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Random indexing (RI) is a lightweight dimension reduction method, which is used, for example, to approximate vector semantic relationships in online natural language processing systems. Here we generalise RI to multidimensional arrays and therefore enable approximation of higher-order statistical relationships in data. The generalised method is a sparse implementation of random projections, which

The rapid integration of physical systems with cyberspace infrastructure, the so-called Internet of Things, is likely to have a significant effect on how people interact with the physical environment and design information and communication systems. Internet-connected systems are expected to vastly outnumber people on the planet in the near future, leading to grand challenges in software engineeri

The traditional way of teaching may no longer be sufficient to cope with current requirements specifically in the Internet of Things (IoT) domain. The case for this paper is related to an introductory programming course on JavaScript for the period of 2016-2018. In this study a multi-method approach for data collection is utilized. Project-Based Learning (PBL), Scrum and rapid prototyping are util

The pyISC is a Python API and extension to the C++ based Incremental Stream Clustering (ISC) anomaly detection and classification framework. The framework is based on parametric Bayesian statistical inference using the Bayesian Principal Anomaly (BPA), which enables to combine the output from several probability distributions. pyISC is designed to be easy to use and integrated with other Python li

IntroductionImmigrant children are often challenged at school. School performance is an important predictor of future socioeconomic position and mental and physical health. While studies have investigated parental mental disorders as a potential factor for poor school performance, no studies have investigated this among children with foreign-born parents, i.e., second-generation immigrant children

This CMES Regional Outlook by Pinar Dinc focuses on the recent political developments in Turkey.

The classic statistical method for modelling the rates and proportions is the beta regression model (BRM). The standard maximum likelihood estimator (MLE) is used to estimate the coefficients of the BRM. However, this MLE is very sensitive when the regressors are linearly correlated. Therefore, this study introduces a new beta ridge regression (BRR) estimator as a remedy to the problem of instabil

This paper considers the estimation of parameters for the Poisson regression model in the presence of high, but imperfect multicollinearity. To mitigate this problem, we suggest using the Poisson Liu Regression Estimator (PLRE) and propose some new approaches to estimate this shrinkage parameter. The small sample statistical properties of these estimators are systematically scrutinized using Monte

Due to the large amount of accidents negatively affecting the wellbeing of the survivors and their families, a substantial amount of research is conducted to determine the causes of road accidents. This type of data come in the form of non-negative integers and may be modelled using the Poisson regression model. Unfortunately, the commonly used maximum likelihood estimator is unstable when the exp

This paper introduces Parameter Estimation by Raw Moments (PERM), a flexible method for evaluating a policy’s impact on the parameters of an outcome distribution. Such parameters include the variance (E[Y2]−E[Y]2), skewness and covariance of two outcomes. PERM simplifies distributional analysis by first separately estimating higher-order moment treatment effects (e.g., E[Y2]), then combining these

This paper examines seasonal migrant farmworkers in Turkey, focusing on the intersection of relations of production and social reproduction under rapidly shifting land and labour regimes. The workers are predominantly Kurds and Arabs of Turkey and Syrian refugees, and experience the intersecting crises of neoliberalism, rural-urban migration and conflict/disaster displacement in amplified ways. Wi

Accelerated deterioration of the constituting materials is important for the long-term performance of bridges or any other load-bearing structure with several-decades-long service life. In addition to the economic consequences due to increased maintenance and repair needs, severe deterioration can lead to catastrophic collapses with possible injuries, life losses, and impairments to infrastructure

This chapter explores the interrelationship between neoliberalism and economic inequality through a comparison of Denmark, Finland, Norway and Sweden, using Sweden as a main case and the other three major Nordic countries as comparative cases. The argument is that the relationship between neoliberalism and inequality isn’t a one-way street, but rather a question of mutual determination. NeoliberalThis chapter explores the interrelationship between neoliberalism and economic inequality through a comparison of Denmark, Finland, Norway and Sweden, using Sweden as a main case and the other three major Nordic countries as comparative cases. The argument is that the relationship between neoliberalism and inequality isn’t a one-way street, but rather a question of mutual determination. Neoliberal