The partially linear additive model arises in many scientific endeavors. In this paper, we look at inference given panel data and a serially correlated error component structure. By combining polynomial spline series approximation with least squares and the estimation of correlation, we propose a weighted semiparametric least squares estimator (WSLSE) for the parametric components, and a weight...

The European system for cardiac operative risk evaluation (EuroSCORE) is a commonly used risk score for operative mortality following cardiac surgery. We aimed to conduct a systematic review of the performance of the additive and logistic EuroSCORE. A literature search resulted in 67 articles. Studies applying the EuroSCORE on patients undergoing cardiac surgery and which reported early mortali...

Stabilization of graphs has received substantial attention in recent years due to its connection to game theory. Stable graphs are exactly the graphs inducing a matching game with non-empty core. They are also the graphs that induce a network bargaining game with a balanced solution. A graph with weighted edges is called stable if the maximum weight of an integral matching equals the cost of a ...

In this paper we consider additive models in censored regression. We propose a randomly weighted version of the backfitting algorithm that allows for the nonparametric estimation of the effects of the covariates on the response. Given the high computational cost involved, binning techniques are used to speed up the computation in the estimation and testing process. Simulation results and the ap...

This paper introduces a generalized formulation of linear prediction (LP), including both conventional and temporally weighted LP analysis methods as special cases. The temporally weighted methods have recently been successfully applied to noise robust spectrum analysis in speech and speaker recognition applications. In comparison to those earlier methods, the new generalized approach allows mo...

This paper proposes a context-dependent additive acoustic modelling technique and its application to logarithmic fundamental frequency (logF0) modelling for HMM-based speech synthesis. In the proposed technique, mean vectors of state-output distributions are composed as the weighted sum of decision treeclustered context-dependent bias terms. Its model parameters and decision trees are estimated...

The additive clustering model is widely used to infer the features of a set of stimuli from their similarities, on the assumption that similarity is a weighted linear function of common features. This paper develops a fully Bayesian formulation of the additive clustering model, using methods from nonparametric Bayesian statistics to allow the number of features to vary. We use this to explore s...

The Wills functional of a convex body was originally defined as the sum of its intrinsic volumes. Meanwhile, various integral representations of the Wills functional have been introduced. In this paper we will introduce and examine the weighted parallel volumes as a class of functionals generalising the integral representations of the Wills functional. We will discuss to which extent the weight...

This article continues our exploration of the utility of gambling, but here under the assumption of a nonadditive but p(olynomial)-additive representation of joint receipt. That assumption causes the utility of gambling term to have a multiplicative impact, rather than just an additive one, on what amounts to ordinary weighted utility. Assuming the two rational recursions known as branching and...

We study the approximability of minimum total weighted tardiness with a modified objective which includes an additive constant. This ensures the existence of a positive lower bound for the minimum value. Moreover the new objective has a natural interpretation in Just-In-Time production systems.