Prague, Czech Republic

University of Economics in Prague
Prague, Czech Republic

The Faculty of Informatics and Statistics , also known as School of Informatics and Statistics is the fourth of six faculties at University of Economics, Prague. The faculty formed in 1991, following the dissolution of the Faculty of Direction. Today, its departments focus on informatics, statistics, econometrics and other mathematical methods applied to business practice.With eight departments and several research laboratories, the faculty today hosts around 3,500 students in its Bachelor, Master and Doctoral programs. Wikipedia.

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Bina V.,University of Economics in Prague
International Journal of Approximate Reasoning | Year: 2017

The paper presents an operator of composition for densities of continuous random variables and analyzes its properties, particularly the assertions useful for marginalization, lemmata concerning the conditional independence, theorems describing entropy of the composition and assertions for reordering of composed densities in the model. The generalized function of Dirac delta is proposed as a degenerated distribution allowing the expression of operation of conditioning using the composition of Dirac delta with a continuous density or with a compositional model. A special case of composition within the exponential family of distributions is considered. © 2017 Elsevier Inc.

Jenicek V.,University of Economics in Prague
Agricultural Economics | Year: 2010

Population regulation cannot be left just to wars, epidemics and famines in future. A mutual cooperation is necessary to accept suitable measures helping to decrease, or at least to sustain, the population at the desirable level and at the same time to improve life conditions of many inhabitants of the Earth. The mankind has the necessary knowledge and means to find the right solution. The belief into a better future is the driving force of the necessary steps. A decisive role is played by the population transition. its first phase, which still prevails in some regions, started the exponential increase of the Earth population. in the second phase, the demographic revolution causes ageing of the population. At present, the world population increments are decreasing and it can be presupposed in the long run that the size of the population will stabilise. All population increments will be the matter of developing countries, while the population of the most developed countries will stagnate or, under the influence of the de-population in some countries, even slightly decrease.

Dlouhy M.,University of Economics in Prague
BMC Health Services Research | Year: 2014

Background: The objective of this international comparative study is to describe and compare the mental health policies in seven countries of Eastern Europe that share their common communist history: Bulgaria, the Czech Republic, Hungary, Moldova, Poland, Romania, and Slovakia. Methods. The health policy questionnaire was developed and the country-specific information was gathered by local experts. The questionnaire includes both qualitative and quantitative information on various aspects of mental health policy: (1) basic country information (demography, health, and economic indicators), (2) health care financing, (3) mental health services (capacities and utilisation, ownership), (4) health service purchasing (purchasing organisations, contracting, reimbursement of services), and (5) mental health policy (policy documents, legislation, civic society). Results: The social and economic transition in the 1990s initiated the process of new mental health policy formulation, adoption of mental health legislation stressing human rights of patients, and a strong call for a pragmatic balance of community and hospital services. In contrast to the development in the Western Europe, the civic society was suppressed and NGOs and similar organizations were practically non-existent or under governmental control. Mental health services are financed from the public health insurance as any other health services. There is no separate budget for mental health. We can observe that the know-how about modern mental health care and about direction of needed reforms is available in documents, policies and programmes. However, this does not mean real implementation. Conclusions: The burden of totalitarian history still influences many areas of social and economic life, which also has to be taken into account in mental health policy. We may observe that after twenty years of health reforms and reforms of health reforms, the transition of the mental health systems still continues. In spite of many reform efforts in the past, a balance of community and hospital mental health services has not been achieved in this part of the world yet. © 2014 Dlouhy; licensee BioMed Central Ltd.

Spicka J.,University of Economics in Prague
Agris On-line Papers in Economics and Informatics | Year: 2014

The mixed crop and livestock farming represents significant share in agricultural output in the Czech Republic. So, it raises questions about determinants of its production efficiency. The aim of the article is to evaluate production efficiency and its determinants of mixed crop and livestock farming among the EU regions. The DEA method with variable returns to scale (DEAVRS) reveals efficient and inefficient regions including the scale efficiency. In the next step, the two-sample t-test determines differences of economic and structural indicators between efficient and inefficient regions. The research reveals that substitution of labor by capital/ contract work positively affects income indicator Farm Net Value Added per AWU. The significant economic determinants of production efficiency in mixed type of farming are crop output per hectare, livestock output per livestock unit, productivity of energy and capital. Agricultural enterprises in inefficient regions have more extensive structure and produce more non-commodity output (public goods).

