In this paper a new and very simple method for monotone estimation of discount curves is proposed. The main idea of this approach is a simple modification of the commonly used (unconstrained) McCulloch Spline. We construct an integrated density estimate from the predicted values of the discount curve. It can be shown that this statistic is an estimate of the inverse of the discount function and...

Zeroes expenditure represent a difficulty in the analysis of household survey data. Zero expenditures are the result of two phenomena: nonconsumption and infrequency of purchase. Distinguishing between these types of zeroes is difficult in the kinds of data of interest to agricultural economists. This paper proposes a novel approach that yields less biased estimates of latent expenditure when t...

In the modeling of biological phenomena, in living organisms whether the measurements are of blood pressure, enzyme levels, biomechanical movements or heartbeats, etc., one of the important aspects is time variation in the data. Thus, the recovery of a \smooth" regression or trend function from noisy time{varying sampled data becomes a problem of particular interest. Here we use non{linear wave...

This paper deals with nonparametric maximum likelihood estimation for Gaussian locally stationary processes. Our nonparametric MLE is constructed by minimizing a frequency domain likelihood over a class of functions. The asymptotic behavior of the resulting estimator is studied. The results depend on the richness of the class of functions. Both sieve estimation and global estimation are conside...

For audio music with time-varying meters, tempo estimation is a challenging task. This paper proposes several new low-level features of tempogram to determine pulse the classification of duple/triple meters, which can guide the determination of the overall tempo. After the judgment of meters, then we apply k-means clustering on tempo curve to perform tempo estimation. Index Terms – Tempo Estima...

The inverse problem formulation of the depth dose curve estimation is applied to sparse non-equally spaced measurement grid and the subsequent solution as well as the selection of measurement depths are discussed. The performance of the proposed estimation method is evaluated with real 6 MeV and 18 MeV photon data. These studies show that the proposed method allows the estimation of the depth d...

In this letter, we consider signals with a low-rank covariance matrix which reside in a low-dimensional subspace and can be written in terms of a finite (small) number of parameters. Although such signals do not necessarily have a sparse representation in a finite basis, they possess a sparse structure which makes it possible to recover the signal from compressed measurements. We study the stat...