Filetype
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
Introduction: Elevated pulmonary vascular resistance (PVR) is observed in both physiological and pathological states. Pulmonary hypertension (PH) is a condition associated with significant morbidity and mortality in neonates and children and curative pharmacotherapy is lacking in most cases. In utero, a high PVR allows for blood to bypass the lungs through the open ductus arteriosus (DA). Vascular
Nitrous oxide (N2O) is the most important stratospheric ozone-depleting agent based on current emissions and the third largest contributor to increased net radiative forcing. Increases in atmospheric N2O have been attributed primarily to enhanced soil N2O emissions. Critically, contributions from soils in the Northern High Latitudes (NHL, >50°N) remain poorly quantified despite their exposure to r
Isolation and characterization of circulating tumor cells (CTCs) present a noninvasive alternative to monitor disease progression in individual patients. However, the heterogeneous lineage specificity of CTCs makes it difficult to isolate and identify possible CTCs by a liquid biopsy. Better label-free methods for the isolation of viable CTCs are needed. Our solution is a combined approach that is
Purpose: Small-bites suturing technique for laparotomy closure is now recommended as the standard of care. However, uptake of the practice remains slow. A medical technology called the SutureTOOL has been developed which can facilitate implementation of small-bites. The aim of the study was to compare the economic and clinical outcomes of laparotomy closure for patients using manual needle-driver
Galaxies are complex objects, yet the number of independent parameters to describe them remains unknown. We present here a non-parametric method to estimate the intrinsic dimensionality of large data sets. We apply it to wide-band photometric data drawn from the COSMOS2020 catalogue and a comparable mock catalogue from the HORIZON-AGN simulation. Our galaxy catalogues are limited in signal-to-nois