Maresova K.,University of Economics in Prague
Journal of Physical Activity and Health | Year: 2014

Several scientific studies estimate the burden of physical inactivity in different countries, yet in the Czech Republic, this kind of research is still missing. This paper represents one of the first attempts to quantify the costs of physical inactivity in the Czech Republic for 2008. Methods: The analysis, based on scientific literature review, uses the comparative risk assessment methodology and applies it on data available in the Czech Republic. Results: In 2008, the financial cost of physical inactivity to public health insurance companies was almost 700 million Kè, or 0.4%, of total healthcare costs. Furthermore, physical inactivity caused 2442, or 2.3%, of all deaths in 2008 and 18,065, or 1.2%, of all disability-adjusted life years in 2004. Conclusions: The costs of physical inactivity in the Czech Republic are considerable, yet slightly smaller than in other comparable studies. The obtained results could be used as an argument for policymakers when conceiving public or private health policy. © 2014 Human Kinetics, Inc.

Agency: European Commission | Branch: FP7 | Program: CP | Phase: ICT-2009.4.3 | Award Amount: 9.93M | Year: 2010

Over the last 3 years, the semantic web activity has gained momentum with the widespread publishing of structured data as RDF. The Linked Data paradigm has therefore evolved from a practical research idea into a very promising candidate for addressing one of the biggest challenges in the area of intelligent information management: the exploitation of the Web as a platform for data and information integration in addition to document search. To translate this initial success into a world-scale disruptive reality, encompassing the Web 2.0 world and enterprise data alike, the following research challenges need to be addressed: improve coherence and quality of data published on the Web, close the performance gap between relational and RDF data management, establish trust on the Linked Data Web and generally lower the entrance barrier for data publishers and users. With partners among those who initiated and strongly supported the Linked Open Data initiative, the LOD2 project aims at tackling these challenges by developing:\n1. enterprise-ready tools and methodologies for exposing and managing very large amounts of structured information on the Data Web,\n2. a testbed and bootstrap network of high-quality multi-domain, multi-lingual ontologies from sources such as Wikipedia and OpenStreetMap.\n3. machine learning algorithms for automatically enriching, repairing, interlinking and fusing data from the Web.\n4. standards and methods for reliably tracking provenance, ensuring privacy and data security as well as for assessing the quality of information.\n5. adaptive tools for searching, browsing, and authoring of Linked Data.\nWe will integrate and syndicate linked data with large-scale, existing applications and showcase the benefits in the three application scenarios media & publishing, corporate data intranets and e-government.

Agency: European Commission | Branch: FP7 | Program: CP | Phase: ICT-2011.1.5 | Award Amount: 8.45M | Year: 2011

TV and the Internet are going through an exciting phase of convergence, with TV being delivered on-demand via the Web while access to Web content is ever more a part of the TV experience. The European project Television Linked To The Web (LinkedTV) will bring this convergence to its fulfillment, neatly interweaving TV and Web content into a single, integrated experience. \nThe Networked Media Web is a vision of a future media landscape in which online devices are ubiquituous and media is stored in and accessed from the cloud. In this future world, television becomes just one more media source next to Web based media and other sources (e.g. home networks, shared private networks, Intranets). Citizens will choose and interact with any media at any time with any device, also switching between content easily and seamlessly. The Social TV revolution happening now shows how people want to enrich their media experience through sharing with friends and interacting during the programme. Linked TV is the next step, bringing the rich browsing experience people know already from the Web to television, enriching the access to audio-visual programming with associated content and allowing people to seamlessly delve into and browse content within the programme itself at the level of individual objects on screen or things which are mentioned or referred to. \nTo achieve this ambitious goal of uniting the television experience with the Web experience, the LinkedTV project will develop several technologies and tools to analyse and annotate audio-visual content, interlink parts of the content with other content, deliver this enriched audio-visual content via different networks to the end user and provide intuitive user interfaces on the end device to allow easy access to and browsing of related content within the programme. These technologies and tools will be prototyped and tested by a public broadcaster, national media archive and a media arts centre to enrich the TV experience in the contexts of business, environment, cultural heritage and entertainment. \nAs a result, Television Linked To The Web (LinkedTV) will provide every citizen a new, integrated, media experience which is both unlike the Web as we know it today and television as we know it today, yet combining the best of both: quality on-demand audio-visual material enriched with links to other content which is easily accessed and enhancing our networked media experience.

