We revisit the generalized hyperbolic (GH) distribution and its nested models. These include widely used parametric choices like the multivariate normal, skew‐t$$ t $$, Laplace, and several others. We also introduce the multiple‐choice LASSO, a ...

All-optical circuit-switched (OCS) core is the holy grail for the future generation datacenter architectures. However, such proposals consist of a common operational abstraction termed as round-robin circuit scheduling, which heavily suffers from a) high ...

A straightforward approach to handling missing values is dropping incomplete records from the dataset. However, for many forms of missingness, this method is known to affect the center and spread of the data distribution. In this paper, we perform ...

Reinforcement learning as autonomous learning is greatly driving artificial intelligence (AI) development to practical applications. Having demonstrated the potential to significantly improve synchronously parallel learning, the parallel computing ...

Statistical significance tests are the main tool that IR practitioners use to determine the reliability of their experimental evaluation results. The question of which test behaves best with IR evaluation data has been around for decades, and has seen ...

Benchmarks have always been one of the greatest assets in evaluating a Data Management System (DBMS) performance and providing a standard way to compare different DBMSs from various angles. As DBMSs evolve over time, new benchmarks are created, and the ...

It would be hard to deny the importance of fuzzy number ranking in fuzzy-based applications. The definition of fuzzy ranking, however, evades an easy description due to the overlapping of fuzzy sets. While many researchers have addressed this subject, ...

Radio Frequency Interference (RFI) souces are degrading scientific data retrieval from the measurements of synthetic aperture interferometric microwave radiometers. Detecting whether a given snapshot has been contaminated by RFI is a key step for users ...

Previous empirical studies find that lottery-like stocks significantly underperform their non-lottery-like counterparts. Using five different measures of the lottery features in the literature, we document that the anomalies associated with these measures ...

Various researches in image steganography focusing on spatial domain specifically in the least Significant Bit (LSB) embedding method had been conducted to improve the embedding capacity while maintaining high imperceptibility. However, these ...

The wide range of models needed to support the various short-term operations for electricity generation demonstrates the importance of accurate specifications for the uncertainty in market prices. This is becoming increasingly challenging, since hourly ...

A common descriptive statistic in cluster analysis is the R² that measures the overall proportion of variance explained by the cluster means. This note highlights properties of the R² for clustering. In particular, we show that generally the R² can be ...

Use of information networks by extremist groups to advance their totalitarian objectives is becoming a serious concern for global peace. The use of information networks is just one dimension; the other dimension and potentially more concerning is the ...

We develop and implement linear formulations of convex stochastic dominance relations based on decreasing absolute risk aversion DARA for discrete and polyhedral choice sets. Our approach is based on a piecewise-exponential representation of utility and ...

The gamma distribution, which is a member of Pearson Type III family of distributions, is one of the most commonly used distribution in engineering applications since it can be used as a probability model for positive data sets exhibiting various ...

We present a new technique for comparing models using a median form of cross-validation and least median of squares estimation MCV-LMS. Rather than minimizing the sums of squares of residual errors, we minimize the median of the squared residual errors. ...

We revisit the model proposed by Gollier and Muermann [Gollier C, Muermann A 2010 Optimal choice and beliefs with ex ante savoring and ex post disappointment. Management Sci. 568:1272--1284; hereafter, GM]. In the GM model, for a given lottery, agents ...

A method for computing forward-looking market risk premium is developed in this paper. We first derive a theoretical expression that links forward-looking risk premium to investors' risk aversion and forward-looking volatility, skewness, and kurtosis of ...

In this paper, we introduce a new approximation for estimating the dynamics of multiserver queues with abandonment. The approximation involves a four-dimensional dynamical system that uses the skewness and kurtosis of the queueing distribution via the Gram ...

Reducing service cost has been a popular topic in recent studies on cloud storage systems. One of the basic techniques is to power down parts of service nodes. However, it will reduce the availability of data objects, which is the overriding concern of ...