Eugene Pinsky

• Doctor of Philosophy
• Associate Professor of Practice at Boston University Metropolitan College, Boston, USA

In recent years, there has been an increased interest in using the mean absolute deviation (MAD) around the mean and median (the L 1 norm) as an alternative to standard deviation σ (the L 2 norm). Till now, the MAD has been computed for some distributions. For other distributions, expressions for mean absolute deviations (MADs) are not available no...

This paper presents an approach to index portfolio re-balancing, focusing on the median slice of asset performance instead of the more traditional focus on “winners” and “losers.” In the proposed approach, one constructs an equal-weight portfolio from the index’s median (by returns) component. We consider the Dow Jones Industrial Average (DJIA) as...

This paper examines an intersection between innovation and environmental, social, and governance (ESG) initiatives in enterprise management just before and after a time of market meltdown and resurgence from 2019 to 2022. Specifically, we focus on how ESG activities reveal patterns of innovation that can assist companies in excelling. ESG scores re...

In the dynamic landscape of entrepreneurship, understanding the intricate factors that influence startup success is vital for investors, policymakers, and entrepreneurs alike. This chapter presents a meticulous analysis of a curated dataset, delving into the prediction of startup success based on various key features. Employing advanced data analys...

. It is typically assumed that for the successful use of machine learning algorithms, these algorithms should have a higher accuracy than a human expert. Moreover, if the average accuracy of ML algorithms is lower than that of a human expert, such algorithms should not be considered and are counter-productive. However, this is not always true. We p...

The goal of this study was to differentiate between two hypotheses regarding syntactic-language comprehension deficits in autistic adults. One hypothesis suggests a persistent, age-independent barrier, such as sound hypersensitivity or social avoidance, which may hinder acquisition of syntax throughout life. Another hypothesis proposes an age-depen...

The Pareto distribution is commonly used to represent situations where a small portion of the population controls a disproportionately large share of resources, such as income or wealth distribution. Our study analyzed the Forbes Billionaire List from 2001 to 2023 by fitting it to a Pareto distribution using the Maximum Likelihood Estimation (MLE)....

In this paper, we introduce a MAD (about mean) alternative metric to classical kurtosis. Using the formula for mean absolute deviation, we identify two special points and construct the corresponding distributions with these reference points as their means. The proposed alternative is computed from mean absolute deviations for these distributions. T...

This research paper aims to present an extensive analysis of Large-cap class-A mutual funds spanning a period of 25 years. Using this historical data, the study presents the readers with the observed patterns and trends in these mutual funds. The data has been sourced from two major data repositories for mutual fund and finance data-WRDS (Wharton R...

It is typically assumed that for the successful use of machine learning algorithms, these algorithms should have higher accuracy than a human expert. Moreover, if the average accuracy of ML algorithms is lower than that of a human expert, such algorithms should not be considered and are counter-productive. However, this is not always true. We provi...

The task of company classification is traditionally performed using established standards, such as the Global Industry Classification Standard (GICS). However, these approaches heavily rely on laborious manual efforts by domain experts, resulting in slow, costly, and vendor-specific assignments. Therefore, we investigate recent natural language pro...

Typical children demonstrate nearly constant syntactic language learning-rate, as measured by a parent-reported Mental Synthesis Evaluation Checklist (MSEC), from 2 to 6 years of age and reach the ceiling MSEC score around 8 years of age ¹ . In this study we report syntactic language learning-rate (measured as MSEC score change per year) in 15,183...

Due to global warming, sharks are moving closer to the beaches, affecting the risk to humans and their own lives. Within the past decade, several technologies were developed to reduce the risks for swimmers and surfers. This study proposes a robust method based on computer vision to detect sharks using an underwater camera monitoring system to secu...

Triangular distributions are widely used in many applications with limited sample data, business simulations, and project management. As with other distributions, a standard way to measure deviations is to compute the standard deviation. However, the standard deviation is sensitive to outliers. In this paper, we consider and compare other deviation...

