Pareto Density Estimation (PDE) as defined in this work is a method for the estimation of probability density functions using hyperspheres. The radius of the hyperspheres is derived from optimizing information while minimizing set size. It is shown, that PDE is a very good estimate for data containing clusters of Gaussian structure. The behavior of the method is demonstrated with respect to clu...

Estimating the conditional mean of an inputoutput relation is the goal of regression. However, regression analysis is not sufficiently informative if the conditional distribution has multi-modality, is highly asymmetric, or contains heteroscedastic noise. In such scenarios, estimating the conditional distribution itself would be more useful. In this paper, we propose a novel method of condition...

We introduce a geometrically intuitive procedure to obtain an estimator for a probability density function in the absence or presence of predictors. The estimation procedure is based on starting with an initial estimate of the density shape and then transforming it via a warping function to obtain the final estimate. The idea is to design the initial estimate to be computationally fast, albeit ...

When analyzing economic games, researchers frequently estimate quantities describing group outcomes, such as the expected revenue in an auction. For such applications, we propose an improved statistical estimation technique called “recombinant estimation.” The technique takes observations of players’ strategies and recombines them to compute all possible group outcomes that could have resulted ...

This paper deals with the fundamental frequency estimation for monophonic sounds in the SMS analysis environment. The importance of the fundamental frequency as well as some uses in SMS is commented. The particular method of F0 estimation based on a two-way mismatched measure is described as well as some modifications. Finally we explain how pitch-unpitched decision is performed.

Estimation and mapping of forest resources are preconditions for management, planning and research. In this study, we applied kriging interpolation of geostatistics for estimation and mapping of forest stock at-tributes in a natural, uneven-aged, unmanaged forest in the Caspian region of northern Iran. The site of the study has an area of 516 ha and an elevation that ranges from 1100 to 1450 m ...