Search results for "ECs"

Models and methods for space and space-time interactions in complex point processes with applications on earthquakes

Local methods for complex spatio-temporal point processes

2022

Joint second-order parameter estimation for spatio-temporal log-Gaussian Cox processes

2018

We propose a new fitting method to estimate the set of second-order parameters for the class of homogeneous spatio-temporal log-Gaussian Cox point processes. With simulations, we show that the proposed minimum contrast procedure, based on the spatio-temporal pair correlation function, provides reliable estimates and we compare the results with the current available methods. Moreover, the proposed method can be used in the case of both separable and non-separable parametric specifications of the correlation function of the underlying Gaussian Random Field. We describe earthquake sequences comparing several Cox model specifications.

Speciālās izglītības skolotāja un pirmsskolas pedagoga sadarbība jauktu attīstības traucējumu mazināšanai 5-6 gadus veciem bērniem

2021

Darba autore: Madara Osmane Darba nosaukums: Speciālās izglītības skolotāja un pirmsskolas pedagoga sadarbība jauktu attīstības traucējumu mazināšanai 5 – 6 gadus veciem bērniem. Darba aktualitāte: Pirmsskolas pedagogi saskaras ar nopietnām problēmām, mācot bērnus ar atšķirīgām spējām vienā un tajā pašā vidē. Pirmsskolas pedagogiem trūkst teorētiskās un praktiskās zināšanas, lai varētu pēc iespējas pilnvērtīgāk un efektīvāk plānot un organizēt mācību procesu, lai arī bērns ar jauktiem attīstības traucējumiem spētu iegūtu zināšanas, atbilstoši savām spējām un attīstības līmenim. Darba mērķis: Izpētīt un teorētiski pamatot speciālās izglītības skolotāja un pirmsskolas pedagoga sadarbības nepi…

Modelli statistici per la rilevazione e l’analisi della spesa turistica

2010

An Examination of Tourist Arrivals Dynamics Using Short-Term Time Series Data: A Space—Time Cluster Approach

2013

The purpose of this study is to examine the development of Italian tourist areas ( circoscrizioni turistiche) through a cluster analysis of short time series. The technique is an adaptation of the functional data analysis approach developed by Abraham et al (2003), which combines spline interpolation with k-means clustering. The findings indicate the presence of two patterns (increasing and stable) averagely characterizing groups of territories. Moreover, tests of spatial contiguity suggest the presence of ‘space–time clusters’; that is, areas in the same ‘time cluster’ are also spatially contiguous. These findings appear to be more robust in particular for those series characterized by an…

Sport organizations and crime: indissoluble binomial? A sociological and economic analysis for possible solutions

2011

The fundamental principles which should guide the activities of football teams are contaminated by criminal phenomena that produce, as the main effect, the loss of confidence from the fans. The reasons of the crisis of credibility in the sports organizations are both economic and social. This seems paradoxical in light of the circumstances under which: under the social profile has demonstrated a negative correlation between sport and widespread crime; under economic profile, the soccer is the one sport that is characterized by consistent and staggering increases in turnover. Modern society facilitates the scenario described above, because it is fragmented and characterized by dynamic proces…

Indagine campionaria sull'attività sportiva degli studenti universitari palermitani. Aspetti sociali e motivazioni dell'abbandono.

2008

SNP and SML estimation of univariate and bivariate binary–choice models

2008

We discuss the semi-nonparametric approach of Gallant and Nychka (1987, Econometrica 55: 363–390), the semiparametric maximum likelihood approach of Klein and Spady (1993, Econometrica 61: 387–421), and a set of new Stata commands for semiparametric estimation of three binary-choice models. The first is a univariate model, while the second and the third are bivariate models without and with sample selection, respectively. The proposed estimators are root-n consistent and asymptotically normal for the model parameters of interest under weak assumptions on the distribution of the underlying error terms. Our Monte Carlo simulations suggest that the efficiency losses of the semi-nonparametric a…

The induced smoothed LASSO

2016

We propose a new lasso-type estimator of regression coefficients for regression models. Our proposal relies on the recent idea of induced smoothing and leads to estimators with sampling distribution somewhat close to the Normal one, regardless of their true value, along with the corresponding reliable covariance matrix. As a consequence inference (e.g. p-values) may be carried out relatively easily. We present results from some simulation experiments.