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Wyszukujesz frazę "time models" wg kryterium: Temat


Wyświetlanie 1-9 z 9
Tytuł:
Badanie dynamiki ubóstwa w Polsce z wykorzystaniem modeli analizy historii zdarzeń o czasie dyskretnym
A STUDY OF POVERTY DYNAMICS IN POLAND USING DISCRETE–TIME EVENT HISTORY ANALYSIS MODELS
Autorzy:
Sączewska-Piotrowska, Anna
Powiązania:
https://bibliotekanauki.pl/articles/418307.pdf
Data publikacji:
2013
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
poverty dynamics
event history analysis
discrete-time models
Opis:
Studies on poverty are based predominantly on cross-sectional analysis. Including a time dimension in the analysis allows us to better understanding the dynamics of poverty. In the long run, a unit (individual, household, family) can enter and exit poverty several times. An analysis of determinants of these events allows us to identify groups of households which are particularly likely to enter into poverty, and those with a high chance of exiting poverty. The main aim of this article is to identify determinants of transitions into and out of poverty in Poland in 2000–2011. To achieve this, I use logit regression models for discrete-time event history analysis. I present two specifications of the model, one with number of years spent outside poverty and a second with additional selected socio-economic characteristics of household and household head. The results of estimation suggest that the amount of time spent out of poverty or in poverty does not have a significantly effect, with the exception of one case, on the probability of a change in the status (in poverty/out of poverty). In the case of entries into poverty, including additional variables improves the model. I find that a change in probability of entry into poverty is significantly affected by age and education of household head, place of residence and labour force status of household. However, expanded model of poverty exits is worse than the base model. None of the included variables are statistically significant.
Źródło:
Studia Demograficzne; 2013, 163, 1; 73-96
0039-3134
Pojawia się w:
Studia Demograficzne
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Stability conditions for fractional-order linear equations with delays
Autorzy:
Mozyrska, D.
Ostalczyk, P.
Wyrwas, M.
Powiązania:
https://bibliotekanauki.pl/articles/201130.pdf
Data publikacji:
2018
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
fractional calculus
discrete-time models with delays
stability
rachunek różniczkowy
model dyskretny
stabilność
Opis:
The problem of stability of the Gr¨unwald-Letnikov-type linear fractional-order discrete-time systems with delays is discussed. For the stability analysis of the considered systems the Z -transform is used. The sufficient conditions for the asymptotic stability of the considered systems are presented. Using conditions related to eigenvalues of the matrices defining the linear difference systems, one can determine the regions of location of eigenvalues of matrices associated to the systems in order to guarantee the asymptotic stability of the considered systems. Some of these regions are illustrated with relevant examples.
Źródło:
Bulletin of the Polish Academy of Sciences. Technical Sciences; 2018, 66, 4; 449-454
0239-7528
Pojawia się w:
Bulletin of the Polish Academy of Sciences. Technical Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Behaviour of fractional discrete-time consensus models with delays for summator dynamics
Autorzy:
Girejko, E.
Mozyrska, D.
Wyrwas, M.
Powiązania:
https://bibliotekanauki.pl/articles/201408.pdf
Data publikacji:
2018
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
fractional calculus
consensus
single-summator
double-summator
discrete-time models with delays
rachunek ułamkowy
konsensus
model dyskretny
opóźnienia
Opis:
The leader-following consensus problem of fractional-order multi-agent discrete-time systems with delays is considered. In the systems, interactions between agents are defined like in Krause and Cucker-Smale models, but the memory is included by taking both the fractional-order discrete-time operator on the left hand side of the nonlinear systems and the delays. Since in practical problems only bounded number of delays can be considered, we study the fractional order discrete-time models with a finite number of delays. The models of opinions under consideration are investigated for single- and double-summator dynamics of discrete-time by means of analytical methods as well as computer simulations.
Źródło:
Bulletin of the Polish Academy of Sciences. Technical Sciences; 2018, 66, 4; 403-410
0239-7528
Pojawia się w:
Bulletin of the Polish Academy of Sciences. Technical Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Volatility Persistence and Predictability of Squared Returns in GARCH(1,1) Models
Autorzy:
Triacca, Umberto
Powiązania:
https://bibliotekanauki.pl/articles/483247.pdf
Data publikacji:
2009
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
GARCH Models
returns
time series
volatility persistence
Opis:
Volatility persistence is a stylized statistical property of financial time-series data such as exchange rates and stock returns. The purpose of this letter is to investigate the relationship between volatility persistence and predictability of squared returns.
Źródło:
Central European Journal of Economic Modelling and Econometrics; 2009, 1, 3; 285-291
2080-0886
2080-119X
Pojawia się w:
Central European Journal of Economic Modelling and Econometrics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Autocovariance and Linear Transformations of Markov Switching VARMA Processes
Autorzy:
Cavicchioli, Maddalena
Powiązania:
https://bibliotekanauki.pl/articles/2076570.pdf
Data publikacji:
2014
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
time series
multivariate ARMA
state-space models
Markovchains
changes in regime
autocovariance
linear representations
Opis:
We study the autocovariance structure of a general Markov switching second-order stationary VARMA model. Then we give stable finite order VARMA(p∗, q∗) representations for those M-state Markov switching VARMA(p, q) processes where the observables are uncorrelated with the regime variables. This allows us to obtain sharper bounds for p∗and q∗ with respect to the ones existing in literature. Our results provide new insights into stochastic properties and facilitate statistical inference about the orders of MS-VARMA models and the underlying number of hidden states
Źródło:
Central European Journal of Economic Modelling and Econometrics; 2014, 4; 275-289
2080-0886
2080-119X
Pojawia się w:
Central European Journal of Economic Modelling and Econometrics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Probabilistic adaptive computation time
Autorzy:
Figurnov, M.