We propose a simple set of probability density shape metrics with intuitive interpretability and complement the Classical statistical metrics of Variance, Skewness, and Kurtosis. These Classical metrics involve squaring of deviations and computation of third and fourth moments. Therefore, they may be overly sensitive to outliers. Therefore, we take...

We examine patterns and dynamics of M&A occurrence with attention to three crises or instances of economic disruption—the dot.com bubble, the global financial crisis, and, for future evaluation, the covid-19 global pandemic—while also taking potential CEO demographic (e.g., age) and outcome (e.g., compensation) factors into consideration. Specifica...

Over the past few decades, advertising has undergone significant evolution, with online advertising now the most widely used form to reach potential audiences globally. Advertisers face the challenge of targeting the right audience through media channels while working within limited budgets. However, campaigns often attract small audiences, which h...

In classical probability and statistics, one computes many measures of interest from mean and standard deviation. However, mean, and especially standard deviation, are overly sensitive to outliers. One way to address this sensitivity is by considering alternative metrics for deviation, skewness, and kurtosis using mean absolute deviations from the...

In recent years, natural language processing (NLP) has become increasingly important in a variety of business applications, including sentiment analysis, text classification, and named entity recognition. In this paper, we propose an approach for company classification using NLP and zero-shot learning. Our method utilizes pre-trained transformer mo...

We present a methodology for using machine learning for planning treatments. As a case study, we apply the proposed methodology to Breast Cancer. Most of the application of Machine Learning to breast cancer has been on diagnosis and early detection. By contrast, our paper focuses on applying Machine Learning to suggest treatment plans for patients...

This paper presents a global statistical analysis of the RNA-Seq results of the entire Mus musculus genome. We explain aging by a gradual redistribution of limited resources between two major tasks of the organism: its self-sustenance based on the function of the housekeeping gene group (HG) and functional differentiation provided by the integrativ...

In this paper, we continue statistical analysis of RNA-Seq results of the whole genome of Mus musculus during their lifetime. We propose that the implementation of the developmental program by cells and their transition to the active performance of functions is the main mechanism of aging. The data obtained confirm the basis of our ideas that the t...

Ice hockey is among the top 10 sports in the world by global popularity, and the National Hockey League (NHL) is one of the major professional sports leagues in United States and Canada. In the NHL there are 32 teams, 25 in the U.S. and 7 in Canada. In ice hockey, the goaltender, also known as the goalie, is one of the most important players in the...

Portfolio construction is an important practical problem in finance. In the traditional approach, introduced by Markowitz, one assumes normally distributed returns and constructs a portfolio with a minimum risk (measured by the standard deviation of portfolio returns) for a specified (and minimally acceptable) return. In practice, returns are not n...

One of the main challenges in the practical application of machine learning is to explain its solutions to a human specialist. We propose an approach to explaining the local solution of a machine, based on comparing the case under study with the “nearby” case to it when the machine makes an alternative solution. We are looking at various possibilit...

Based on a meta-analysis of human genome methylation data, we tested a theoretical model in which aging is explained by the redistribution of limited resources in cells between two main tasks of the organism: its self-sustenance based on the function of the housekeeping gene group (HG) and functional differentiation, provided by the (IntG) integrat...

In this paper we present an approach to creating Bi-directional Decision Support System (DSS) as an intermediary between an expert (U) and a machine learning (ML) system for choosing an optimal solution. As a first step, such DSS analyzes the stability of expert decision and looks for critical values in data that support such a decision. If the exp...

Smartwatch battery limitations are one of the biggest hurdles to their acceptability in the consumer market. To our knowledge, despite promising studies analyzing smartwatch battery data, there has been little research that has analyzed the battery usage of a diverse set of smartwatches in a real-world setting. To address this challenge, this paper...

