Počet nalezených dokumentů: 1598
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Distributed Sequential Zero-Inflated Poisson Regression
Žemlička, R.; Dedecius, Kamil
2021 - anglický
The zero-inflated Poisson regression model is a generalized linear model (GLM) for non-negative count variables with an excessive number of zeros. This letter proposes its low-cost distributed sequential inference from streaming data in networks with information diffusion. The model is viewed as a probabilistic mixture of a Poisson and a zero-located Dirac component, whose probabilities are estimated using a quasi-Bayesian procedure. The regression coefficients are inferred by means of a weighted Bayesian update. The network nodes share their posterior distributions using the diffusion protocol.\n Klíčová slova: Poisson regression; zero inflation; GLM Dokument je dostupný na externích webových stránkách.
Distributed Sequential Zero-Inflated Poisson Regression

The zero-inflated Poisson regression model is a generalized linear model (GLM) for non-negative count variables with an excessive number of zeros. This letter proposes its low-cost distributed ...

Žemlička, R.; Dedecius, Kamil
Ústav teorie informace a automatizace, 2021

Media Treatment of Monetary Policy Surprises and Their Impact on Firms’ and Consumers’ Expectations
Pinter, J.; Kočenda, Evžen
2021 - anglický
We empirically investigate whether monetary policy announcements affect firms’ and consumers’ expectations by taking into account media treatments of monetary policy announcements. To identify exogenous changes in monetary policy stances, we use the standard financial monetary policy surprise measures in the euro area. We then analyze how a general newspaper and a financial newspaper (Le Monde and The Financial Times) report on announcements. We find that 87 % of monetary policy surprises are either not associated with the general newspaper reporting a change in the monetary policy stance to their readers or have a sign that is inconsistent with the media report of the announcement. When we use the raw monetary policy surprises variable as an independent variable in the link between monetary policy announcements and firms’/consumers’ expectations, we mostly do not find, in line with several previous studies, any statistically significant association. When we take only monetary policy surprises that are consistent with the general newspaper report, in almost all cases we find that monetary policy surprises on the immediate monetary policy stance do affect expectations. Surprises related to future policy inclination and information shocks usually do not appear to matter. The results appear to be in line with rational inattention theories and highlight the need for caution in the use of monetary policy surprise measures for macroeconomic investigations. Klíčová slova: firm expectations; consumer expectations; monetary policy surprises; European Central Bank; information effect Dokument je dostupný na externích webových stránkách.
Media Treatment of Monetary Policy Surprises and Their Impact on Firms’ and Consumers’ Expectations

We empirically investigate whether monetary policy announcements affect firms’ and consumers’ expectations by taking into account media treatments of monetary policy announcements. To identify ...

Pinter, J.; Kočenda, Evžen
Ústav teorie informace a automatizace, 2021

City simulation software for modeling, planning, and strategic assessment of territorial city units
Svítek, M.; Přibyl, O.; Vorel, J.; Garlík, B.; Resler, Jaroslav; Kozhevnikov, S.; Krč, Pavel; Geletič, Jan; Daniel, Milan; Dostál, R.; Janča, T.; Myška, V.; Aralkina, O.; Pereira, A. M.
2021 - anglický
SVÍTEK, M., PŘIBYL, O., VOREL, J., GARLÍK, B., RESLER, J., KOZHEVNIKOV, S., KRČ, P., GELETIČ, J., DANIEL, M., DOSTÁL, R., JANČA, T., MYŠKA, V., ARALKINA, O., PEREIRA, A. M. City simulation software for modeling, planning, and strategic assessment of territorial city units. 1.1. Prague: CTU & ICS CAS, 2021. Technical Report. ABSTRACT: The Smart Resilience City concept is a new vision of a city as a digital platform and eco-system of smart services where agents of people, things, documents, robots, and other entities can directly negotiate with each other on resource demand principals providing the best possible solution. It creates the smart environment making possible self-organization in sustainable or, when needed, resilient way of individuals, groups and the whole system objectives. Klíčová slova: Smart city; City simulation; Energy resource-demand modelling; Environmental modelling; Synthetic population; Transport modelling Plné texty jsou dostupné na vyžádání prostřednictvím repozitáře Akademie věd.
City simulation software for modeling, planning, and strategic assessment of territorial city units

SVÍTEK, M., PŘIBYL, O., VOREL, J., GARLÍK, B., RESLER, J., KOZHEVNIKOV, S., KRČ, P., GELETIČ, J., DANIEL, M., DOSTÁL, R., JANČA, T., MYŠKA, V., ARALKINA, O., PEREIRA, A. M. City simulation software ...

