INTRODUCTION Our study examines the frequency of joint investigations by child protection workers and the police in sexual abuse investigations compared to other maltreatment types and the association of child-, caregiver-, maltreatment- and investigation-related characteristics in joint investigations, focussing specifically on investigations involving sexual abuse. METHODS We analyzed data ...

We develop a Bayesian method for nonparametric model–based quantile regression. The approach involves flexible Dirichlet process mixture models for the joint distribution of the response and the covariates, with posterior inference for different quantile curves emerging from the conditional response distribution given the covariates. An extension to allow for partially observed responses leads ...

In this paper, we propose a method to estimate the 3D human posture from monocular image without using the markers. A 3D human body is expressed by a multi-joint model, and a set of the joint angles describes a posture. The proposed method estimates the posture using Histograms of Oriented Gradients (HOG) feature vectors that can express the shape of the object in the input image obtained from ...

The development of an asymptotic theory relating to the size of a bandwidth of a variable that is entered into a nonparametric regression is becoming well understood. However, the connections between variables that are smoothed away and those that are tested for significance has not been previously studied. This paper proposes a variety of simulation exercises to examine the performance of both...

Three hundred and fifty seven subjects (178 males and 179 females) with insulin dependent diabetes mellitus were evaluated for the presence of limited joint mobility of the interphalangeal joints. Sixty six subjects (19%) had stage 1 and 26 subjects (7%) had stage 2 involvement of their interphalangeal joints. The presence of contractures was significantly related to mean longitudinal glycated ...

The Kinect sensor offers new perspectives for the development and application of affordable, portable and easy-to-use markerless motion capture (MMC) technology. However, at the moment, accuracy of this device is still not known. In this study we compare results from Kinect (MMC) with those of a stereophotogrammetric system (marker based system [MBS]). 27 subjects performed a deep squatting mot...

When data contains components with different characteristics and it is required to identify both, standard Gaussian regression, based on a model with a single stochastic process, is inadequate. In this paper, a novel adaptation of Gaussian regression, based on models with two stochastic processes, is presented. In both the prior and posterior joint probability distributions, the Gaussian proces...

The Agricultural Resource Management Survey (ARMS) is a high dimensional, complex economic survey which suffers from item non-response. Here, we introduce methods of varying complexity for imputation in this survey. The methods include stratified mean imputation, the approximate Bayesian bootstrap, and non-iterative and iterative sequential regression. The iterative sequential regression is a f...

The method of control variates has been intensively used for reducing the variance of estimated (linear) regression metamodels in simulation experiments. In contrast to previous studies, this article presents a procedure for applying multiple control variates when the objective is to estimate and validate a nonlinear regression metamodel for a single response, in terms of selected decision vari...

We consider the estimation of the multivariate regression function m (x 1 , . . . ,xd) = E [ψ (Yd) | X 1 = x 1 , . . . ,Xd = xd], and its partial derivatives, for stationary random processes {Yi ,Xi} using local higher-order polynomial fitting. Particular cases of ψ yield estimation of the conditional mean, conditional moments and conditional distributions. Joint asymptotic normality is establi...