Catalogo Ricerca UniTERAMO

Catalogo Ricerca UniTERAMO: [25606] Home page macrotipologia

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1 Contributo su Rivista 12561
- 1.1 Articolo in rivista 11010
- 1.2 Recensione in rivista 788
- 1.3 Scheda bibliografica 45
- 1.4 Nota a sentenza 490
- 1.5 Abstract in rivista 205
- 1.6 Traduzione in rivista 23

2 Contributo in Volume 6366

3 Libro 1008

4 Contributo in Atti di Convegno (Proceeding) 4518
- 4.1 Contributo in Atti di convegno 2774
- 4.2 Abstract in Atti di convegno 1128
- 4.3 Poster 616

5 Altro 507
- 5.01 Composizione 2
- 5.02 Disegno 0
- 5.03 Design 0
- 5.04 Performance 1
- 5.05 Esposizione 7
- 5.06 Mostra 1
- 5.07 Manufatto 0
- 5.08 Prototipo d'arte e relativi progetti 0
- 5.09 Cartografia 0
- 5.10 Banca dati 6
- 5.11 Software 5
- 5.12 Altro 340
- 5.13 Tesi di Dottorato (No Miur) 145
- 5.14 Progetto architettonico 0

6 Brevetti 20
- 6.1 Brevetto 20

7 Curatele 626
- 7.1 Curatela 626

Prodotti recenti

Preliminary development of an LC-HRMS screening method for fluorinated organic contaminants in eggs

Molecular and epigenetic profiling of BDNF and CNR1 in bipolar disorder: towards minimally invasive biomarkers for diagnosis and stratification

Does increasing the retirement age increase youth unemployment? Evidence from an agent-based macro model

In recent years, several OECD countries have tackled the problem of the fiscal sustainability of their pension systems by increasing the statutory retirement age, although many fear that such policies may reduce job opportunities for the young in favor of older workers. In this paper, we test such a hypothesis using an agent-based macro model suitable for the analysis of issues related to demography. Results from a number of computational experiments show that in the long run, old workers do ...

The (relative) importance of the attack in the game of football: evidence from a team-level study of Italian Serie A

Calibration of Agent-Based Models by Means of Meta-Modeling and Nonparametric Regression

Taking agent-based models to the data is still very challenging for researchers. In this paper we propose a new method to calibrate the model parameters based on indirect inference, which consists in minimizing the distance between real and artificial data. Basically, we first introduce a nonparametric regression meta-model to approximate the relationship between model parameters and distance. Then the meta-model is estimated by local polynomial regression estimation on a small sample of para...

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