Search results for " Regression"
showing 10 items of 1835 documents
Assortment, but not knowledge of assortment, affects cooperation and individual success in human groups
2017
The success or failure of human collective action often depends on the cooperation tendencies of individuals in groups, and on the information that individuals have about each other's cooperativeness. However, it is unclear whether these two factors have an interactive effect on cooperation dynamics. Using a decision-making experiment, we confirm that groups comprising individuals with higher cooperation tendencies cooperate at a higher level than groups comprising individuals with low cooperation tendencies. Moreover, assorting individuals with similar cooperation tendency together affected behaviour so that the most cooperative individuals tended to cooperate more and the least cooperativ…
Forward logistic regression for earth-flow landslide susceptibility assessment in the Platani river basin (southern Sicily, Italy)
2013
Forward logistic regression has allowed us to derive an earth-flow susceptibility model for the Tumarrano river basin, which was defined by modeling the statistical relationships between an archive of 760 events and a set of 20 predictors. For each landslide in the inventory, a landslide identification point (LIP) was automatically produced as corresponding to the highest point along the boundary of the landslide polygons, and unstable conditions were assigned to cells at a distance up to 8 m. An equal number of stable cells (out of landslides) was then randomly extracted and appended to the LIPs to prepare the dataset for logistic regression. A model building strategy was applied to enlarg…
Growth curves of sorghum roots via quantile regression with P-splines
2014
Plant roots are a major pool of total carbon in the planet and their dynamics are directly relevant to greenhouse gas balance. Composted wastes are increasingly used in agriculture for environmental and economic reasons and their role as a substitute for traditional fertilizers needs to be tested on all plant components. Here we propose a regression quantile approach based on P-splines to assess, quantify and compare the root growth patterns in two treatment groups respectively undergoing compost and traditional fertilization.
Using Differential Geometry for Sparse High-Dimensional Risk Regression Models
2023
With the introduction of high-throughput technologies in clinical and epidemiological studies, the need for inferential tools that are able to deal with fat data-structures, i.e., relatively small number of observations compared to the number of features, is becoming more prominent. In this paper we propose an extension of the dgLARS method to high-dimensional risk regression models. The main idea of the proposed method is to use the differential geometric structure of the partial likelihood function in order to select the optimal subset of covariates.
Czy religia utrwala moralną niedojrzałość jednostek ludzkich czy sprzyja rozwojowi ich moralnej dojrzałości?
2022
Jako ludzie doświadczamy swojej skończoności kruchości i bezsilności. Otaczający nas świat jest nietrwały, niestabilny, ulega destrukcji, mamy w nim do czynienie z niepewnością, przemijaniem, chorobami, starością i śmiercią. Religia dostarcza systemu orientacji i oddania, który w sposób całościowy określa porządek świata i miejsce człowieka w nim, wprowadza ład w życie, daje oparcie, nadaje sens ludzkiemu istnieniu, oswaja to, co niepewne, dodaje otuchy, pozwala okiełznać lęk. To dostarczanie systemu orientacji i czci może wzmacniać pierwotne tendencje natury ludzkiej, wzmacniać trybalizm i etnocentryzm. Dzieje się tak, gdy religia spełnia głównie rolę spoiwa dla wspólnoty, a jednostka prze…
Multi-modal Image Registration Using Fuzzy Kernel Regression
2009
This paper presents a study aimed to the realization of a novel multiresolution registration framework. The transformation function is computed iteratively as a composition of local deformations determined by the maximization of mutual information. At each iteration, local transformations are joint together using fuzzy kernel regression. This technique represents the core of the mothod and it's formally described from a probabilistic perspective. It avoids blocking artifacts and allows to keep the final deformation spatially congruent and smooth. Both qualitative and quantitative experimental results show that this approach is equally effective for registering datasets acquired from both si…
The Analysis of the Digital Economy and Society Index in the EU
2019
Abstract The paper analyzes the Digital Economy and Society Index (DESI), which characterizes the development of digital economy. Based on the data of 28 European countries for 2013–2018, using the panel regression, we studied the influence of the consumption index growth by the purchasing power parity and unemployment among the active population on the structural units of DESI. It is shown that a 1% increase in the consumption index results in about 0.2 increase in the DESI, and an increase in unemployment by 1% leads to about 0.2 DESI decline. It is also shown that the 98% value of DESI is actually determined by its previous trends, and therefore it is impossible to increase this index ra…
Determination of reflectance spectra model of skin phototypes V
2012
In dermatology, skin is assessed for its response to UV light and is categorised under the Fitzpatrick skin type (FST). The FST is commonly applied as a predictor of skin cancer. The FST classification however is subjective. To enable an objective assessment, a pattern model of skin colour taken from normal subjects is required. In this paper, a model for skin phototype (SPT) V is developed and presented. We conducted an observational study involving 41 participants with FST V. The study analysed the reflectance spectra of facultative skin and constitutive skin which was captured using spectrophotometer and multispectral camera. Using piecewise linear regression, we modelled the reflectance…
Global Divergence in Growth Regressions
2013
This paper extends the standard growth regression model by adding an assumption that a country follows the global technology frontier either fully or partially. This additional assumption changes significantly the growth regression model and its results in three main ways. First, it shows that although a country converges to its long-run growth path, this path can diverge from the countries at the global frontier. We measure the degree of divergence for each country and find that most indeed diverge from the frontier. Second, we estimate growth dynamics without controlling for additional variables. Third, our new method enables us to disentangle the effects of the explanatory variables on t…
High-involvement management practices and the productivity of firms: Detecting industry heterogeneity
2020
The aim of this article is to clarify the links between high-involvement management (HIM) practices, productivity and branches of industry. The data combine a representative survey (N = 787) of private-sector firms in Finland and register-based firm-level data on sales per employee in the year following the survey. The authors analysed the data using mixture regression and identified two clusters in the association between HIM and productivity. In one cluster, high-involvement management and productivity were positively associated, while in the other cluster, the association was negative. The association between the intensity of HIM utilisation and productivity is not always additive; the b…