A new mean-value type of algorithm is developed for analyzing multi-facility blocking models with state-dependent arrival rates. It can be applied to a broad class of blocking systems with simultaneous resource possession including, for example, circuit-switched networks. The underlying recursion is cast in terms of blocking probabilities and margi...

Single-hop and multi-hop wavelength division multiplex (WDM) access systems have been proposed to take advantage of the large bandwidth available in lightwave mediums. In such systems, there are one or several transmitters and receivers at each node in the network. The receivers and transmitters may be tunable or set at particular wavelengths. The...

Three new decomposition methods are developed for the exact analysis of stochastic multi-facility blocking models of the product-form type. The first is a basic decomposition algorithm that reduces the analysis of blocking probabilities to that of two separate subsystems. The second is a generalized M-subsystem decomposition method. The third is a...

Presents simple recursive algorithms for computing call and time congestion in the classical Engset model with M sources and N servers. The first recursion has the complexity of O(MN) and gives the blocking probabilities for all intermediate values of M and N. The second recursion assumes a particular value of M and has the complexity of O(N). It g...

One of the most promising approaches to building high speed networks and distributed multiprocessors is the use of optical interconnections. The basic component of such a system is a switch (interconnection network) that has a capacity of interconnecting a large number of inputs to outputs. In this paper we present an analysis of an N 1 x N 2 async...

We present a simple non-iterative computational procedure for approximating the Erlang loss function B(N,ρ). It is applicable to the practical range 10 -5 <B(N,ρ)<10 -1 and gives results that are within 10% of the exact values. The formula can be computed on a pocket calculator in constant time and could be used to approximately compute B(N,ρ) for...

A general-purpose decomposition method is formulated for the exact analysis of blocking probabilities in multirate circuit-switched networks. The procedure is based on a decomposition and aggregation technique that exploits the sparsity that can be found in the routing matrix of a network. Use is also made of a recursive algorithm developed by the...

In this paper, we develop two new general purpose recursive algorithms for the exact computation of blocking probabilities in multi-rate product-form circuit-switched networks with fixed routing. The first algorithm is a normalization constant approach based on the partition function of the state distribution. The second is a mean-value type of alg...

An abstract is not available.

In this paper, we develop a new general-purpose recursive algorithm for the exact computation of blocking probabilities in multi-facility blocking models with some forms of state-dependent arrival rates. The recursion is cast in terms of the partition function of a product-form model. A dynamic scaling procedure is also proposed to avoid numerical...

The authors introduce a tool, called Ensemble, which uses algorithms and heuristics to analyze large circuit switched networks. This tool could be used to address the following topics: the quantification of interference when an established circuit blocks some other connection requests; how the routes used affect the performance of the network; how...

The quasi-optimal maximum packing policy which gives the lowest blocking rates for dynamic channel assignment is considered. The authors formulate the stochastic model and apply an efficient approximation to compute the performance measures. The authors have previously shown that the analysis of a stochastic model of a maximum packing policy is equ...

We propose to use tools and methods of statistical mechanics to introduce a unified computational approach to analyze the performance of large-scale computing systems. Just as in statistical physics, we desire a small amount of “macroscopic” information about the system (“thermo-dynamic”) averages (e.g. average concurrency, through-put, blocking ra...

In a circuit-switched network, an accepted call blocks other connection requests. How could one quantify this interference? How do the routes used affect the performance of the network? How much should one “charge” each connection to maintain a predetermined revenue? What is the effect of a load change in some connection requests on the overall net...

A model is considered which has several classes of customers arriving in independent Poisson processes at a multiserver facility and requiring a specific number of servers for a random period of time (arbitrarily distributed with a finite mean). If these servers cannot be provided, the customers are cleared. The problem is to determine the blocking...

The problem of analyzing distributed systems arises in many areas of computer science, such as communication networks, distributed data bases, packet radio networks, VLSI communications and switching mechanisms. Analysis of distributed systems is difficult since one must deal with many tightly-interacting components. For the stochastic models of th...