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Kernel density

Contingent kernel density estimation.

Contingent kernel density estimation.

... normalized density maps ...Gaussian kernel basis for the estimation ...contingent kernel density estimation techniques for the sample of 10,000 Twitter ...

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Measuring Urban Renewal: a dual Kernel Density Estimation to assess the intensity of building renovation - case study in Lisbon

Measuring Urban Renewal: a dual Kernel Density Estimation to assess the intensity of building renovation - case study in Lisbon

... as Kernel Density Estimation (KDE) [9,10], have the capacity to overcome incomplete data, providing estimations on the continuous density of the observed ...underlying density that may skew ...

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Effective dysphonia detection using feature dimension reduction and kernel density estimation for patients with Parkinson's disease.

Effective dysphonia detection using feature dimension reduction and kernel density estimation for patients with Parkinson's disease.

... nonparametric kernel density estimation method established the visible bivariate distributions of the KPCA-mapped feature ...and kernel density modeling for vocal pattern ...

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Exploration of diffusion kernel density estimation in agricultural drought risk analysis: a case study in Shandong, China

Exploration of diffusion kernel density estimation in agricultural drought risk analysis: a case study in Shandong, China

... function (e.g. Gaussian kernel density estimation (GKDE)) is known for its relatively straightforward computation scheme. However, one of the disadvantages for GKDE is the boundary leakage problem that may ...

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Nonparametric assessment of hedge fund performance

Nonparametric assessment of hedge fund performance

... To formally test whether this difference in performance is statistically meaningful we implement a paired mean test. Figure 9 plots the cross-sectional kernel density of the estimated t-statistics. This ...

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Algorithms for Molecular Biology

Algorithms for Molecular Biology

... a kernel density distribution ...a density distribution kernel for the projection of sequences in a continuous space also creates the opportu- nity to devise de-embedding schemes that will ...

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Tony Hiroshi Katsuragawa [4] , Renato Roriz da Silva [1] , Carla Freire Celedônio Fernandes [2],[4], Luiz Augusto Paiva Cardoso [5] , Moreno Magalhães de Souza Rodrigues [2], Andreimar Martins Soares [2] , Rodrigo Guerino Stábeli [1],[2] and Juliana Pavan

Tony Hiroshi Katsuragawa [4] , Renato Roriz da Silva [1] , Carla Freire Celedônio Fernandes [2],[4], Luiz Augusto Paiva Cardoso [5] , Moreno Magalhães de Souza Rodrigues [2], Andreimar Martins Soares [2] , Rodrigo Guerino Stábeli [1],[2] and Juliana Pavan

... FIGURE 1 – I: Location of the study area, State of Rondônia, Brazil. The large red square indicates the State of Rondônia, and the municipality of Humaitá is in green (State of Amazonas). The orange line indicates the ...

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Estimation of the infection rate in epidemic models with multiple populations

Estimation of the infection rate in epidemic models with multiple populations

... Gaussian kernel density estimation for the estimated infection rate ˆ β obtained using λ ( t ) as in Equa- tion (6.22) in meta-population models with an increasing number of populations [r] ...

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Tony Hiroshi Katsuragawa [4] , Renato Roriz da Silva [1] , Carla Freire Celedônio Fernandes [2],[4], Luiz Augusto Paiva Cardoso [5] , Moreno Magalhães de Souza Rodrigues [2], Andreimar Martins Soares [2] , Rodrigo Guerino Stábeli [1],[2] and Juliana Pavan

Tony Hiroshi Katsuragawa [4] , Renato Roriz da Silva [1] , Carla Freire Celedônio Fernandes [2],[4], Luiz Augusto Paiva Cardoso [5] , Moreno Magalhães de Souza Rodrigues [2], Andreimar Martins Soares [2] , Rodrigo Guerino Stábeli [1],[2] and Juliana Pavan

... FIGURE 1 – I: Location of the study area, State of Rondônia, Brazil. The large red square indicates the State of Rondônia, and the municipality of Humaitá is in green (State of Amazonas). The orange line indicates the ...