Svítek, M.; Přibyl, O.; Vorel, J.; Garlík, B.; Resler, Jaroslav; Kozhevnikov, S.; Krč, Pavel; Geletič, Jan; Daniel, Milan; Dostál, R.; Janča, T.; Myška, V.; Aralkina, O.; Pereira, A. M.
Ústav informatiky, 2021

Score matching filters for Gaussian Markov random fields with a linear model of the precision matrix
Turčičová, Marie; Mandel, J.; Eben, Kryštof
2021 - anglický
We present an ensemble filter that provides a rigorous covariance regularization when the underlying random field is Gaussian Markov. We use a linear model for the precision matrix (inverse of covariance) and estimate its parameters together with the analysis mean by the Score Matching method. This procedure provides an explicit expression for parameter estimators. The resulting analysis step formula is the same as in the traditional ensemble Kalman filter. Klíčová slova: Score matching; ensemble filter; Gaussian Markov random field; covariance modelling Plné texty jsou dostupné na jednotlivých ústavech Akademie věd ČR.
Score matching filters for Gaussian Markov random fields with a linear model of the precision matrix

We present an ensemble filter that provides a rigorous covariance regularization when the underlying random field is Gaussian Markov. We use a linear model for the precision matrix (inverse of ...

Turčičová, Marie; Mandel, J.; Eben, Kryštof
Ústav informatiky, 2021

Assessment of Independent EEG Components Obtained by Different Methods for BCI Based on Motor Imagery
Húsek, Dušan; Frolov, A. A.; Kerechanin, J. V.; Bobrov, P.D.
2021 - anglický
Eight methods of decomposition of a multichannel EEG signal are compared in terms of their ability to identify the most physiologically significant components. The criterion for the meaningfulness of a method is its ability to reduce mutual information between components; to create components that can be attributed to the activity of dipoles located in the cerebral cortex; find components that are provided by other methods and for this case; and at the same time, these components should most contribute to the accuracy of the BCI based on imaginary movement. Independent component analysis methods AMICA, RUNICA and FASTICA outperform others in the first three criteria and are second only to the Common Spatial Patterns method in the fourth criterion. The components created by all methods for 386 experimental sessions of 27 subjects were combined into more than 100 clusters containing more than 10 elements. Additionally, the components of the 12 largest clusters were analyzed. They have proven to be of great importance in controlling BCI, their origins can be modeled using dipoles in the brain, and they have been detected by several degradation methods. Five of the 12 selected components have been identified and described in our previous articles. Even if the physiological and functional origins of the rest of identified components’ are to be the subject of further research, we have shown that their physiological nature is at least highly probable.\n Klíčová slova: brain–computer interface; motor imagery; blind source separation; independent component analysis; common spatial patterns; cluster analysis; EEG pattern extraction; EEG analysis; ICA; CSP; BCI; motor imagery Plné texty jsou dostupné na jednotlivých ústavech Akademie věd ČR.
Assessment of Independent EEG Components Obtained by Different Methods for BCI Based on Motor Imagery

Eight methods of decomposition of a multichannel EEG signal are compared in terms of their ability to identify the most physiologically significant components. The criterion for the meaningfulness of ...

Húsek, Dušan; Frolov, A. A.; Kerechanin, J. V.; Bobrov, P.D.
Ústav informatiky, 2021

Structural mapping of exploration geotechnical boreholes walls within 1st phase – Ore Zone
Waclawik, Petr; Vavro, Martin; Schuchová, Kristýna; Kukutsch, Radovan; Staš, Lubomír; Souček, Kamil; Georgiou, Lucie
2021 - anglický
Structural-geological analysis, i.e. fracturing assessment of the walls of geotechnical boreholes (CIS12, CIS14, CIS31 and CIS37) within the Ore Zone lithium exploratory area was carried out on the basis of optical (OPTV) and acoustic televiewer (HiRAT) records evaluation. HiRAT and OPTV probes are part of the Robertson Geologging logging equipment. The apparatus has an electric winch with a four-core logging cable, which transmits the data recorded by the probes via a data logger to a computer. The spatial data obtained from interpretation of the geotechnical boreholes records were structurally analysed. The submitted research report comprehensively summarises the findings obtained from the structural mapping of geotechnical boreholes. On the basis measured data the rock mass quality evaluation of boreholes walls were additionally done. The complex data have been allowed very precise analysis of rock mass structural conditions, which are necessary for construction geomechanical model. Klíčová slova: geotechnical boreholes; structural mapping; rock mass quality Plné texty jsou dostupné na jednotlivých ústavech Akademie věd ČR.
Structural mapping of exploration geotechnical boreholes walls within 1st phase – Ore Zone

Structural-geological analysis, i.e. fracturing assessment of the walls of geotechnical boreholes (CIS12, CIS14, CIS31 and CIS37) within the Ore Zone lithium exploratory area was carried out on the ...