Sobolev, A.
Vetrov, D.
Powiązania:
https://bibliotekanauki.pl/articles/201248.pdf
Data publikacji:
2018
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
deep learning
probabilistic models
adaptive computation time
uczenie głębokie
modele probabilistyczne
adaptacyjny czas obliczeniowy
Opis:
We present a probabilistic model with discrete latent variables that control the computation time in deep learning models such as ResNets and LSTMs. A prior on the latent variables expresses the preference for faster computation. The amount of computation for an input is determined via amortized maximum a posteriori (MAP) inference. MAP inference is performed using a novel stochastic variational optimization method. The recently proposed adaptive computation time mechanism can be seen as an ad-hoc relaxation of this model. We demonstrate training using the general-purpose concrete relaxation of discrete variables. Evaluation on ResNet shows that our method matches the speed-accuracy trade-off of adaptive computation time, while allowing for evaluation with a simple deterministic procedure that has a lower memory footprint.
Źródło:
Bulletin of the Polish Academy of Sciences. Technical Sciences; 2018, 66, 6; 811-820
0239-7528
Pojawia się w:
Bulletin of the Polish Academy of Sciences. Technical Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
State-dependent Autoregressive Models with p Lags: Properties, Estimation and Forecasting
Autorzy:
Gobbi, Fabio
Mulinacci, Sabrina
Powiązania:
https://bibliotekanauki.pl/articles/2119921.pdf
Data publikacji:
2022
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
convolution-based autoregressive models
level-increment dependence
nonlinear time series
maximum likelihood
forecasting accuracy
Opis:
In this paper we consider a class of nonlinear autoregressive models in which a specific type of dependence structure between the error term and the lagged values of the state variable is assumed. We show that there exists an equivalent representation given by a p-th order state-dependent autoregressive (SDAR(p)) model where the error term is independent of the last p lagged values of the state variable (yt−1, . . . , yt−p) and the autoregressive coefficients are specific functions of them. We discuss a quasi-maximum likelihood estimator of the model parameters and we prove its consistency and asymptotic normality. To test the forecasting ability of the SDAR(p) model, we propose an empirical application to the quarterly Japan GDP growth rate which is a time series characterized by a level-increment dependence. A comparative analyses is conducted taking into consideration some alternative and competitive models for nonlinear time series such as SETAR and AR-GARCH models.
Źródło:
Central European Journal of Economic Modelling and Econometrics; 2022, 1; 81-108
2080-0886
2080-119X
Pojawia się w:
Central European Journal of Economic Modelling and Econometrics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Application of Teager Energy Operator on Linear and Mel Scales for Whispered Speech Recognition
Autorzy:
Marković, B. R.
Galić, J.
Mijić, M.
Powiązania:
https://bibliotekanauki.pl/articles/176961.pdf
Data publikacji:
2018
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
Teager energy operator
cepstral mean subtraction
whispered speech recognition
linear scale
mel scale
dynamic time warping
hidden Markov models
Opis:
This paper presents experimental results on whispered speech recognition based on Teager Energy Operator for linear and mel cepstral coefficients including the Cepstral Mean Subtraction normalization technique. The feature vectors taken into consideration are Linear Frequency Cepstral Coefficients, Teager Energy based Linear Frequency Cepstral Coefficients, Mel Frequency Cepstral Coefficients and Teager Energy based Mel Frequency Cepstral Coefficients. A speaker dependent scenario is used. For the recognition process, Dynamic Time Warping and Hidden Markov Models methods are applied. Results show a respectable improvement in whispered speech recognition as achieved by using the Teager Energy Operator with Cepstral Mean Subtraction.
Źródło:
Archives of Acoustics; 2018, 43, 1; 3-9
0137-5075
Pojawia się w:
Archives of Acoustics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Quantitative and qualitative methods for evaluation of measurement signals on the example of vibration signals analysis from the corps of prototype reclaimer regmas
Ilościowe i jakościowe metody oceny sygnałów pomiarowych na przykładzie analizy sygnałów wibracji prototypowego regeneratora mas formierskich REGMAS
Autorzy:
Kowal, J.
Dańko, J.
Stojek, J.
Powiązania:
https://bibliotekanauki.pl/articles/353831.pdf
Data publikacji:
2013
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
vibration signals
mould sand reclaimer
signal analysis
parametric and non-parametric models
time series
masy formierskie
sygnały drgań
analiza sygnału
parametryczne i nieparametryczne modele szeregów czasowych
Opis:
The article presents examples of vibration signals analysis derived from the research of prototype reclaimer REGMAS. After the division of the time-frequency analysis methods of measuring signals, their non-parametric and parametric models were estimated. At the end of the article the summary and conclusions were set.
W artykule zaprezentowano przykłady analizy sygnałów wibracji uzyskanych z badań prototypowego regeneratora mas formierskich REGMAS. Po dokonaniu podziału czasowo-częstotliwościowych metod analizy sygnałów pomiarowych, wyznaczono ich modele parametryczne i nieparametryczne. Na końcu zawarto podsumowanie oraz wnioski końcowe dotyczące przedstawionych analiz.
Źródło:
Archives of Metallurgy and Materials; 2013, 58, 3; 827-831
1733-3490
Pojawia się w:
Archives of Metallurgy and Materials
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-9 z 9

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