Accurate estimates of the penetrance rate of autosomal dominant conditions are important, among other issues, for optimizing recurrence risks in genetic counseling. The present work on penetrance rate estimation from pedigree data considers the following situations: 1) estimation of the penetrance rate K (brief review of the method); 2) construction of exact credible intervals for K estimates; ...

The thesis describes an implementation of a method estimating the heart beat rate based on an analysis of the color changes measured in a video of a human face. We use a 3D facial landmark tracker that allows to extract a stable region on a face needed to acquire a robust measurement of the color changes. A simple model is proposed to approximate a linear projection of the color signal by sinus...

Motivated by questions in lossy data compression and by theoretical considerations, this paper examines the problem of estimating the rate-distortion function of an unknown (not necessarily discretevalued) source from empirical data. The main focus is the behavior of the so-called “plug-in” estimator, which is simply the rate-distortion function of the empirical distribution of the observed dat...

Chirp-rate, as a second derivative of signal phase, is an important feature of nonstationary signals in numerous applications such as radar, sonar, and communications. In this paper, an adaptive algorithm for the chirp-rate estimation is proposed. It is based on the confidence intervals rule and the cubic-phase function. The window width is adaptively selected to achieve good tradeoff between b...

A general framework is presented for accurately and efficiently estimating the phenomenological pressure-dependent rate coefficients for reaction networks of arbitrary size and complexity using only high-pressure-limit information. Two aspects of this framework are discussed in detail. First, two methods of estimating the density of states of the species in the network are presented, including ...

COVID-19 is a global pandemic that significantly impacts all aspects. The number of victims who died makes this disease so terrible. Various policies continue to be pursued reduce the spread and impact COVID-19. can modeled in differential equation modeling. This modeling known as SIR Model. A expressed state-space model. model widely used design modern control system. research carried out tran...

A d-dimensional nonparametric additive regression model with dependent observations is considered. Using the marginal integration technique and wavelets methodology, we develop a new adaptive estimator for a component of the additive regression function. Its asymptotic properties are investigated via the minimax approach under the L2 risk over Besov balls. We prove that it attains a sharp rate ...

Model-based approaches to 3D hand tracking have been shown to perform well in a wide range of scenarios. However, they require initialisation and cannot recover easily from tracking failures that occur due to fast hand motions. Data-driven approaches, on the other hand, can quickly deliver a solution, but the results often suffer from lower accuracy or missing anatomical validity compared to th...