Application for validating density-estimation method
Validating Static WCET Analysis: A Method and Its Application
... binary-search application bs covers 80 ...robotics application alone covers 209 combinations ...actual application code (involving a greater variety of algorithms) allow achieving a higher coverage ...
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Development and application of traffic accident density estimation models using kernel density estimation
... implementation method has been ...accident density estimation explained by GIS data can enable the determination of dangerous areas objectively and easily, indi- cating where area-wide traffic ...
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An optimal control variance reduction method for density estimation
... one has to study the weak error of the above expression together with the variance behavior. This brings us to study a central limit theorem for the error process. A similar study in the regular case (with one less ...
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Application of Clustering in the Non-Parametric Estimation of Distribution Density
... multimodal density function estimation problem of a random ...Monte-Carlo method. The paper demonstrates that the estimation quality increases significantly if the sample is clustered ...
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New Approach to Density Estimation and Application to Value at Risk
... our method using information from traded option prices produce VaR estimates that are much closer to estimates of expected ...VG method we use produces VaR estimates that are about twice those produced by ...
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A fast and objective multidimensional kernel density estimation method: fastKDE
... A method for practically extending the Bernacchia–Pigolotti KDE to multidimensions is ...their method that makes it computationally efficient: a 2D KDE on 10 5 samples only takes 1 s on a modern ...KDE ...
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On the Method of Logarithmic Cumulants for Parametric Probability Density Function Estimation
... VIII. C ONCLUSIONS In this paper, we have addressed the problem of PDF parameter estimation by means of the MoLC approach. This recently developed estimator can be used for a wide range of applications, notably ...
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Clustering via nonparametric density estimation: an application to microarray data.
... the method in clustering groups very close to each other: the closeness between the values of sensitivity, specificity and error rate of pdfClust and k-means, that is constrained to build two groups, seems to ...
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Validating and Highlighting the Advantages of the Optimal Estimation Method For Rayleigh Lidar Middle Atmospheric Temperature Retrievals
... a method to remove the effect of the water vapour and tempera- ture a priori information from the OEM water vapour and temperature lidar retrievals using their averaging ...This method was validated by ...
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An improved method for mobility prediction using a Markov model and density estimation
... j=1 n cl,j . Note that when a user is visiting a place that has not been visited before, the conditional probability for all destinations is 0 and no prediction can be made. However, given that the individual is in a ...
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Validating protein structure using kernel density estimates
... Kernel density estimation is a well-known nonparametric method which is often used for exploratory data ...conditional density estimates, a method is proposed which permits inference on ...
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Validating protein structure using kernel density estimates
... Kernel density estimation is a well-known nonparametric method which is often used for exploratory data ...conditional density estimates, a method is proposed which permits inference on ...
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Forest Density Estimation
... forest density estimation for high dimensional data. Forest density estimation skirts the curse of dimensionality by restricting to undirected graphs without cycles, while allowing fully ...
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Application of kernel density estimation in lamb wave-based damage detection
... the estimation of the probability density function ...probability-based method, was still given by experience in existing ...nonparametric method, kernel density estimation was ...
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Application Study on Rigidity Correlation Method for Density Inversion of Rockfill
... Correlation Method, Rockfill, Density Inversion, Regression Performance, Accuracy ...in density measurement of rockfill, in recent years, the addi- tive mass method has been used in various ...
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Research and application of estimation method for software cost estimation based on Putnam model
... progress estimation of ...model estimation, the paper reveals the relations among the source program code length of software project, the development time of software and the workload, with very important ...
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Gradient Density Estimation in Arbitrary Finite Dimensions Using the Method of Stationary Phase
... popular application area for density estima- tion—these gradient density functions are popularly known as the histogram of oriented gradients (HOG) and are primarily employed for human and object ...
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METAPHOR: a machine-learning-based method for the probability density estimation of photometric redshifts
... Left-hand panel of upper row: scatter plot of photometric redshifts as a function of spectroscopic redshifts zspec versus zphot ; right-hand panel of upper row: scatter plot of residuals[r] ...
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An efficient acoustic density estimation method with human detectors applied to gibbons in Cambodia
... population density for such species are often ineffective or inefficient, but methods based on passive acoustics show more ...the density of calling ...model-based estimation of the proportion of ...
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Copula Density Estimation of Iranian Household Income and Expenditure by Using Selection Method
... copula density function for two variables, Income and Expenditure, of Iranian household, contamination families and selection models methods have been ...model method, the model complexity and number of ...
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