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Estudos em estimação de densidade por Kernel: métodos de seleção de características e estimação do parâmetro suavizador

Estudos em estimação de densidade por Kernel: métodos de seleção de características e estimação do parâmetro suavizador

... being kernel matrices a well known ...calculated kernel matrix, starting from the hypothesis that those geometric relations are coherent with known ...use kernel density estimation (KDE) were ...

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Ecologia e migração da enguia prateada na Lagoa de Santo André: um contributo para a gestão da pesca e da abertura da lagoa ao mar

Ecologia e migração da enguia prateada na Lagoa de Santo André: um contributo para a gestão da pesca e da abertura da lagoa ao mar

... alisamento kernel. A Kernel Density Estimation (KDE) é uma técnica de análise espacial não paramétrica, que estima diretamente uma função de probabilidade bivariada numa dada área (Silverman, 1986; ...

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Central limit theorem for asymmetric kernel functionals

Central limit theorem for asymmetric kernel functionals

... asymmetric kernel estimate of the true density f with support ...the density functional ...nonparametric kernel estimation of densities with bounded ...parametric density estimation ...

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INCREMENTAL REFINEMENT OF FAÇADE MODELS WITH ATTRIBUTE GRAMMAR  FROM 3D POINT CLOUDS

INCREMENTAL REFINEMENT OF FAÇADE MODELS WITH ATTRIBUTE GRAMMAR FROM 3D POINT CLOUDS

... Data acquisition using unmanned aerial vehicles (UAVs) has gotten more and more attention over the last years. Especially in the field of building reconstruction the incremental interpretation of such data is a demanding ...

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O S ATROPELAMENTOS E O USO URBANO NOC ONCELHO DEC

O S ATROPELAMENTOS E O USO URBANO NOC ONCELHO DEC

... – Kernel Density Estimation, é possível identificar hotspots no território através da rede de eixos de via, o que permite um estudo mais exato quando comparado a estudos tradicional de Kernel ...

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Nonlinear scaling in social Physics

Nonlinear scaling in social Physics

... bility density obtained by kernel density ...of density maps are cases of low number of fatal events, one or two ...expected density of fatality with the population ...

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Evaluation of the Memory Kernel of VACF in Simulated Ni20Zr80-Liquids

Evaluation of the Memory Kernel of VACF in Simulated Ni20Zr80-Liquids

... Work in the last decade has provided evidence that MCT is able to describe the slow dynamics of fragile liquids in the weakly supercooled state [1]. The work of Kob et.al.[2] has also showed that theory able to ...

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Characterization of Cetaceans in the south coast of Portugal between Lagos and Cape São Vicente

Characterization of Cetaceans in the south coast of Portugal between Lagos and Cape São Vicente

... the density and distribution can be seen in figures 16 and 17, showing the high probability of abundance and occurrence of Bottlenose dolphin in study ...the Kernel analysis it is evident that in few areas ...

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NATURAL ANTIOXIDANT INGREDIENT FROM BY-PRODUCTS OF FRUITS

NATURAL ANTIOXIDANT INGREDIENT FROM BY-PRODUCTS OF FRUITS

... contents of in mango seed was 117.0 mg Gallic acid equivalent/g, while mango pulp had 2.4 mg Gallic acid equivalent/g. On the other hand, Ribeiro-Junior et al. (2008) found that the peel and seed of mango had a total ...

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Análise de técnicas de distribuição espacial com padrões pontuais e aplicação a dados de acidentes de trânsito e a dados da dengue de Rio Claro-SP

Análise de técnicas de distribuição espacial com padrões pontuais e aplicação a dados de acidentes de trânsito e a dados da dengue de Rio Claro-SP

... fun¸c˜ao kernel qu´artico e fun¸c˜ao kernel normal (figura 12, figura 13), utilizando os mesmos raios de influˆencia, e utilizando raios menores para a normal (figura 14) percebe-se que as fun¸c˜oes qu´articas ...

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Kernel smoothing dos dados de chuva no Nordeste.

Kernel smoothing dos dados de chuva no Nordeste.

... O método do Kernel é muito utilizado para mapear e estimar a distribuição dos pontos no espaço utilizando a estatística não paramétrica por meio da função de Núcleo. Seu objetivo é interpolar um valor de ...

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