extended abstract 1. introduction high traffic volume is one of the most common problems of urban transportation in metropolises. the increase in the number of vehicles in case of not having necessary predictions also enhances the demand for fueling in places where mostly are unable to respond to such needs. site selection of public facilities is an instance of policies of local governments wit...

A mobile robot can identify its own position relative to a global environment model by using triangulation based on three landmarks in the environment. It is shown that this procedure may be very sensitive to noise depending on spatial landmark connguration, and relative position between robot and landmarks. A general analysis is presented which permits prediction of the uncertainty in the tria...

We solve the principal-agent problem of a monopolist insurer selling to an agent whose riskiness (chance of a loss) is private information, a problem introduced in Stiglitz (1977)’s seminal paper. We prove several properties of optimal menus: the highest type gets full coverage (efficiency at the top), all other types are underinsured (downward distortions elsewhere), the contract is nonnegativ...

For the modelling of time series, multivariate linear and nonlinear systems of equations became a standard tool. These models are also applied for non–stationary processes. However, estimation results in finite samples might depend on the specification of the model dynamics. We propose a method for automatic identification of the dynamic part of VEC– models. Model selection is based on a modifi...

The mean-variance principle of Markowitz (1952) for portfolio selection gives disappointing results once the mean and variance are replaced by their sample counterparts. The problem is ampli…ed when the number of assets is large and the sample covariance is singular or nearly singular. In this paper, we investigate four regularization techniques to stabilize the inverse of the covariance matrix...

Construction of both text-to-speech synthesis (TTS) and automatic speech recognition (ASR) systems involves usage of speech data bases. These data bases usually consist of read text, which means that one has significant control over the content of the data base. Here we address how one can take advantage of this control, by discussing a number of variants of “greedy” text selection methods and ...

Providing quality-of-service (QoS) guarantees in packet networks gives rise to several challenging issues. One of them is how to determine a feasible path that satisfies a set of constraints while maintaining high utilization of network resources. The latter objective implies the need to impose an additional optimality requirement on the feasibility problem. This can be done through a primary c...

To perform inference after model selection, we propose controlling the selective type I error; i.e., the error rate of a test given that it was performed. By doing so, we recover long-run frequency properties among selected hypotheses analogous to those that apply in the classical (non-adaptive) context. Our proposal is closely related to data splitting and has a similar intuitive justification...

Randomized trials can be compromised by selection bias, particularly when enrollment is sequential and previous assignments are unmasked. In such contexts, an appropriate randomization procedure minimizes selection bias while satisfying the need for treatment balance. This paper presents optimal randomization mechanisms based on non-cooperative game theory and the statistics of selection bias. ...

We discuss modelling possibility of short-term forecasting for market parameters in the portfolio selection problems. We suggest a continuous time financial market model and a discrete time market model featuring this possibility. For these models, optimal portfolio selection problem has an optimal quasi-myopic solution. Computationally, the problem is reduced to a stochastic optimal control pr...