Agency: European Commission | Branch: FP7 | Program: CSA | Phase: ICT-2011.4.2 | Award Amount: 3.05M | Year: 2012

The goal of LT-Web is to set the foundation for the integration of language technologies into core Web technologies, via the creation of a standard defining three kinds of metadata about: 1) information in Web content being relevant for language technology processing; 2) processes for creating Web content via localisation and content management work flows; 3) language technology applications and resources used in these applications. The organizations participating in LT-Web will join the World Wide Web Consortium (W3C) and create a group defining the metadata standard, within the Internationalization Activity of W3C.\nUsing the credibility and outstanding position of W3C, LT-Web will create broad consensus across communities, involving producers of content, localization workers, language technology experts, browser vendors and users. W3C will help to establish a network between stakeholders in these communities, to ensure the long-term adoption of the metadata standard and future opportunities for integrating language technologies and emerging Web technologies. Finally, LT-Web will lay the technical foundations for new business opportunities, to reach out to a growing linguistic and cultural diversity of Web users in the European Union and its trade partners, and to respond to their specific needs in a timely and cost-effective manner.

Agency: European Commission | Branch: FP7 | Program: CP-IP | Phase: SSH.2013.1.2-1 | Award Amount: 6.38M | Year: 2014

The multi-disciplinary CUPESSE project carries out a comparative analysis of both the demand and supply side of youth unemployment in ten Member States of the EU and Associated Countries (i.e. Austria, Czech Republic, Denmark, Germany, Hungary, Italy, Spain, Switzerland, Turkey, and the United Kingdom). These ten countries represent the main empirical scope of the project, but whenever possible, the analysis is extended to include all European countries. CUPESSE has five main objectives. The first objective is to obtain a more refined understanding of the supply side of young adults employment by concentrating on how the inter-generational accumulation of social capital and cultural capital in the context of family organisation influences the economic self-sufficiency and entrepreneurship of young people in Europe. The second objective is to examine how supply-side factors and demand-side factors affect the unemployment of young adults. In this context we are particularly interested in the degree to which the attitudes and skills of young adults match with employers demands. The third objective is to understand the implications of young adults unemployment in the longer term, including the effects on the unemployed individuals and on society as a whole. The fourth objective is to investigate the degree to which flexicurity policies, policies supporting business start-ups and self-employment, and policies promoting education and training platforms are embraced by the European states and to assess their impacts on young adults unemployment. The fifth objective of the CUPESSE project is to present ideas for new policy measures and formulate strategy for overcoming youth unemployment in Europe. To attain this goal, the project brings together theoretical perspectives and methodological approaches from four academic disciplines, namely economics, political science, psychology, and sociology.

Agency: European Commission | Branch: H2020 | Program: IA | Phase: INSO-1-2014 | Award Amount: 3.06M | Year: 2015 will provide an open-source software framework and accompanying Software-As-A-Service (SAAS) platform for supporting financial transparency, thus enhancing accountability within public sectors, and as a result preventing corruption. A key challenge addressed by is to provide a multi-stakeholder framework which is scalable, easy-to-use, flexible and attractive. The core objectives of project are: * A semantic data model, which will be used to integrate all relevant budget and transaction data, giving a pre-defined structure to the input data. This will enable the integration of data from different public sectors at different levels. This integration can then be exploited by comparing different datasets. * A library of visualisation tools with a user-friendly interface, which will enable stakeholders to visualise available data in different granularity and in different modalities (spatial, temporal, administrative). These tools will enable the scrutiny of data under different lenses, enabling stakeholders to explore any relevant budget allocation. * A library of data mining and comparative analysis tools. This library will enable the aggregation of existing data in order to obtain new outcomes and discover trends and patterns, and potentially forecasting budget measures. * A feedback and citizen engagement interface which enables users to discuss and give feed-back on the provided data, for example, suggesting different priorities for budgeting, or discussing a particular transaction. The open-source framework and portal will integrate these components into a comprehensive portal. The framework will be deployed as a software-as-a-service for thousands of public administrations and millions of citizens. We will apply the project concept to three large-scale pilot scenarios in the domains participatory budgeting, data journalism and corruption prevention.

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