We consider combinations of subjective survey forecasts and model-based forecasts from linear and non-linear univariate specifications as well as multivariate factor-augmented models. Empirical results suggest that a simple equal-weighted average of survey forecasts outperform the best model-based forecasts for a majority of macroeconomic variables and forecast horizons. Additional improvements...

In this paper we present a spectral algorithm for learning weighted finite-state sequence taggers (WFSTs) over paired input-output sequences, where the input is continuous and the output discrete. WFSTs are an important tool for modelling paired input-output sequences and have numerous applications in real-world problems. Our approach is based on generalizing the class of weighted finite-state ...

Varying-coeecient models are an extension of generalized linear models. In this case the coeecients are allowed to vary smoothly with the value of other variables. We present a "local Fisher scoring backktting" algorithm based on a weighted local likelihood approach where the components are iteratively tted. An example will illustrate the usefulness of this approach.

Choosing proper locations of urban transit hubs has always been one of the critical concerns facing urban transportation planning agencies in China. This study proposes a mixed integer optimal location model for urban transit hubs, with the objective to minimize the demand-weighted total travel time, when explicitly taking into account Traffic Analysis Zones (TAZs) as demand origins or destinat...

Here we show that Lerner’s method of local mean oscillation gives a simple proof of theA2 conjecture for spaces of homogeneous type: that is, the linear dependence on the A2 norm for weighted L 2 Calderon-Zygmund operator estimates. In the Euclidean case, the result is due to Hytönen, and for geometrically doubling spaces, Nazarov, Rezinikov, and Volberg obtained the linear bound.

Local weighted tree languages over semirings are introduced. For an arbitrary semiring, a weighted tree language is shown to be recognizable iff it appears as the image of a local weighted tree language under a deterministic relabeling.

Nonparametric regression estimator based on locally weighted least squares fitting has been studied by Fan and Ruppert and Wand. The latter paper also studies, in the univariate case, nonparametric derivative estimators given by a locally weighted polynomial fitting. Compared with traditional kernel estimators, these estimators are often of simpler form and possess some better properties. In th...

With the development of industry, physical model controlled object tends to be complicated and unknown. It is particularly important estimate state variables a nonlinear system when This paper proposes estimation method based on adaptive fusion multiple kernel functions improve accuracy estimation. First, dynamic neural network used build model, where function node constructed by weighted linea...

A simple inverse problem for the wave equation requires determination of both velocity in a homogenous acoustic material and transient waveform an isotropic point radiator, given time history wavefield at remote space. The duration (support) source source-to-receiver distance are assumed known. least squares formulation this exhibits "cycle-skipping" behaviour observed field scale problems type...