Spatio-temporal models for georeferenced unemployment data

Spatio-temporal knowledge discovery from georeferenced mobile phone data

Dynamic Models for Spatio-Temporal Data

We propose a model for nonstationary spatio-temporal data. To account for spatial variability, we model the mean function at each time period as a locally-weighted mixture of linear regressions. To incorporate temporal variation, we allow the regression coefficients to change through time. Krigingbased variogram models can also be also incorporated when the process is highly localized in space....

Spatio - temporal dynamics in Swiss regional unemployment

It is generally accepted that regional labor markets are characterized by strong interdependencies. However, only few studies include spatial elements to their estimations. Using the model framework proposed by Cliff and Ord (1973, 1981) and the estimation technique proposed by Kelejian and Prucha (1998), we estimate a spatial time series model for the Swiss cantonal unemployment rates on a qua...

Generalized Additive Models with Spatio-temporal Data

Generalized additive models (GAMs) have been widely used. While the procedure for fitting a generalized additive model to independent data has been well established, not as much work has been done when the data are correlated. The currently available methods are not completely satisfactory in practice. A new approach is proposed to fit generalized additive models with spatio-temporal data via t...

a new approach to credibility premium for zero-inflated poisson models for panel data

هدف اصلی از این تحقیق به دست آوردن و مقایسه حق بیمه باورمندی در مدل های شمارشی گزارش نشده برای داده های طولی می باشد. در این تحقیق حق بیمه های پبش گویی بر اساس توابع ضرر مربع خطا و نمایی محاسبه شده و با هم مقایسه می شود. تمایل به گرفتن پاداش و جایزه یکی از دلایل مهم برای گزارش ندادن تصادفات می باشد و افراد برای استفاده از تخفیف اغلب از گزارش تصادفات با هزینه پائین خودداری می کنند، در این تحقیق ...