Waclawik, Petr; Vavro, Martin; Schuchová, Kristýna; Kukutsch, Radovan; Staš, Lubomír; Souček, Kamil; Georgiou, Lucie
Ústav geoniky, 2021

GPR survey of the reinforcement above the long horizontal window case study: Ice ring stadium restaurant Fuchs on Štvanice Island
Válek, Jan; Kozlovcev, Petr; Eisler, Marek; Dušek, Ondřej
2021 - anglický
The aim of the survey was to assess the use of Ground Penetration Radar for the reinforcement position detection on the Ice ring restaurant – an early concrete building on Štvanice Island in Prague from 1932. For this case study a potentially critical section of a façade above the app. 16 m long horizontal window was selected. GPR from IDS company equipped with 2 GHz high frequency antenna was used. Klíčová slova: Fuchs restaurant; GPR; reinforced concrete Plné texty jsou dostupné na jednotlivých ústavech Akademie věd ČR.
GPR survey of the reinforcement above the long horizontal window case study: Ice ring stadium restaurant Fuchs on Štvanice Island

The aim of the survey was to assess the use of Ground Penetration Radar for the reinforcement position detection on the Ice ring restaurant – an early concrete building on Štvanice Island in Prague ...

Válek, Jan; Kozlovcev, Petr; Eisler, Marek; Dušek, Ondřej
Ústav teoretické a aplikované mechaniky, 2021

Transferring Improved Local Kernel Design in Multi-Source Bayesian Transfer Learning, with an application in Air Pollution Monitoring in India
Nugent, Sh.; Quinn, Anthony
2021 - anglický
Existing frameworks for multi-task learning [1],[2] often rely on completely modelled relationships between tasks, which may not be available. Recent work [3], [4] has been undertaken on approaches to fully probabilistic methods for transfer learning between two Gaussian Process (GP) tasks. There, the target algorithm accepts source knowledge in the form of a probabilistic prior from a source algorithm, without requiring the target to model their interaction with the source. These strategies have offered robust improvements on current state of the art algorithms, such as the Intrinsic Coregionalization Model. The Bayesian Transfer Learning algorithm proposed in [4], was found to provide robust, positive\ntransfer. This algorithm was then extended to accommodate knowledge transfer from multiple source modellers [5]. Improved predictive performance was observed from increases in the number of sources. This report reviews the multi-source transfer findings in [5] and applies it to a real world problem of pollution modelling in India, using public-domain data. Klíčová slova: fully probabilistic methods; Bayesian Transfer Learning algorithm; Gaussian Process; Intrinsic Coregionalization Model; pollution modelling Dokument je dostupný na externích webových stránkách.
Transferring Improved Local Kernel Design in Multi-Source Bayesian Transfer Learning, with an application in Air Pollution Monitoring in India

Existing frameworks for multi-task learning [1],[2] often rely on completely modelled relationships between tasks, which may not be available. Recent work [3], [4] has been undertaken on approaches to ...

Nugent, Sh.; Quinn, Anthony
Ústav teorie informace a automatizace, 2021

Nearly All Reals Can Be Sorted with Linear Time Complexity
Jiřina, Marcel
2021 - anglický
We propose a variant of the counting sort modified for sorting reals in a linear time. It is assumed that the sorting key and pointers to the items being sorted are moved and individual items remain at the same place in the memory (in place sorting). In this case, the space complexity of the new variant of the algorithm is the same as the complexity of the quicksort. We also quantify the practical limits for possible sorting reals in a linear time. This possibility is assured under additional assumptions on the distribution of the sorting key, mainly the independence and identity of the distribution. Here we give a more general criteria easily applicable in practice. We also show that the algorithm is applicable for data that do not fulfill criteria for linear time complexity but even that the computation is faster than the system quicksort. A new, faster version of the algorithm is attached. Klíčová slova: sorting; algorithm; real sorting key; time complexity; linear complexity Plné texty jsou dostupné v digitálním repozitáři Akademie Věd.
Nearly All Reals Can Be Sorted with Linear Time Complexity

We propose a variant of the counting sort modified for sorting reals in a linear time. It is assumed that the sorting key and pointers to the items being sorted are moved and individual items remain ...

Jiřina, Marcel
Ústav informatiky, 2021

Measurements on KR-D-4 Cascade
Šimurda, David; Radnic, Tomáš
2021 - anglický
This report contains results and evaluation of aerodynamic measurements conducted on a subsonic compressor blade cascade. Klíčová slova: compressor blade cascade; experiment; subsonic flow; transonic flow; AVDR Plné texty jsou dostupné na jednotlivých ústavech Akademie věd ČR.
Measurements on KR-D-4 Cascade

This report contains results and evaluation of aerodynamic measurements conducted on a subsonic compressor blade cascade.

Šimurda, David; Radnic, Tomáš
Ústav termomechaniky, 2021

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