecasting patient ...

Recent studies have shown that gut microbiome is associated with colorectal cancer (CRC) progression and anti-cancer therapy efficacy. This study aims to optimize the ridge, elastic net, and lasso regularized generalized linear models (GLM), widely used ...

Gait analysis has become an important tool in clinical practice for monitoring disease progression and evaluating therapeutic interventions. However, a subject's gait characteristics can be affected by physical characteristics such as age and height, ...

Disability has always been a focal point for stigmatization, prejudice, and discrimination. But most of the studies relating to disabilities rely on the medical paradigm of impairment which is inadequate to capture the modern realities of PWDs. Work ...

In this paper, we address the Bernstein expansion of rational polynomial continuous dynamical systems over simplices. We consider rational Lyapunov functions and controllers both expanded into rational Bernstein form. Rational control functions are ...

Options, as financial derivatives, play a crucial role in hedging against financial risks in global markets. The pricing of options has been a topic of extensive research, particularly for high-dimensional options. Traditional methods such as the ...

Recently, Rim [16, 17] suggested an exact Dirichlet-to-Neumann (DtN) artificial boundary condition to study the three-dimensional wave diffraction for horizontally-unlimited water domain of finite-depth. This paper focuses on water wave motion over ...

In this work, a novel framework for the evaluation of individual football (soccer) players using event stream data is introduced. Applying a debiased machine learning approach (DML), we estimate the contribution of players to a possession sequence, i.e. ...

Ship outfitting pallet sorting operation is an important part of outfitting pallet management, and its schedule often needs to be adjusted due to urgent jobs. In order to achieve a fast response to urgent jobs while minimizing system disturbances, this ...

In this contribution, the evaluation of the data-driven system identification and dimensionality reduction algorithm Dynamic Mode Decomposition with Control is presented for cascaded electrical circuits. By approximating the systems behavior in terms of ...