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Jakub Bijak

Researcher at University of Southampton

Publications -  119
Citations -  1817

Jakub Bijak is an academic researcher from University of Southampton. The author has contributed to research in topics: Population & Context (language use). The author has an hindex of 18, co-authored 114 publications receiving 1540 citations. Previous affiliations of Jakub Bijak include Economic and Social Research Council & Polish Academy of Sciences.

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Forecasting: theory and practice

Fotios Petropoulos, +84 more
- 04 Dec 2020 - 
TL;DR: A non-systematic review of the theory and the practice of forecasting, offering a wide range of theoretical, state-of-the-art models, methods, principles, and approaches to prepare, produce, organise, and evaluate forecasts.
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Population and labour force projections for 27 European countries, 2002-052: impact of international migration on population ageing: Projections de population et de population active pour 27 pays européens 2002-052: impact de la migration internationale sur le vieillissement de la population.

TL;DR: The results indicate that plausible immigration cannot offset the negative effects of population and labour force ageing, and the flux d’immigration vraisemblables ne pourront pas compenser the effets négatifs du vieillissement of the population and of celui de the population active.
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War-related Deaths in the 1992–1995 Armed Conflicts in Bosnia and Herzegovina: A Critique of Previous Estimates and Recent Results

TL;DR: In this paper, the authors provide a critique of previous estimates of war-related deaths from Bosnia and Herzegovina and propose an analytical framework and a new estimate of such deaths.
Book

Forecasting International Migration in Europe: A Bayesian View

TL;DR: In this article, the authors address from a methodological perspective a research problem, how to forecast the international migration component in a way that could be then used for population forecasts using the probabilistic approach.
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Integrated Modeling of European Migration

TL;DR: A Bayesian model is proposed to overcome the limitations of the various data sources and produces a synthetic database with measures of uncertainty for international migration flows and other model parameters from 2002 to 2008.