Search Results - subject:"Large Datasets"

Kapetanios, George; Zikes, Filip - In: Economics letters 169 (2018), pp. 1-6

Persistent link: https://www.econbiz.de/10012019554

Sparse partial least squares in time series for macroeconomic forecasting

Fuentes, Julieta; Poncela, Pilar; Rodríguez, Julio - Departamento de Estadistica, Universidad Carlos III de … - 2012

Factor models have been applied extensively for forecasting when high dimensional datasets are available. In this case, the number of variables can be very large. For instance, usual dynamic factor models in central banks handle over 100 variables. However, there is a growing body of the...

Persistent link: https://www.econbiz.de/10010561330

Modelling, representation and implementation of imperfect information for an enhanced exploration of large databases

Jandoubi, Sabrine; Bahri, Afef; Ayadi, Nadia Yacoubi; … - In: Journal of decision systems 26 (2017) 2, pp. 152-169

Persistent link: https://www.econbiz.de/10011703196

Are more data always better for factor analysis? Results for the euro area, the six largest euro area countries and the UK

Caggiano, Giovanni; Kapetanios, George; Labhard, Vincent - In: Journal of Forecasting 30 (2011) 8, pp. 736-752

Factor-based forecasting has been at the forefront of developments in the macroeconometric forecasting literature in the recent past. Despite the flurry of activity in the area, a number of specification issues such as the choice of the number of factors in the forecasting regression, the...

Persistent link: https://www.econbiz.de/10010990716

The use of 'large scale datasets' in UK social care research

Hussein, Shereen - London School of Economics (LSE) - 2011

This methods review sets out knowledge about current uses and applications of large datasets for research in adult … different large datasets such as the General Social Care Council, the Census, the Labour Force Survey, governmental and hospital … different large datasets to enable quantitative and statistical examination of the research questions considered. It discusses …

Persistent link: https://www.econbiz.de/10010745676

Improving Efficiency of K-Means Algorithm for Large Datasets

Swapna, Ch. Swetha; Kumar, V. Vijaya; Murthy, J.V.R - In: International Journal of Rough Sets and Data Analysis … 3 (2016) 2, pp. 1-9

very appreciable in terms of time of computation for large datasets. Several modifications have been made by researchers to … address this issue. This paper proposes a novel way of handling the large datasets using K-means in a distributed manner to …

Persistent link: https://www.econbiz.de/10012047351

In-sample inference and forecasting in misspecified factor models

Carrasco, Marine; Rossi, Barbara - In: Journal of business & economic statistics : JBES ; a … 34 (2016) 3, pp. 313-338

Persistent link: https://www.econbiz.de/10011691438

Structural analysis with Multivariate Autoregressive Index models

Carriero, Andrea; Kapetanios, George; Marcellino, … - In: Journal of econometrics 192 (2016) 2, pp. 332-348

Persistent link: https://www.econbiz.de/10011704654

Predicting Finnish economic activity using firm-level data

Fornaro, Paolo - In: International journal of forecasting 32 (2016) 1, pp. 10-19

Persistent link: https://www.econbiz.de/10011596317

Exploiting the monthly data flow in structural forecasting

Giannone, Domenico; Monti, Francesca; Reichlin, Lucrezia - In: Journal of monetary economics 84 (2016), pp. 201-215

Persistent link: https://www.econbiz.de/10011709686