Bayesian inference of phylogeny is unique among phylogenetic reconstruction methods in that it produces a posterior distribution of trees rather than a point estimate of the best tree. The most common way to summarize this distribution is to report the majority-rule consensus tree annotated with the marginal posterior probabilities of each partition. Reporting a single tree discards information...

Color alignment is one of the important processes in the 2D-3D texture mapping. In this paper, a novel method for color alignment is presented. An overview of the method is as follows. Given multiple images of a textured object taken from various positions and three-dimensional geometrical data of the object, we first estimate the surface normal direction of the object in an image using the thr...

The time-of-detection method for aural avian point counts is a new method of estimating abundance, allowing for uncertain probability of detection. The method has been specifically designed to allow for variation in singing rates of birds. It involves dividing the time interval of the point count into several subintervals and recording the detection history of the subintervals when each bird si...

In the present paper, we introduce some Stancu type generalization of Szász-Mirakyan-Baskakov type operators. We estimate the moments for these operators using the hypergeometric series, which can be related to Laguerre polynomials. We estimate point wise convergence, asymptotic expansion and error estimate in terms of higher order modulus of continuity of function in simultaneous approximation...

July-August 2012 Imagine you fly home from vacation with your one-and-ahalf-year-old son who is traveling for free as a “lap child.” In the airport parking lot, you put him into his forwardfacing car seat, where he sits much more contentedly than he did in the rear-facing one that was mandatory until his first birthday. After he falls asleep on the way home, you transfer him to his crib without...

Methods for classification of multivariate data which are based on the nearest neighbors approach solve the problem of classification by an estimate of the probability density at point x of the data space by ratio i/V. i is the number points of a given class of the training set in a suitable ball of volume V with center at point x. The method proposed is based on notion of distribution mapping ...

This article describes a novel method for image-based, minimally invasive registration of the femur, for application to computer-assisted unicompartmental knee arthroplasty. The method is adapted from the well-known iterative closest point algorithm. By utilising an estimate of the hip centre on both the preoperative model and intraoperative patient anatomy, the proposed 'bounded' iterative clo...

The Rosenblueth point estimate method is one of the probabilistic analyses in estimating failure probability of a system, such as a slope. The essence of the approach is to use two point estimates, mean value7standard deviation, to present a variable in safety evaluation. The simple and straightforward framework leads to its wide application, but as a system governed by n variables (n is large)...